Wind power hydrogen production platform control method, device, equipment and medium

Abstract

The application discloses a wind power hydrogen production platform control method, device, equipment and medium. The first predicted power of the first period of the wind driven generator is determined. The hydrogen production predetermined parameter of the hydrogen production mechanism in the first period and the energy control parameter meeting the hydrogen production predetermined parameter are determined according to the first predicted power of the first period of the wind driven generator. In the process of controlling the hydrogen production mechanism to produce hydrogen according to the energy control parameter and the hydrogen production predetermined parameter, the energy matching state of the current hydrogen production demand of the hydrogen production mechanism and the energy control parameter is monitored. The dynamic control parameter for correcting the energy control parameter is generated based on the energy matching state, and the dynamic control parameter includes the control parameter of at least one of the wind driven generator, the energy storage component and the power grid. The embodiment of the application combines the hydrogen production predetermined parameter of the hydrogen production mechanism to improve the accuracy of the determined energy control parameter. In actual execution, the energy control parameter is dynamically corrected to be executed according to the hydrogen production predetermined parameter, and the energy control precision is improved.

Description

Technical Field

[0001] This application belongs to the field of energy control technology, specifically relating to a control method, device, equipment and medium for a wind power hydrogen production platform. Background Technology

[0002] Wind turbines convert wind energy into electricity, which can then be used to produce hydrogen, transmitted to the power grid, or stored in energy storage devices for later use. However, current wind power-to-hydrogen platforms suffer from insufficient precision in controlling the hydrogen production process. Summary of the Invention

[0003] This application provides a control method, apparatus, equipment, and computer storage medium for a wind power hydrogen production platform, which can improve the accuracy of energy control.

[0004] In a first aspect, embodiments of this application provide a control method for a wind power hydrogen production platform, including: Determine the first predicted power output of the wind turbine in the first time period following its operation. Based on the first predicted power of the wind turbine in the first time period, determine the hydrogen production predetermined parameters of the hydrogen production unit in the first time period and the energy control parameters that satisfy the hydrogen production predetermined parameters. During the process of controlling the hydrogen production of the hydrogen production unit according to the energy control parameters and the hydrogen production predetermined parameters, the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters is monitored. Based on the energy matching status, dynamic control parameters are generated to correct the energy control parameters. The dynamic control parameters include control parameters of at least one of the wind turbine, energy storage components, and power grid.

[0005] Secondly, embodiments of this application provide a wind power hydrogen production platform control device, comprising: The first predicted power determination module is used to determine the first predicted power of the wind turbine in the subsequent first time period; The planning module is used to determine the hydrogen production predetermined parameters of the hydrogen production unit in the first period and the energy control parameters that satisfy the hydrogen production predetermined parameters based on the first predicted power of the wind turbine in the first period. The monitoring module is used to monitor the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters during the process of controlling the hydrogen production unit to produce hydrogen according to the energy control parameters and the hydrogen production predetermined parameters. A dynamic adjustment module is used to generate dynamic control parameters for correcting the energy control parameters based on the energy matching state. The dynamic control parameters include control parameters of at least one of the wind turbine, energy storage components, and power grid.

[0006] Thirdly, embodiments of this application provide a wind power hydrogen production platform, including: a wind turbine generator, an energy storage component, a hydrogen production mechanism, and an energy control system that applies the wind power hydrogen production platform control method as described in the first aspect; The energy control system is used to exchange data with the power grid, the wind turbine, the energy storage component, and the hydrogen production unit through a data transmission protocol that meets power grid security constraints.

[0007] Fourthly, embodiments of this application provide a wind power hydrogen production platform control device, including: a processor and a memory storing computer program instructions; Fifthly, embodiments of this application provide a method for controlling a wind power hydrogen production platform as described in the first aspect, whereby the processor executes the computer program instructions.

[0008] In a sixth aspect, embodiments of this application provide a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement the wind power hydrogen production platform control method as described in the first aspect.

[0009] In a seventh aspect, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the wind power hydrogen production platform control method as described in the first aspect.

[0010] The wind power hydrogen production platform control method, apparatus, equipment, and computer storage medium of this application embodiment, after determining the first predicted power of the wind turbine in the subsequent first time period, determines the hydrogen production predetermined parameters of the hydrogen production unit in the first time period and the energy control parameters that meet the hydrogen production predetermined parameters based on the first predicted power of the first time period. Thus, energy control parameters that are relatively matched with the hydrogen production amount of the hydrogen production unit are generated before hydrogen production. Since the hydrogen production of the hydrogen production unit is controlled according to the predetermined energy control parameters and hydrogen production predetermined parameters, the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters is monitored. Thus, when the energy of the wind power generation may deviate from the first predicted power, making it difficult to execute according to the hydrogen production predetermined parameters, dynamic control parameters for correcting the energy control parameters can be generated based on the energy matching status. Since the dynamic control parameters include control parameters of at least one of the wind turbine, energy storage components, and the power grid, the energy of the wind turbine, energy storage components, and the power grid can be effectively coordinated to improve the energy control accuracy of the hydrogen production process of the hydrogen production unit. Attached Figure Description

[0011] Figure 1 A flowchart of a wind power hydrogen production platform control method provided in this application embodiment; Figure 2This application provides an example of an interaction diagram of various devices. Figure 3 This application provides a schematic diagram of an energy control parameter generation process. Figure 4 A flowchart illustrating the process of determining predetermined parameters for hydrogen production in a hydrogen production facility during a first time period, as provided in one embodiment of this application; Figure 5 A flowchart illustrating the process of determining the energy control parameters of the power grid under conditions of power surplus, as provided in an embodiment of this application; Figure 6 This is a schematic diagram of an electricity price charging strategy provided in an embodiment of this application; Figure 7 A schematic diagram illustrating a process for determining energy control parameters based on power supplementation conditions, provided in an embodiment of this application; Figure 8 A first flowchart for generating dynamic control parameters is provided in this application embodiment; Figure 9 A second flowchart for generating dynamic control parameters is provided in this application embodiment; Figure 10 An interactive schematic diagram of an energy control system provided in an embodiment of this application; Figure 11 This is a schematic diagram of the structure of a wind power hydrogen production platform control device provided in another embodiment of this application; Figure 12 This is a schematic diagram of the structure of a wind power hydrogen production platform control device provided in another embodiment of this application. Detailed Implementation

[0012] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0013] The terms "first," "second," etc., used in this application's specification are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class, without limiting the number of objects; for example, a first object can be one or more. Furthermore, in the specification, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects have an "or" relationship.

[0014] Furthermore, the acquisition, storage, use, and processing of data in this application's technical solution all comply with relevant national laws and regulations.

[0015] Furthermore, it should be noted that in the embodiments of this application, certain software, components, models, and other existing solutions in the industry may be mentioned. These should be considered as exemplary, and their purpose is only to illustrate the feasibility of implementing the technical solution of this application. However, it does not mean that the applicant has used or necessarily used the solution.

[0016] In wind power-to-hydrogen scenarios, the electricity generated by wind turbines can be used to produce hydrogen. However, in the energy control process of distributing the electricity generated by the wind turbines to the hydrogen production facility, there may be a problem of low energy control accuracy due to a mismatch between the electricity produced by the wind turbines and the needs of the hydrogen production facility. This is because energy control parameters are currently determined based on the predicted power of the wind turbines. However, the actual energy output of wind turbines fluctuates during operation, which may lead to a mismatch between the energy produced by the wind turbines and the requirements of the hydrogen production facility when using energy control parameters for hydrogen production.

[0017] To this end, this application provides a wind power hydrogen production platform control method, apparatus, equipment, medium, and product. After determining the first predicted power of the wind turbine in the subsequent first time period, the hydrogen production mechanism's predetermined hydrogen production parameters and energy control parameters that satisfy these parameters are determined based on the first predicted power. This generates energy control parameters that closely match the hydrogen production capacity of the hydrogen production mechanism before hydrogen production begins. During the process of controlling the hydrogen production mechanism according to the predetermined energy control parameters and hydrogen production parameters, the energy matching status between the current hydrogen production demand and the energy control parameters is monitored. Therefore, when the energy from the wind turbine may deviate from the first predicted power, making it difficult to execute according to the predetermined hydrogen production parameters, dynamic control parameters for correcting the energy control parameters can be generated based on the energy matching status. Since the dynamic control parameters include control parameters for at least one of the wind turbine, energy storage components, and the power grid, the energy from the wind turbine, energy storage components, and the power grid can be effectively coordinated, improving the energy control accuracy of the hydrogen production process.

[0018] In this embodiment, the wind power hydrogen production platform is an integrated platform comprising a wind turbine, energy storage components, a hydrogen production mechanism, and an energy control system. The wind turbine generates electricity, which is then supplied to the hydrogen production mechanism or the power grid. The hydrogen production mechanism generates hydrogen, a clean energy source, based on the electricity provided by the wind turbine and other energy components. The energy storage components provide electricity to the hydrogen production mechanism, store the electricity generated by the wind turbine, and also supply electricity to the power grid. The energy control system controls the various components within the wind power hydrogen production platform, specifically by generating energy control parameters for each component to achieve control over the components.

[0019] It is understood that in the embodiments of this application, the energy control system can interact with the wind turbine, energy storage components, hydrogen production mechanism and power grid to determine the energy demand and energy production of each device in the wind power hydrogen production platform, and then generate energy control parameters and dynamic control parameters to achieve rational energy utilization.

[0020] The control method for the wind power hydrogen production platform provided in this application will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.

[0021] Figure 1 A flowchart of a wind power hydrogen production platform control method provided in this application embodiment is shown below. Figure 1 As shown, the control method for the wind power hydrogen production platform may include the following S110~S140.

[0022] S110: Determine the first predicted power of the wind turbine in the first time period.

[0023] In this embodiment, the first time period is a future time period following the current time period. For example, if the current time period is from 11:45 AM on May 31, 2026 to 12:00 PM on May 31, 2026, then the first time period can be any time period starting at 12:01 PM on May 31, 2026 and ending at any time after 12:01 PM on May 31, 2026. The duration of the first time period can be set as needed; for example, the duration can be 15 minutes, 30 minutes, etc.

[0024] The first power can be determined by various methods, and the embodiments of this application do not limit this.

[0025] For example, a power prediction model can be pre-trained based on a training dataset. The training dataset can include input samples and corresponding output labels, where the output label is the wind turbine power for a historical time period. Input samples can include wind turbine power, weather, temperature, and other input data from earlier historical time periods. In subsequent use, the current power of the wind turbine before a specific time period can be input into the power prediction model to obtain the first predicted power for that time period. The power prediction model can employ network structures such as Long Short-Term Memory (LSTM) networks, convolutional neural networks, and bidirectional LSM networks.

[0026] For example, time series models can also be used to predict the first predicted power of a wind turbine in the first subsequent period by analyzing the autocorrelation and randomness of historical power data.

[0027] S120: Based on the first predicted power of the wind turbine in the first time period, determine the hydrogen production predetermined parameters of the hydrogen production unit in the first time period and the energy control parameters that meet the hydrogen production predetermined parameters.

[0028] The hydrogen production parameters may include the power of the hydrogen production unit in the first time period and the amount of hydrogen produced by the hydrogen production unit based on the power in the first time period.

[0029] In some embodiments, the power and amount of hydrogen produced by the hydrogen production unit during hydrogen production can be determined based on the amount of hydrogen that can be stored in the storage components of the hydrogen production unit, in conjunction with a first predicted power, to obtain predetermined parameters for hydrogen production in the first time period. The amount of hydrogen produced based on this power during hydrogen production may be less than or equal to the amount of hydrogen that can be stored in the storage components of the hydrogen production unit.

[0030] Energy control parameters may include at least one of the following parameters: the amount of electricity generated by the energy storage module in the first time period, the grid discharge power in the first time period, the amount of power curtailed in the first time period, the cumulative amount of curtailed power, the grid-connected power, and the power disconnected from the grid. Energy control parameters can be used to characterize the current power, amount of electricity, and output power of at least one of the energy storage module, the grid, the wind turbine, and the hydrogen production unit in the first time period. In the first time period, the energy storage module, the grid, and the hydrogen production unit can all obtain and / or supply energy from external sources, and the energy control parameters are the control parameters used to control the energy acquisition and / or supply of energy by the energy storage module, the grid, and the hydrogen production unit. Energy control parameters that meet the predetermined parameters for hydrogen production can coordinate with at least one energy source, such as the electricity from the wind turbine, to control the amount of hydrogen produced by the hydrogen production unit in the first time period. For example, energy control parameters may include the energy supply ratios of the energy storage module, the grid, and the wind turbine.

[0031] In some embodiments, the hydrogen production unit can supply energy by releasing hydrogen to the outside, or it can produce hydrogen from electrical energy supplied by energy storage components.

[0032] In some embodiments, when determining energy control parameters, the power operating condition of the hydrogen production unit can be determined based on the relationship between the predicted power of the hydrogen production unit and the predicted power of the wind turbine, and then different energy control parameter determination processes can be executed to obtain energy control parameters corresponding to the power operating condition.

[0033] S130: During the process of controlling the hydrogen production of the hydrogen production unit according to the energy control parameters and the predetermined hydrogen production parameters, monitor the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters.

[0034] The energy matching status characterizes whether the current hydrogen production demand matches the hydrogen production energy required for the first time period in the energy control parameters. For example, the energy matching status can be determined based on whether the power and electricity required by the hydrogen production facility to meet the current hydrogen production demand are the same as the power and electricity required by the hydrogen production facility in the energy control parameters.

[0035] For example, if the first predicted power of the wind turbine is the same as the current power of the wind turbine, and the power or electricity of the hydrogen production unit in the first period is the same as the power or electricity actually required for the current hydrogen demand, or the amount of hydrogen generated by the hydrogen production unit in the first period is the same as the current hydrogen demand, then it indicates that there is no deviation between the predicted amount and the current amount, the energy matching state can be matched, and there is no need to dynamically correct the energy control parameters.

[0036] If the first predicted power of the wind turbine is different from the current power of the wind turbine, or the power or electricity of the hydrogen production unit in the first period is different from the actual power or electricity required for the current hydrogen demand, or the amount of hydrogen actually generated by the hydrogen production unit in the first period is different from the current hydrogen demand, then there is a deviation between the predicted amount and the current amount, the energy matching status may be mismatched, and S140 needs to be executed.

[0037] In some embodiments, a deviation range can also be set, and if the deviation between the predicted quantity and the current quantity is less than the preset deviation range, the energy matching state is determined to be matched.

[0038] S140: Generate dynamic control parameters based on energy matching status to correct energy control parameters.

[0039] Dynamic control parameters include control parameters of at least one of the wind turbine, energy storage components, and power grid.

[0040] For example, the predetermined hydrogen production parameters of the hydrogen production unit in the first period can be used as the correction target to correct the control parameters such as the power, input and output electricity of the wind turbine, energy storage components and the power grid in the first period, so as to obtain dynamic control parameters.

[0041] In this embodiment, after determining the first predicted power of the wind turbine in the subsequent first time period, the hydrogen production unit determines the hydrogen production predetermined parameters and the energy control parameters that satisfy the hydrogen production predetermined parameters based on the first predicted power of the first time period. Thus, energy control parameters that are relatively matched with the hydrogen production capacity of the hydrogen production unit are generated before hydrogen production. Since the hydrogen production of the hydrogen production unit is controlled according to the predetermined energy control parameters and the hydrogen production predetermined parameters, the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters is monitored. Thus, when the energy of the wind turbine may deviate from the first predicted power, making it difficult to execute according to the hydrogen production predetermined parameters, dynamic control parameters for correcting the energy control parameters can be generated based on the energy matching status. Since the dynamic control parameters include control parameters of at least one of the wind turbine, energy storage components, and the power grid, the energy of the wind turbine, energy storage components, and the power grid can be effectively coordinated to improve the energy control accuracy of the hydrogen production unit in the hydrogen production process.

[0042] In some embodiments, when the energy control system interacts with various devices in the wind power hydrogen production platform and with the power grid, it uses a data transmission protocol that satisfies grid security constraints to exchange data with the power grid, wind turbines, energy storage components, and hydrogen production facilities. For example, the wind turbine can transmit data such as its current power output to the energy control system through a data transmission protocol that satisfies grid security constraints.

[0043] For example, grid security constraints refer to the transmission protocols required in the wind power-to-hydrogen field to ensure the security of data interaction between various devices, as well as the hardware control parameters that each device must meet during operation. For example, hardware control parameters may include downlink power, annual total power dispatch, active power adjustment range, and reactive power adjustment range. Downlink power refers to the power flowing from the grid to the hydrogen production facility. Meeting grid security constraints can be achieved by ensuring that the annual total power dispatch is less than 10% of the total power generation, the downlink power limit is less than the rated value, active power is adjusted within the active power adjustment range, and reactive power is adjusted within the reactive power adjustment range, thus ensuring the stability of grid frequency and voltage during the regulation process using energy control parameters.

[0044] Figure 2 This is a schematic diagram illustrating the interaction between various devices provided in an embodiment of this application. For example... Figure 2As shown, the hydrogen production distributed control system can be understood as the control system of the hydrogen production facility, used to control the amount of hydrogen produced. Power prediction can be performed by any device, and this application does not impose any restrictions on this. Solid lines indicate that each device uses the Modbus protocol to transmit real-time data and perform real-time control. Real-time data may include the aforementioned current power, etc. The Modbus protocol adopts a master-slave architecture, with the master station being the energy control system. The slave stations may include the hydrogen production distributed control system, the wind power energy management system, the photovoltaic energy management system, and energy storage components. The wind power energy management system may include wind turbines, and the photovoltaic energy management system may include photovoltaic power generation components, which will not be discussed in detail in this application.

[0045] The dotted lines indicate that devices use the SSH File Transfer Protocol (SFTP) to transfer non-real-time data. Users of the SSH file transfer protocol can be either clients (SFTP clients) or servers (SFTP servers). The former actively initiates connections and requests to upload or download data, while the latter continuously queries the network, passively waiting for client connections and providing file storage and read / write services. Figure 2 In this context, when the client is an energy control system, the server can include equipment for power prediction and a distributed hydrogen production control system. When the client is a distributed hydrogen production control system, the server can be equipment for power prediction.

[0046] In some embodiments, data such as electricity prices can be transmitted to a device used for power prediction. This device can be used to achieve data aggregation and provide a unified interface. For example, the power prediction device can transmit short-term and ultra-short-term data to the hydrogen production distributed control system via SFTP, and transmit the short-term and ultra-short-term data along with the electricity price data to the energy control system, specifying the power generation and electricity price level in the first time period, so that the hydrogen production distributed control system can determine the hydrogen production, energy storage charging and discharging, grid-connected power, etc. For example, after obtaining the predicted power, the hydrogen production distributed control system can plan the start-up and shutdown of the electrolyzer and the load level in advance, and the energy control system can generate energy control parameters. The short-term and ultra-short-term data and the electricity price data may include data such as the wind turbine power generation prediction curve for the first time period, time-of-use electricity price, trading electricity price, and grid-connected assessment electricity price.

[0047] The hydrogen production distributed control system can transmit short-term and ultra-short-term load files to the energy control system via SFTP. These short-term and ultra-short-term load files can include the hydrogen production demand of the hydrogen production distributed control system.

[0048] For example, the distributed hydrogen production control system generates predetermined hydrogen production parameters for the hydrogen production unit in the first time period based on the received first predicted power, its own hydrogen production task, and the status of the electrolyzer, and sends these parameters to the energy control system. The energy control system can then simultaneously determine the power generation on the source side and the power consumption on the load side, and, in conjunction with the capacity of the energy storage components and grid security constraints, determine energy control parameters to reduce power curtailment or avoid exceeding grid limits, thereby improving energy control accuracy.

[0049] After determining the energy control parameters, the energy control system can return these parameters as short-term and ultra-short-term optimization files via SFTP to the power prediction equipment. It can also return them as deficit data files via SFTP to the hydrogen production distributed control system.

[0050] During the real-time control phase, each slave station, such as the hydrogen production distributed control system, can send real-time data to the energy control system, including, for example, the current power of the hydrogen production unit, so that the energy control system can dynamically correct the energy control parameters.

[0051] In this embodiment, when generating energy control parameters, each device interacts with the others to generate the parameters based on the data obtained from the interaction. To improve the compatibility of the devices, this embodiment uses a data transmission protocol that meets grid security constraints to transmit data, linking with the devices in the wind power hydrogen production platform. This standardizes the interface format and transmission path of each device, ensuring data format uniformity and interface compatibility even when the data from different sources is heterogeneous.

[0052] Figure 3 This is a schematic diagram of an energy control parameter generation process provided in an embodiment of this application, such as... Figure 3 As shown.

[0053] The dotted lines represent information flow, and the solid lines represent energy flow. Wind power represents the wind turbine generator, the hydrogen production power supply and alkaline electrolyzer system constitute the hydrogen production mechanism, and the electrochemical energy storage component is the aforementioned energy storage component.

[0054] The energy control system receives data such as the planned assessment issued by the power grid, the hydrogen production demand for the next 4 hours output by the ultra-short-term wind power forecast for hydrogen production, the time-of-use electricity price predicted by the electricity price forecast module, and the spot electricity price. These data together constitute the constraints of the energy control system.

[0055] The energy control system can generate day-ahead energy control parameters and intraday revised energy control parameters based on received data, realizing a two-tier decision-making mechanism. It is understood that a day may include multiple first-period time periods or only one, which can be set as needed. Day-ahead energy control parameters can be generated based on short-term wind power forecasts, medium- and long-term electricity prices, and the amount of hydrogen produced by hydrogen production facilities, facilitating the determination of grid-connected electricity, energy storage charging and discharging volumes, and hydrogen production electricity quotas for each time period.

[0056] The intraday revised energy control parameters can be obtained by rolling adjustments to the day-ahead energy control parameters based on ultra-short-term forecast data, the real-time status of energy storage components, and grid dynamic requirements, with the duration of the first time period or a smaller step size, to adapt to the volatility of wind turbine power generation. During execution, the energy control system can consider grid performance requirements, hydrogen production facility utilization rate, and the economics of hydrogen production. Under the premise of meeting grid security constraints, priority is given to using the electricity generated by wind turbines for hydrogen production. Excess electricity is allocated to the grid or stored in energy storage components. If there is still excess electricity, power curtailment is implemented. If the generated electricity is insufficient for the use of hydrogen production facilities, the energy storage components discharge to supplement electricity from the grid.

[0057] For example, the electrical energy generated by wind turbines can be transmitted to the power grid, energy storage components, and hydrogen production facilities. When transmitted to the power grid, it participates in electricity trading and grid connection assessments. When transmitted to energy storage components, surplus electrical energy can be stored in the form of chemical energy. When transmitted to hydrogen production facilities, it can serve as the primary energy source for hydrogen electrolysis. When there is still surplus electrical energy, it is treated as waste electricity.

[0058] In some embodiments, when executing S120 to generate the hydrogen production predetermined parameters for the hydrogen production unit in the first time period, the supply and demand relationship between hydrogen production and hydrogen output can be precisely coordinated by matching the hydrogen production demand and hydrogen delivery demand of the hydrogen production unit, so as to ensure that the planned hydrogen output is in line with the actual hydrogen supply capacity of the hydrogen production unit.

[0059] For example, a first current storage capacity of a storage component for storing hydrogen output from a hydrogen production unit and a first current power of the hydrogen production unit are obtained; The second predicted power of the hydrogen production unit in the first time period is determined based on the first predicted power of the wind turbine in the first time period and the first current power of the hydrogen production unit. Based on the preset hydrogen output, the rated storage space of the storage component, and the first current available storage capacity, the predicted hydrogen output of the storage component in the first time period is determined. Based on the predicted hydrogen output of the storage component in the first time period and the second predicted power, the predetermined parameters for hydrogen production of the hydrogen production unit in the first time period are determined.

[0060] The storage component can be a hydrogen storage tank or other forms of hydrogen storage equipment; this application embodiment does not limit this. To determine the predetermined parameters for hydrogen production in the first time period, the available storage capacity of the storage component and the power of the hydrogen production mechanism in the current time period can be obtained, i.e., the first current available storage capacity and the first current power. Then, based on the first predicted power of the wind turbine in the first time period and the first current power of the hydrogen production mechanism, the second predicted power of the hydrogen production mechanism in the first time period can be determined. For example, the power relationship between the first predicted power and the first current power can be determined, and then a power adjustment strategy—whether the power of the hydrogen production mechanism in the first time period needs to be increased, decreased, or remained unchanged compared to the first current power—can be determined to obtain the second predicted power.

[0061] The preset hydrogen output refers to the amount of hydrogen that the hydrogen production unit is required to produce in the first time period. This can be set as needed, and this embodiment does not impose any limitations on it. The rated storage space of the storage component refers to the total amount of hydrogen that the storage component can store.

[0062] When determining the predicted hydrogen output of the storage component in the first time period, the storage deviation between the rated storage space of the storage component and the first current available storage capacity can be determined first, and the amount of hydrogen already stored in the storage component can be obtained.

[0063] To determine the amount of hydrogen to be output, the predicted hydrogen output of the storage unit in the first time period can be determined based on the smaller of the preset hydrogen output and the amount of hydrogen already stored in the storage unit. Thus, based on the predicted hydrogen output of the storage unit in the first time period and the second predicted power, the predetermined parameters for hydrogen production in the first time period can be determined.

[0064] In this embodiment, by presetting the hydrogen output and the amount of hydrogen already stored in the storage component, the predicted hydrogen output of the storage component in the first time period is determined. The hydrogen output can be determined according to the actual output of the hydrogen production unit, reducing the problem that the predetermined hydrogen output is greater than the amount of hydrogen that the hydrogen production unit can actually produce, thereby improving the accuracy of subsequent energy control.

[0065] In some embodiments, since there may still be remaining available space in the storage component after the amount of hydrogen produced by the hydrogen production unit in the first period is stored in the storage component, the remaining available space in the storage component in the first period can be determined in order to facilitate the subsequent determination of the hydrogen production predetermined parameters after the first period.

[0066] For example, the predicted storage capacity of the storage component in the first period is determined based on the first current storage capacity, the second predicted power, and the predicted hydrogen output of the storage component in the first period. Based on the second predicted power, the predicted hydrogen output of the storage component in the first time period, and the predicted remaining storage capacity of the storage component in the first time period, the predetermined parameters for hydrogen production of the hydrogen production unit in the first time period are generated.

[0067] Understandably, when determining the remaining available space of the storage component in the first time period, the amount of hydrogen produced after operating at the second predicted power for the first time period can be divided by the first current available storage amount to obtain the first intermediate remaining amount. Then, the space corresponding to the predicted hydrogen output of the first time period can be added to the first intermediate remaining amount to obtain the predicted available storage amount of the storage component in the first time period.

[0068] It is understandable that after the hydrogen production unit operates at the second predicted power for the duration corresponding to the first time period, the amount of hydrogen produced will occupy part of the space of the first current available storage capacity, and the first current available storage capacity will decrease. Therefore, the first intermediate remaining amount is the difference between the first current available storage capacity and the amount of hydrogen produced after operating at the second predicted power for the duration corresponding to the first time period.

[0069] After the hydrogen predicted output is released, the corresponding space in the storage component will be freed up. For the storage component, the first current storage capacity increases. Therefore, the predicted storage capacity is the sum of the first intermediate remaining amount and the hydrogen predicted output in the first time period.

[0070] In some embodiments, after operating at the second predicted power for the duration corresponding to the first time period, the amount of hydrogen produced can be the product of the second predicted power and a preset time period coefficient. The preset time period coefficient is related to the duration of the first time period. For example, the ratio of the duration of the first time period to one hour can be determined as the preset time period coefficient. When the duration of the first time period is 15 minutes, the preset time period coefficient is 0.25.

[0071] The predicted storage capacity of the storage component in the first time period can be expressed as: LST_24h_t= LST_24h_(t-1) - L_24h_t × 0.25+ LT_24h_t LST_24h_t is the predicted remaining capacity of the storage component in the first time period, LST_24h_(t-1) is the first current remaining capacity, L_24h_t × 0.25 is the amount of hydrogen produced after operating at the second predicted power for the duration corresponding to the first time period, and LT_24h_t is the predicted output of hydrogen from the storage component in the first time period.

[0072] Thus, the predetermined parameters for hydrogen production in the first time period can include the second predicted power, the predicted hydrogen output of the storage unit in the first time period, and the predicted remaining capacity of the storage unit in the first time period.

[0073] In the embodiments of this application, the determined hydrogen production predetermined parameters may include the predicted storage capacity of the storage component in the first time period, which facilitates the subsequent determination of hydrogen production predetermined parameters for other time periods later than the first time period, and improves the efficiency of generating energy control parameters.

[0074] In some embodiments, when determining the second predicted power of the hydrogen production unit in the first time period, the power adjustment variable of the hydrogen production unit in the first time period is determined based on the rated power of the hydrogen production unit and the preset power adjustment coefficient. Based on the power adjustment variable and the first current power of the hydrogen production unit, the first power adjustment threshold and the second power adjustment threshold of the hydrogen production unit in the first time period are determined, and the first power adjustment threshold is less than the second power adjustment threshold. Based on the relationship between the first predicted power of the wind turbine in the first time period and the first power adjustment threshold and the second power adjustment threshold, the second predicted power of the hydrogen production unit in the first time period is determined.

[0075] When adjusting the power of the hydrogen production unit, since there is a power adjustment range in a single power adjustment, in order to stably adjust the first current power of the hydrogen production unit to the second predicted power, the power adjustment deviation between the first current power adjustment and the second predicted power should be within the power adjustment range. Therefore, the adjustable amount of the hydrogen production unit in the first time period can be determined first.

[0076] For example, the product of the rated power of the hydrogen production unit and a preset power adjustment coefficient is determined to obtain the power adjustment variable of the hydrogen production unit in the first time period. The preset power adjustment coefficient can be set as needed; for example, it is set to 0.3. This power adjustment variable represents the maximum value of the power adjustment deviation between the first current power adjustment and the second predicted power.

[0077] Furthermore, the difference between the first current power of the hydrogen production unit and the power adjustment variable can be determined as the first power adjustment threshold within the power adjustment range. The sum of the first current power of the hydrogen production unit and the power adjustment variable can be determined as the second power adjustment threshold within the power adjustment range. The first power adjustment threshold is less than the second power adjustment threshold.

[0078] After determining the power adjustment range of the hydrogen production unit in the first time period, the relationship between the first predicted power and the first power adjustment threshold and the second power adjustment threshold can be further determined, thereby determining the second predicted power of the hydrogen production unit in the first time period.

[0079] In the embodiments of this application, when determining the second predicted power, the maximum adjustable range of the hydrogen production mechanism during a single adjustment is considered, so that the deviation between the determined second predicted power and the first current power is within the adjustable range, thereby ensuring the stability and safety of the equipment when adjusting the hydrogen production power.

[0080] Furthermore, when determining the second predicted power of the hydrogen production unit in the first period based on the relationship between the first predicted power of the wind turbine generator and the first power adjustment threshold and the second power adjustment threshold, there are three possible scenarios, and the second predicted power will be determined differently depending on the scenario.

[0081] In some embodiments, if the first predicted power of the wind turbine is less than the first power adjustment threshold in the first time period, the first power adjustment threshold is determined as the second predicted power of the hydrogen production unit in the first time period. When the first predicted power is greater than the first power adjustment threshold and less than or equal to the first current power of the hydrogen production unit, the first current threshold power required for the hydrogen production unit to output the first current storable amount is determined based on the first current storable amount and the preset time period coefficient. The preset time period coefficient is negatively correlated with the first current threshold power. The second predicted power is determined based on the smaller of the first current threshold power and the first predicted power; If the first predicted power is greater than or equal to the second power adjustment threshold, the second predicted power is determined based on the smaller of the first current threshold power and the second power adjustment threshold.

[0082] If the first predicted power of the wind turbine is less than the first power adjustment threshold during the first time period, it indicates that the first predicted power is less than the maximum downward adjustment capability of the hydrogen production unit. Therefore, it is impossible to adjust the power of the hydrogen production unit during the first time period to make the first predicted power consistent with or approximately equal to the second predicted power. In this case, the second predicted power of the hydrogen production unit during the first time period is the first power adjustment threshold.

[0083] When the first predicted power is greater than the first power adjustment threshold and less than or equal to the first current power of the hydrogen production unit, it indicates that the second predicted power, which can be obtained by adjusting the first current power downward within the power adjustment range, can be consistent with or approximately equal to the first predicted power.

[0084] When adjusting downwards, the maximum power required for the hydrogen production unit to generate the amount of hydrogen equivalent to the first current storable amount within the first time period can be determined first. For example, the result obtained by dividing the first current storable amount by a preset time period coefficient can be used as the first current threshold power required for the hydrogen production unit to output the first current storable amount.

[0085] The second predicted power needs to be less than the first current threshold power to ensure that the amount of hydrogen produced by the hydrogen production unit in the first time period is less than or equal to the amount of hydrogen that the storage component can store, thereby ensuring that the produced hydrogen can be stored inside the storage component and ensuring the safety of the storage component.

[0086] Furthermore, the smaller of the first current threshold power and the first predicted power is determined as the second predicted power.

[0087] When the first predicted power is less than or equal to the second power adjustment threshold, it indicates that the first predicted power exceeds the maximum up-adjustment capacity of the hydrogen production unit, and it is impossible to achieve consistency or approximate equality between the first and second predicted power by adjusting the power of the hydrogen production unit in the first time period. In this case, the second predicted power of the hydrogen production unit in the first time period can be determined as the smaller value between the first current threshold power and the second power adjustment threshold.

[0088] If the first predicted power is greater than the first current power of the hydrogen production mechanism and less than the second power adjustment threshold, it indicates that the first predicted power is still within the maximum upward adjustment capability of the hydrogen production mechanism. Therefore, the first predicted power can be used as the second predicted power of the hydrogen production mechanism at the first moment.

[0089] In this embodiment, by limiting the second predicted power based on the relationship between the first predicted power and the power adjustment range, the power generated by the fluctuating wind turbine can be maximized while ensuring the safety of the physical equipment, thus extending the service life of the hydrogen production mechanism.

[0090] Figure 4 A flowchart illustrating the determination of predetermined hydrogen production parameters for a hydrogen production facility in a first time period, as provided in one embodiment of this application, is shown below. Figure 4 As shown. Includes steps S401 to S407.

[0091] S401, Electrolytic cell status adjustment.

[0092] After determining the first predicted power, the state of the electrolyzer can be judged based on the first current available storage capacity and the first predicted power. The electrolyzer is the electrolyzer of the hydrogen production mechanism, and the state of the electrolyzer characterizes the power regulation capability of the hydrogen production mechanism.

[0093] If there is room for adjustment in the hydrogen production mechanism of the electrolyzer's state characterization, S402 can be executed. If the hydrogen production mechanism of the electrolyzer's state characterization is within the adjustable range, S403 can be executed. If the hydrogen production mechanism of the electrolyzer's state characterization cannot meet the adjustment requirements, S404 can be executed.

[0094] The state of the electrolyzer can be determined based on the relationship between the first predicted power of the wind turbine in the first time period and the first power adjustment threshold and the second power adjustment threshold.

[0095] For example, if the first predicted power of the wind turbine is less than the first power adjustment threshold during a first time period, the state characterization of the hydrogen production mechanism of the electrolyzer cannot meet the adjustment requirements. If the first predicted power is greater than the first power adjustment threshold and less than or equal to the first current power of the hydrogen production mechanism, the state characterization of the hydrogen production mechanism of the electrolyzer is within the adjustable range. If the first predicted power is greater than or equal to the second power adjustment threshold, the state characterization of the hydrogen production mechanism of the electrolyzer has room for upward adjustment.

[0096] S402, Second Predicted Power = min(First Current Threshold Power, Second Power Adjustment Threshold).

[0097] Here, min represents the function that takes the minimum value.

[0098] S403, Second Predicted Power = min(First Current Threshold Power, First Predicted Power).

[0099] S404, Second Predicted Power = First Power Adjustment Threshold.

[0100] S405, First intermediate remaining amount = First current storable remaining amount - Amount of hydrogen produced after the duration corresponding to the first period of second predicted power operation.

[0101] S406, Predicted hydrogen output = min (the amount of hydrogen already stored in the storage component, the preset hydrogen output).

[0102] S407, the predicted storable amount of the storage component in the first time period = the predicted output of hydrogen + the first intermediate remaining amount.

[0103] Based on S402~S404, the second predicted power in the hydrogen production predetermined parameters can be determined; based on S406, the predicted output of hydrogen in the hydrogen production predetermined parameters can be determined; and based on S407, the predicted storable amount of the storage component in the hydrogen production predetermined parameters in the first time period can be determined.

[0104] In some embodiments, when performing S120 to determine the energy control parameters that meet the predetermined parameters for hydrogen production, the power operating conditions of the hydrogen production unit can be determined first, so that the energy control parameters can be determined based on different power operating conditions.

[0105] For example, a first power deviation is determined between the first predicted power of the wind turbine in a first time period and the second predicted power in the hydrogen production predetermined parameters, wherein the second predicted power is the predicted power of the hydrogen production unit in the first time period; Based on the first power deviation, the power operating condition of the hydrogen production unit is determined, which includes either power shortage or power surplus. Based on the power operating conditions, determine the energy control parameters for the energy storage components and / or the power grid.

[0106] The specific method for determining the second predicted power has already been explained above and will not be repeated here.

[0107] First power deviation = First predicted power - Second predicted power When the first power deviation is greater than or equal to 0, the power operating condition is characterized as a power surplus; when the first power deviation is less than 0, the power operating condition is characterized as a power shortage. A power shortage requires supplementation through energy storage components and / or the power grid, while a power surplus can be stored by transferring excess electrical energy to energy storage components and / or the power grid. Therefore, for different power operating conditions, the energy control parameters of the energy storage components and / or the power grid can be determined; the difference lies in whether the energy control parameters are for outputting or absorbing external electrical energy.

[0108] In this embodiment, for different power operating conditions, the subsequently determined energy control parameters can be divided into two cases: outputting electrical energy and absorbing external electrical energy. Therefore, different strategies for determining energy control parameters can be selected based on the power operating conditions.

[0109] In some embodiments, when determining the energy control parameters of the energy storage component and / or the power grid based on the power operating conditions, if the power operating conditions are in the case of power surplus, the remaining power corresponding to the first current on-grid remaining power and the preset time period coefficient are used to determine the remaining power. The internet power is determined based on the smaller of the preset internet power threshold and the remaining power. If the surplus power in the first time period is greater than or equal to the power connected to the Internet, the power connected to the Internet in the first time period is determined based on the power connected to the Internet and the preset time period coefficient. The surplus power in the first time period is determined based on the first power deviation. The remaining battery power for the first time period is determined based on the current remaining battery power and the battery power used for the first time period. If the surplus power in the first period is less than the grid-connected power, the power curtailed in the first period is determined based on the surplus deviation between the grid-connected power and the surplus power in the first period. The cumulative amount of abandoned power in the first time period is determined based on the abandoned power in the first time period and the first current cumulative amount of abandoned power. The energy control parameters of the power grid are determined based on the grid-connected power, the remaining grid-connected power in the first time period, the power curtailed in the first time period, and the cumulative amount of curtailed power in the first time period.

[0110] When the power supply is in surplus condition, the surplus electricity can be transmitted to the power grid and energy storage components.

[0111] However, since grid security constraints limit the annual grid-connected power, the relationship between the current remaining grid-connected power and the surplus power needs to be considered when transmitting surplus electricity to the grid.

[0112] For example, the remaining available power for internet access can be determined first, and then the relationship between the remaining available power for internet access and the surplus power can be determined.

[0113] For example, when determining the current remaining available power for internet access, the first current remaining power for internet access can be obtained first. The remaining power corresponding to the first current remaining power for internet access is obtained by dividing the first current remaining power for internet access by a preset time period coefficient.

[0114] The smaller of the preset internet power threshold and the remaining power can then be determined as the internet power.

[0115] Furthermore, surplus electricity and surplus power can be converted into each other. Therefore, when determining the relationship between the current remaining grid-connectable power and surplus electricity, it can be transformed into determining the relationship between the current remaining grid-connectable power and surplus power.

[0116] For example, the first power deviation is determined as the surplus power of the first time period. When the surplus power of the first time period is greater than or equal to the grid-connected power, since the grid-connected power is the maximum grid-connected power that the power station is allowed to send to the grid during the first time period, the grid-connected power for the surplus electricity is the grid-connected power of the first time period determined above. The grid-connected electricity in the surplus electricity is the product of the grid-connected power of the first time period and the preset time period coefficient.

[0117] If the preset internet power threshold is less than the remaining power, the former is selected as the internet power. Therefore, the determined internet power consumption for the first time period is less than the current remaining internet power consumption. This allows us to determine the power deviation between the current remaining internet power consumption and the internet power consumption for the first time period, which is then used as the remaining internet power consumption for that time period. This information is then used to determine the internet power and internet power consumption for subsequent time periods later than the first time period.

[0118] It is understandable that the determined on-grid power, the abandoned power, and the remaining on-grid power in the first time period are the energy control parameters of the power grid under the condition of power surplus.

[0119] When the surplus power in the first time period is less than the grid-connected power, the power grid's energy control parameters may also include the cumulative amount of abandoned power in the first time period and the cumulative amount of abandoned power in the first time period.

[0120] Before determining the cumulative amount of abandoned power in the first time period, the surplus power in the first time period can be used as the grid-connected power in the first time period, or the grid-connected power determined above can be used as the grid-connected power in the first time period.

[0121] For the former, there are abandoned electricity and abandoned power. For the latter, both abandoned electricity and abandoned power are 0.

[0122] When determining the cumulative amount of abandoned power in the first time period, the surplus deviation between the grid-connected power and the surplus power in the first time period can be used as the abandoned power in the first time period. Then, the duration of the first time period at this abandoned power is determined, resulting in the amount of abandoned power. This amount of abandoned power is then summed with the first current cumulative amount of abandoned power to obtain the cumulative amount of abandoned power in the first time period.

[0123] The final determined energy control parameters of the power grid may include the grid-connected power in the first time period, the remaining grid-connected power in the first time period, the cumulative amount of abandoned power in the first time period, and the cumulative amount of abandoned power in the first time period.

[0124] Figure 5 A flowchart illustrating the process of determining power grid energy control parameters under power surplus conditions, as provided in the embodiments of this application, is shown below. Figure 5 As shown. Includes S501 to S508.

[0125] S501, Internet power = min (preset Internet power threshold, the remaining power corresponding to the current remaining power for Internet access).

[0126] S502, check online.

[0127] If it is determined that the surplus power in the first time period is greater than or equal to the internet access power, then execute S503~S505. If it is determined that the surplus power in the first time period is less than the internet access power, then execute S506~S508.

[0128] S503, Internet power is the Internet power of the first time period.

[0129] S504, Internet power consumption in the first period = Internet power consumption in the first period * preset period coefficient.

[0130] S505, the remaining battery power for the first period of internet access = the remaining battery power for the first current internet access - the battery power used for internet access in the first period.

[0131] S506, the surplus power in the first time period is used as the internet power in the first time period or the internet power is used as the internet power in the first time period.

[0132] S507, the power curtailed in the first time period = the power supplied to the grid in the first time period - the surplus power in the first time period.

[0133] S508, the cumulative amount of abandoned power in the first period = the amount of abandoned power obtained after the duration of the first period of operation + the current cumulative amount of abandoned power.

[0134] It should be noted that steps S504-S505 can be executed if the surplus power in the first time period is greater than or equal to the internet access power. Steps S507-S508 can also be executed if the surplus power in the first time period is less than the internet access power, the difference being that the internet access power in the first time period may differ from the case where the surplus power in the first time period is greater than or equal to the internet access power. The purpose of executing S502 is to clarify the internet access power in the first time period; subsequent steps S504-S505 and S507-S508 can be executed in both of the aforementioned situations.

[0135] In this embodiment of the application, when there is a power surplus, the surplus power can be fully utilized and economic benefits can be improved by first sending the surplus power to the grid.

[0136] In some embodiments, when the power condition is insufficient, the power of the energy storage component in the first time period is determined; The energy storage discharge power of the energy storage module is determined based on the smaller of the energy storage module's charge in the first time period, the rated power of the energy storage module, and the first power deviation. Based on the relationship between the energy storage discharge power and the rated power of the energy storage module, and the relationship between the energy storage discharge power and the first power deviation, the power supplementation conditions of the energy storage module are determined. The power supplementation conditions include one of the following: sufficient energy storage, insufficient energy storage and failure to reach the rated power of the energy storage module, and insufficient energy storage but reaching the rated power of the energy storage module. Determine the energy control parameters of the energy storage components and / or the power grid based on the power supplementation conditions.

[0137] In the event of power shortage, energy storage components can provide power first. However, the amount of power provided by the energy storage components may not meet the first functional deviation. Therefore, it is necessary to further clarify the power supplementation conditions based on the energy storage status of the energy storage components.

[0138] For example, the energy storage component's charge is first determined.

[0139] For example, it can be determined based on the preset energy consumption of the energy storage component during the fourth time period and a preset time period coefficient. The fourth time period includes multiple first time periods. For example, the fourth time period can be a day, and the first time period can be 15 minutes.

[0140] Then the energy storage component's power in the first time period = the preset energy storage component's power in the fourth time period / preset time period coefficient.

[0141] It should be noted that since the determined power is the power of the first time period, this power is equivalent to the power of the energy storage component in the first time period.

[0142] Therefore, when determining the energy storage discharge power of an energy storage module, the smaller of the energy storage module's charge in the first time period, the rated power of the energy storage module, and the first power deviation can be used as the energy storage discharge power of the energy storage module. The first power deviation is in absolute form when determining the energy storage discharge power of the energy storage module.

[0143] Subsequently, due to the rated power of the energy storage module, to ensure its safety, the discharge power of the energy storage module when supplying electricity to the hydrogen production unit should not exceed its rated power. Furthermore, the energy storage discharge power of the energy storage module may be insufficient to compensate for the initial power deviation. Therefore, it is necessary to further determine the power compensation conditions for the energy storage module based on the relationship between the energy storage discharge power and the rated power of the energy storage module, as well as the relationship between the energy storage discharge power and the initial power deviation. Based on these power compensation conditions, the energy control parameters for the energy storage module and / or the power grid can then be determined.

[0144] In this embodiment, power is supplied preferentially through energy storage components, making full use of the energy storage components' power capacity, which can reduce the amount of electricity obtained from the grid and reduce economic consumption.

[0145] In some embodiments, when determining the power replenishment condition, if the energy storage discharge power is less than the first power deviation and the energy storage discharge power is less than the rated power of the energy storage module, the power replenishment condition is a condition where the energy storage is insufficient and the rated power of the energy storage module has not been reached. When the energy storage discharge power is equal to the first power deviation and the energy storage discharge power is less than or equal to the rated power of the energy storage module, the power replenishment condition is the energy storage sufficient condition. When the energy storage discharge power is less than the first power deviation and the energy storage discharge power is equal to the rated power of the energy storage module, the power supplementation condition is the condition where the energy storage is insufficient but reaches the rated power of the energy storage module.

[0146] It is understandable that the relationship between the energy storage discharge power and the first power deviation can characterize whether the energy replenished by the energy storage meets the energy gap. For example, an energy storage discharge power less than the first power deviation indicates insufficient energy storage. An energy storage discharge power greater than or equal to the first power deviation indicates sufficient energy storage.

[0147] The relationship between the energy storage discharge power and the rated power of the energy storage module characterizes the hardware safety of the energy storage module when discharging at that power. For example, if the energy storage discharge power is less than the rated power of the energy storage module, then the energy storage module can discharge at that power. If the energy storage discharge power is equal to the rated power of the energy storage module, then the maximum discharge power of the energy storage module is the rated power.

[0148] The aforementioned two magnitude relationships can constitute three power replenishment conditions. For example, when the energy storage discharge power is less than the first power deviation and less than the rated power of the energy storage module, the power replenishment condition is one where energy storage is insufficient and the rated power of the energy storage module has not been reached. Since the rated power of the energy storage module has not been reached, subsequent energy replenishment for hydrogen production can be achieved through the energy storage module. Since the energy that the energy storage module can currently replenish has already been released at the energy storage discharge power, subsequent charging of the energy storage module can be achieved under low grid electricity prices to replenish energy for the hydrogen production facility.

[0149] When the energy storage discharge power equals the first power deviation and is less than or equal to the rated power of the energy storage module, the power replenishment condition is the energy storage sufficient condition. This indicates that the hydrogen production unit can be supplied with electricity through the energy storage module without the need for grid intervention. Therefore, the energy control parameters determined at this time are the energy control parameters of the energy storage module.

[0150] When the energy storage discharge power is less than the first power deviation and equal to the rated power of the energy storage module, the power supplementation condition is characterized by insufficient energy storage reaching the rated power of the energy storage module. This means that the electricity provided by the energy storage module cannot meet the power requirements of the hydrogen production facility. Furthermore, since the energy storage discharge power equals the rated power of the energy storage module, which is already its maximum discharge power, the energy storage module cannot provide more electricity for the hydrogen production facility due to hardware safety considerations. To supplement the power gap, electricity can be purchased from the grid.

[0151] In this embodiment, based on the relationship between the energy storage discharge power and the rated power of the energy storage module, as well as the relationship between the energy storage discharge power and the first power deviation, the power replenishment condition of the energy storage module is determined. This clarifies whether the power replenished by the energy storage module eliminates the power shortage of the hydrogen production unit. Furthermore, considering the hardware safety of the energy storage module, the discharge power of the energy storage module is limited to the rated power.

[0152] In some embodiments, when the power replenishment condition is an energy storage sufficient condition, no grid participation is required. Therefore, the energy control parameters of the energy storage components can be determined based on the power replenishment condition.

[0153] For example, the first current charge level of the energy storage component is obtained; Based on the first current energy level of the energy storage module, the preset time period coefficient, and the energy storage discharge power, the second energy level of the energy storage module in the first time period is determined. The preset fourth value will be used as the remaining capacity of the third energy storage grid interaction; Based on the remaining capacity of the third energy storage grid interaction and the second electricity of the energy storage module in the first time period, the energy control parameters of the energy storage module are generated.

[0154] Understandably, the energy control parameters of the energy storage components include the second electricity consumption in the first time period and the remaining capacity of the third energy storage grid interaction.

[0155] The aforementioned first time period's energy level is preset, while the second energy level for the first time period is the remaining energy level of the energy storage component after it has participated in discharging during the first time period. This energy level can be used to determine the energy control parameters of the energy storage component for other time periods later than the first time period. In other words, if there is no preceding time period in the first time period, the energy level for the first time period is the preset value. If there is a preceding time period in the first time period, then the energy level for the first time period is the second energy level of the preceding time period.

[0156] When determining the second energy level for the first time period, the product of a preset time period coefficient and the energy storage discharge power can be used to determine the energy level released by the energy storage module in the first time period. Further, the energy deviation between the first current energy level and the energy level released by the energy storage module in the first time period is determined to obtain the second energy level of the energy storage module in the first time period.

[0157] For example, the fourth preset value can be 0, assigning the third energy storage grid interaction capacity a value of 0. The energy storage grid interaction capacity refers to the remaining electricity that the energy storage components can obtain from the grid during the first time period. If the third energy storage grid interaction capacity is 0, it indicates that no more electricity can be purchased from the grid. Assigning the third energy storage grid interaction capacity a preset fourth value is because after the energy storage components discharge to eliminate the power shortage, there is no power deficit in the first time period, and there is also no wind power surplus. This solves the problem of repeated calculations and logical conflicts caused by re-entering the power shortage purchase logic under abnormal circumstances. It can be understood that by setting the third energy storage grid interaction capacity to zero, even if an abnormality occurs causing a re-entry into the power shortage purchase logic, the limitation of the third energy storage grid interaction capacity being 0 will prevent the purchase of electricity from the grid.

[0158] For example, the first power deviation can also be set to 0 to indicate no power deviation, in which case the power shortage purchase logic will not be entered.

[0159] In some embodiments, when determining the energy control parameters of the energy storage component and / or the power grid according to the power supplementation condition, in the case where the power supplementation condition is an insufficient energy storage condition and the rated power of the energy storage component is not reached, the first grid discharge power is determined according to the deviation between the first power deviation and the energy storage discharge power. Obtain the first current charge level of the energy storage component; Based on the rated capacity and the first current capacity of the energy storage module, determine the spare capacity of the energy storage module in the first time period; Based on the first grid discharge power and the spare capacity of the energy storage components during the first time period, the energy control parameters of the energy storage components and the energy control parameters of the grid are determined.

[0160] The condition of insufficient energy storage and failure to reach the rated power of the energy storage module indicates that, when the energy storage module is sufficient, electrical energy can be obtained again from the energy storage module to power the hydrogen production module.

[0161] For example, the power to charge the energy storage component from the grid is first determined.

[0162] For example, the deviation between the first power deviation and the energy storage discharge power is determined as the first grid discharge power. Unlike other grid discharge powers, the first grid discharge power refers to the power discharged from the grid to the energy storage component, while other grid discharge powers refer to the power charged from the grid to the hydrogen production facility.

[0163] Furthermore, in order to ensure the hardware security of the energy storage components, the maximum chargeable power of the energy storage components during the first time period can be determined.

[0164] For example, the rated capacity of the energy storage component and the capacity deviation of the first current capacity are first determined to obtain the maximum rechargeable capacity of the energy storage component in the first time period. The result of dividing the maximum rechargeable capacity in the first time period by a preset time period coefficient is determined as the spare capacity of the energy storage component in the first time period. This spare capacity represents the maximum rechargeable power of the energy storage component in the first time period.

[0165] In this embodiment, considering the relationship between the rated power of the energy storage component and the first current power, the maximum rechargeable power of the energy storage component in the first time period is determined. Then, based on the maximum rechargeable power, the energy control parameters of the energy storage component and the energy control parameters of the power grid are determined. This ensures that the energy storage component can be charged while maintaining hardware safety, thereby facilitating the subsequent power supply of the energy storage component to the hydrogen production unit.

[0166] In some embodiments, when determining the energy control parameters of the energy storage module and the energy control parameters of the grid based on the first grid discharge power and the spare capacity of the energy storage module in the first time period, the energy storage chargeable power can be determined based on the rated power of the energy storage module and the energy storage discharge power. The charging power of the energy storage module in the first time period is determined based on the smaller of the first power deviation, the spare capacity of the energy storage module in the first time period, the first grid discharge power, and the energy storage rechargeable power. The second energy storage grid interaction capacity balance is obtained based on the charging power of the energy storage components during the first time period and the first energy storage grid interaction capacity balance. Based on the remaining capacity of the second energy storage grid interaction, determine the energy control parameters of the energy storage components and the energy control parameters of the grid.

[0167] Energy storage rechargeable power refers to the maximum power that can be drawn from the grid for use by the energy storage module. If more power is drawn from the grid than this maximum, it will damage the energy storage module. Therefore, this energy storage rechargeable power can be used as one of the limiting conditions for determining the charging power of the energy storage module in the first time period.

[0168] Furthermore, when determining the charging power of the energy storage module in the first time period, the smaller of the first power deviation, the spare capacity of the energy storage module in the first time period, the first grid discharge power, and the energy storage rechargeable power can be used as the charging power of the energy storage module in the first time period.

[0169] The first power deviation is used to determine the amount of electricity required by the hydrogen production unit, the spare capacity of the energy storage component in the first time period is used to prevent overcharging, and the first grid discharge power is used to constrain the charging power from the grid to be less than the agreed-upon rechargeable amount.

[0170] Furthermore, since there is a power limit on the grid charging the energy storage components within a certain time period, to facilitate subsequent charging of the energy storage components from the grid within the same time period, it is necessary to determine whether there is still a power balance for charging the energy storage components from the grid, thereby determining the energy control parameters of the grid and the energy control parameters of the energy storage components in other time periods later than the first time period. Therefore, a first energy storage grid interaction capacity balance can be obtained first, which can dynamically change within each first time period. For example, if the first energy storage grid interaction capacity balance is obtained without updating or processing, then the first energy storage grid interaction capacity balance is the initially preset energy storage grid interaction capacity balance.

[0171] The initial value of the first energy storage grid interaction capacity balance is a preset value, which can be, for example, 10 kWh, etc., and this application embodiment does not limit this. In the case of charging the energy storage component from the grid for the first time outside the first time period, it is necessary to first determine whether the first energy storage grid interaction capacity balance is 0. If it is 0, it means that no more power can be obtained from the grid to charge the energy storage component.

[0172] In other words, if the energy storage component obtains electricity from the grid in the first time period, the remaining balance of the first energy storage grid interaction capacity is determined by the remaining balance of the energy storage grid interaction capacity in the previous time period and the electricity obtained from the grid.

[0173] In the current first time period, since electricity is drawn from the grid to supply the energy storage components, the power deviation between the first energy storage grid interaction capacity balance and the charging power of the energy storage components during the first time period is determined as the second energy storage grid interaction capacity balance. Subsequently, based on the second energy storage grid interaction capacity balance, the energy control parameters of the grid and the energy control parameters of the energy storage components for other time periods later than the first time period can be determined.

[0174] It is understandable that the energy control parameters of the energy storage component may include the charging power of the energy storage component in the first time period and the remaining capacity of the second energy storage grid interaction.

[0175] In this embodiment, the first power deviation, the spare capacity of the energy storage module in the first time period, the first grid discharge power, and the rechargeable power of the energy storage module are used as charging constraints for the energy storage module. When the energy storage module is charged based on the charging power determined by the constraints, the safety of the energy storage module can be guaranteed.

[0176] In some embodiments, when determining the energy control parameters of the energy storage module and the energy control parameters of the grid based on the second energy storage grid interaction capacity balance, if the second energy storage grid interaction capacity balance is greater than a preset first value, the first energy level of the energy storage module in the first time period is determined based on the charging power of the energy storage module in the first time period, the first current energy level of the energy storage module, and the additional injected energy level. The first charge of the energy storage component in the first time period is used as the energy control parameter of the energy storage component; The second grid discharge power is obtained based on the deviation between the first power deviation and the rechargeable power of the energy storage. When the discharge power of the second power grid is less than the preset third value, the energy control parameters of the power grid are determined according to the discharge power of the second power grid and the preset power grid power extraction strategy. When the remaining capacity of the second energy storage grid is equal to the preset first value, the discharge power of the third grid is determined according to the preset second value and used as the energy control parameter of the grid.

[0177] The first preset value is 0. The second energy storage grid interaction capacity balance is greater than the first preset value, indicating that during the first time period, it is still possible to obtain electricity from the grid to charge the energy storage component. Thus, the first electricity of the energy storage component in the first time period can be determined. The first electricity of the first time period represents the remaining electricity of the energy storage component after receiving the electricity from the grid attack in the first time period.

[0178] When determining the first energy level in the first time period, the product of the charging power and the preset time period coefficient within the first time period can be determined to determine the energy level charged into the energy storage module within the first time period. Then, the sum of the energy level charged into the energy storage module within the first time period, the first current energy level of the energy storage module, and the additional injected energy level is determined as the first energy level of the energy storage module in the first time period, thus obtaining the energy control parameters of the energy storage module. The additional injected energy level can be used to provide energy to other power components.

[0179] Further investigation is needed to determine whether there is still a power shortage after the energy storage components are charged and provide power to the hydrogen production facility.

[0180] For example, the deviation between the first power deviation and the rechargeable power of the energy storage can be used as the second grid discharge power. The preset third value is 0. If the second grid discharge power is less than the preset third value, it indicates that there is still a power shortage, and power needs to be directly drawn from the grid. Specifically, the energy control parameters of the grid can be determined based on the second grid discharge power and the preset grid power drawing strategy.

[0181] For example, if the second value is preset to 0, and the remaining capacity of the second energy storage grid is equal to the preset first value, it indicates that there is no power shortage. Then, the discharge power of the third grid is determined to be 0, which is used as the energy control parameter of the grid.

[0182] In this embodiment of the application, after the energy storage component is charged, the energy storage component can provide electrical energy to the hydrogen production component. Then, it is further determined whether there is still a power shortage, so as to ensure that the final energy control parameters meet the predetermined parameters for hydrogen production.

[0183] In some embodiments, determining the energy control parameters of the energy storage components and the energy control parameters of the power grid based on the remaining capacity of the second energy storage grid interaction includes: Based on the electricity price charging strategy and the remaining capacity of the second energy storage grid interaction, the energy control parameters of the energy storage components and the energy control parameters of the grid are determined.

[0184] The electricity price charging strategy can predict the forecast electricity price for each first time period, sort the forecast electricity prices for each first time period in ascending order, and charge the energy storage components from the grid when the forecast electricity price is the lowest. The grid's discharge power is the charging power of the energy storage components in the first time period.

[0185] During charging, the first time period corresponding to a power condition that is not considered a power shortage can be identified. Charging the energy storage components during this first time period can improve charging efficiency. This is because during periods not falling under this first time period, control according to energy control parameters is required, consuming significant computing resources. To ensure real-time control, other operations besides control are reduced during this control phase.

[0186] Figure 6 This is a schematic diagram of an electricity price charging strategy provided in an embodiment of this application, such as... Figure 6 As shown, it includes steps S601 to S611.

[0187] S601, t=1 or the current time does not belong to the set of missing points.

[0188] It should be noted that the aforementioned current time period can be time period t-1, the first time period can be time period t, and the time interval between t-1 and t can be 15 minutes, equal to the duration of the first time period. When determining energy control parameters, steps S110 to S120 can be executed cyclically to determine the energy control parameters for each first time period until a preset number of energy control parameters for each first time period are determined. The preset number can be set as needed; for example, it can be set to 96, which means determining the energy control parameters for one day at 15-minute intervals.

[0189] At t=1, the energy control parameters are determined for the first time. In order to complete the initialization of the full window electricity price information, a time-of-use electricity price priority sequence is constructed. The binding mapping relationship between the predicted electricity price of each time period and the first power deviation of the corresponding supply and demand conditions is established in advance. The low price range is quickly identified, and the globality and decision response efficiency of the energy storage arbitrage plan are improved. The subsequent S602~S611 can be executed at t=1.

[0190] Similarly, the set of shortage points refers to the set of the first period when there is a power shortage. If it does not belong to the set of shortage points, the subsequent S602~S611 are executed in order to make full use of the operating window period when there is no power supply pressure, so that the power can be stored in the energy storage component during the period when the electricity price is lower. Then, the power stored during the low-price period can be used to supply the hydrogen production unit in the subsequent high-price period, thereby reducing the cost of purchasing electricity from the grid.

[0191] S602, Predicted electricity price P1_t.

[0192] For example, electricity prices can be predicted by training a machine learning model to obtain the predicted electricity prices for each first time period. Other methods can also be used for electricity price prediction, and this application embodiment does not limit this.

[0193] S604, Electricity Price Sorting.

[0194] For example, the predicted electricity prices for each first time period can be sorted in ascending order so that the energy storage components can be charged subsequently based on times with low electricity prices.

[0195] S605, the relationship between the predicted electricity price and the first power deviation.

[0196] By establishing a binding relationship, when charging energy storage components during periods of low electricity prices, the upper limit of the charging power is clearly defined as the first power deviation.

[0197] S606, Energy storage rechargeable power = Rated power of energy storage module - Energy storage discharge power, The amount of electricity charged into the energy storage module in the first time period = Energy storage rechargeable power * Preset time period coefficient.

[0198] S607, the charging power of the energy storage component in the first time period = min (first power deviation, spare capacity of the energy storage component in the first time period, first grid discharge power, and energy storage rechargeable power).

[0199] S608, the balance of the second energy storage grid interaction capacity = the balance of the first energy storage grid interaction capacity - the charging power of the energy storage components in the first time period.

[0200] S609, the energy storage component's capacity in the first time period = the energy storage component's capacity charged during the first time period + the energy storage component's first current capacity + additional injected capacity.

[0201] S610, Updated First Power Deviation = First Power Deviation - Charging Power of Energy Storage Component in the First Time Period.

[0202] Since power deviation may still exist after charging, the first power deviation can be updated first, so as to determine whether S604~S611 needs to be re-executed based on the updated first power deviation.

[0203] S611, fill quantity satisfied judgment.

[0204] If the updated first power deviation is less than or equal to 0, it indicates that the battery is fully charged and there is no need to continue charging the energy storage components from the grid.

[0205] If the updated first power deviation is greater than 0, it indicates that charging of the energy storage components from the grid needs to continue. If the second energy storage grid interaction capacity balance is greater than 0, it indicates that there is a remaining capacity for charging the energy storage components from the grid, and S604~S611 can be re-executed. If the second energy storage grid interaction capacity balance is less than or 0, the step of charging the hydrogen production unit directly from the grid can be executed.

[0206] In some embodiments, when the power replenishment condition is one where energy storage is insufficient and reaches the rated power of the energy storage components, it indicates that electricity needs to be purchased from the grid to power the hydrogen production components. Therefore, the energy control parameters of the grid can be determined based on the power replenishment condition.

[0207] For example, the fourth grid discharge power is obtained based on the deviation between the first power deviation and the energy storage discharge power; Based on the preset power grid extraction strategy and the discharge power of the fourth power grid, the energy control parameters of the power grid are determined.

[0208] The deviation between the first power deviation and the energy storage discharge power is the power purchased from the grid, which is also the fourth grid discharge power. It should be noted that the first power deviation is negative. Therefore, when determining the fourth grid discharge power, the absolute value of the first power deviation and the deviation between the energy storage discharge power are used as the fourth grid discharge power.

[0209] The preset power grid extraction strategy can be set as needed, and this application embodiment does not impose any restrictions on it.

[0210] It is understandable that the fourth grid discharge power is the initially determined grid discharge power, but since there is still a power limit for grid outflow, the final grid energy control parameters can be further clarified based on the preset grid power extraction strategy.

[0211] In this embodiment, when the energy storage module is under-powered, electricity is purchased from the grid to make up for the power gap that the energy storage module cannot cover, thus ensuring continuous hydrogen production.

[0212] In some embodiments, the preset grid power extraction strategy includes: The grid discharge power was determined as the first candidate power to be discharged from the grid. The second candidate power for grid disconnection is determined based on the smaller of the first current remaining power and the preset power threshold for grid disconnection; the first current remaining power represents the power threshold at which power can be taken from the grid at present. The power to be removed from the network in the first time period is determined based on the smaller value between the first candidate power and the second candidate power. The alarm grid disconnection deviation is determined based on the first power deviation, the energy storage discharge power of the energy storage module, and the grid disconnection power. If the alarm drop-off deviation is greater than the preset fifth value, an alarm will be triggered based on the alarm drop-off deviation. The remaining power to be disconnected from the grid in the first time period is determined based on the power disconnection, the preset time period coefficient, and the remaining power disconnection in the first current time period.

[0213] The grid discharge power that can be selected as the first candidate power to be discharged from the grid can be the second grid discharge power and the fourth grid discharge power mentioned above. Since the grid discharge power may be negative, the absolute value of the grid discharge power can be used when determining the first candidate power to be discharged from the grid.

[0214] The first current remaining grid-connected power capacity represents the remaining grid-connected power capacity available for the current time period. It should be noted that there is a threshold for the amount of power that can be withdrawn from the grid for each time period. The first current remaining grid-connected power capacity represents the threshold for the amount of power that can be withdrawn from the grid at this time. For example, if the current time period is from 3:15 to 3:30, and x1 units of power have already been withdrawn from the grid at 3:20, and the threshold for withdrawn power during this time period is 30kW, then the first current remaining grid-connected power capacity is 30 - x1.

[0215] Furthermore, since the first current remaining power is the power within a time period, it can also be equivalent to the power within that time period. Therefore, when determining the second candidate power, the smaller value between the first current remaining power and the preset power threshold can be used as the second candidate power.

[0216] Finally, the smaller value between the first candidate grid-connected power and the second candidate grid-connected power is determined as the grid-connected power for the first time period, thus obtaining a power grid energy control parameter.

[0217] It can also be further determined whether the electricity purchased from the grid can meet the power demand of the hydrogen production facility.

[0218] For example, the sum of the energy storage discharge power of the energy storage component and the grid-connected power can be determined to obtain the comprehensive supplementary power. The deviation between the first power deviation and the comprehensive supplementary power can be determined to obtain the alarm grid-connected deviation.

[0219] If the fifth value is preset to 0, then if the alarm grid disconnection deviation is greater than 0, it indicates that the electricity demand of the hydrogen production unit cannot be met even after purchasing electricity from the grid. In this case, an alarm needs to be triggered and the alarm grid disconnection deviation will be displayed.

[0220] To facilitate the subsequent determination of the power output for other time periods later than the first time period, the remaining power output for the first time period can be determined.

[0221] For example, the product of the power discharged from the grid in the first time period and the preset time period coefficient can be determined to obtain the amount of electricity discharged from the grid in the first time period. The difference between the first current remaining amount of electricity discharged from the grid and the amount of electricity discharged from the grid in the first time period can be determined to obtain the remaining amount of electricity discharged from the grid in the first time period.

[0222] Understandably, the power grid's energy control parameters include the power output to be disconnected from the grid during the first period, the grid disconnection deviation during the alarm period, and the remaining power output to be disconnected from the grid during the first period.

[0223] In this embodiment of the application, when determining the power to be discharged from the grid, a preset power threshold for being discharged from the grid, the remaining amount of electricity to be discharged from the grid and the power discharge power of the grid are considered to ensure that the determined power to be discharged from the grid meets the grid safety constraints.

[0224] Figure 7 This application provides a schematic diagram of a process for determining energy control parameters based on power supplementation conditions, as illustrated in the embodiments of this application. Figure 7 As shown, it includes steps S701 to S711.

[0225] S701, Energy Storage Support Judgment.

[0226] For example, the power replenishment condition of the energy storage module can be determined based on the relationship between the energy storage discharge power and the rated power of the energy storage module, as well as the relationship between the energy storage discharge power and the first power deviation.

[0227] The first power replenishment condition is when energy storage is insufficient and has not reached the rated power of the energy storage components; the second power replenishment condition is when energy storage is sufficient; and the third power replenishment condition is when energy storage is insufficient but has reached the rated power of the energy storage components.

[0228] When the first power supply condition is being replenished, S702~S703 are executed; when the second power supply condition is being replenished, S704~S705 are executed; and when the third power supply condition is being replenished, S706~S710 are executed.

[0229] S702, First grid discharge power = |First power deviation| - Energy storage discharge power.

[0230] S703, Energy Storage Charging Detection.

[0231] The energy storage charging determination is specifically described in S601~S611 above, and will not be repeated here in the embodiments of this application.

[0232] S704, grid discharge power = 0.

[0233] At this time, the energy storage components have sufficient power and do not require grid power; therefore, the grid discharge power is 0.

[0234] S705, the second energy level in the first time period = the first current energy level - the preset time period coefficient * energy storage discharge power.

[0235] S706, Fourth grid discharge power = |First power deviation| - Energy storage discharge power.

[0236] It is understandable that the discharge power of the fourth grid can be the same as that of the first grid. The discharge power of the fourth grid can be used as the first candidate power to be discharged from the grid.

[0237] S707, Second candidate power to be removed from the network = min (Remaining power of the first current power to be removed from the network, preset power threshold for removal from the network).

[0238] S708, the power to be taken offline in the first time period = min(first candidate power to be taken offline, second candidate power to be taken offline).

[0239] S709, the remaining power after disconnection in the first time period = the remaining power after disconnection in the first current time period - the power after disconnection in the first time period * the preset time period coefficient.

[0240] S710, alarm grid disconnection deviation = first power deviation - (energy storage discharge power + grid disconnection power in the first period).

[0241] S711, power outage warning.

[0242] It should be noted that the aforementioned process can be repeated until the energy control parameters of all energy storage components and / or grid components included in the fourth time period are determined. The specific cyclical process will not be described in detail here.

[0243] In some embodiments, when executing S130, a third predicted power set for a subsequent second time period of the wind turbine is obtained. The second time period includes multiple first time periods, and the third predicted power set includes a fourth predicted power corresponding to each first time period. The fourth predicted power is the predicted power of the wind turbine in the corresponding first time period. At each first time interval, the current hydrogen production power of the hydrogen production facility is obtained. Based on the fourth predicted power corresponding to the current first time interval and the current hydrogen production power, the energy matching status between the current production energy demand and energy control parameters of the hydrogen production facility is monitored.

[0244] The fourth time period may include multiple second time periods; for example, a second time period may be 4 hours.

[0245] It is understandable that when implementing energy control parameters for multiple energy storage components and / or grid components from the first time period within the fourth time period, intraday rolling adjustments can be made according to the second time period. During the rolling adjustment, a third predicted power set for wind turbines predicted in the second time period can be obtained, which includes multiple fourth predicted powers belonging to each of the first time periods within the second time period.

[0246] For example, if the second time period is from 2 PM to 6 PM, then the third predicted power set includes the fourth predicted power of wind turbines at 15-minute intervals from 2 PM to 6 PM. To clarify the energy matching status between the current hydrogen production demand and energy control parameters of the hydrogen production facility, the current hydrogen production power of the hydrogen production facility can also be obtained at each first time period. Then, it can be determined whether the power deviation between the fourth predicted power corresponding to the current first time period and the current hydrogen production power is consistent with or within a preset range of the energy control parameters that meet the predetermined hydrogen production parameters.

[0247] If yes, it indicates that the energy matching status is mismatched, no rolling correction is needed, and energy control continues according to the energy control parameters that meet the predetermined hydrogen production parameters as determined above. If no, the energy matching status is mismatched, and S140 can be executed.

[0248] In this embodiment of the application, by monitoring the energy matching status according to the second time period and further determining whether to perform energy control parameter correction operations, the accuracy of energy control can be improved so as to execute the hydrogen production task according to the hydrogen production unit's predetermined hydrogen parameters.

[0249] In some embodiments, when performing S140, a first dynamic control parameter for correcting the energy control parameter is generated based on the energy matching state and the fourth predicted power. Under the execution of the first dynamic control parameters, the second current power of the wind turbine and the hydrogen production unit is obtained every third time interval, the first time interval including multiple third time intervals; When the second current power of the wind turbine is less than the second current power of the hydrogen production unit, the second power deviation between the second current power of the wind turbine and the second current power of the hydrogen production unit is determined. Based on the second power deviation, a power supplementation parameter is determined. Based on the power supplementation parameter, at least one of the second dynamic control parameters of the wind turbine, the second dynamic control parameters of the energy storage module, and the second dynamic control parameters of the power grid is generated. If the second current power of the wind turbine is greater than or equal to the second current power of the hydrogen production unit, the third power deviation between the second current power of the hydrogen production unit and the second current power of the wind turbine is determined. Based on the third power deviation and the grid-connected power for the first time period in the uncorrected energy control parameters, the grid-connected power parameters of the energy storage components and the second grid-connected power parameters of the grid are determined. Based on the grid-connected power parameters, the third dynamic control parameters of the energy storage components are generated. Based on the second grid-connected power parameters of the grid, the third dynamic control parameters of the grid are generated.

[0250] When generating the first dynamic control parameter for correcting the energy control parameter, the process of generating the energy control parameter based on the first predicted power can be repeated based on the fourth predicted power. This will not be described again in the embodiments of this application.

[0251] When generating the second dynamic control parameter, the time interval can be the duration of the third time period. For example, the duration of the third time period can be 1 minute.

[0252] For example, if the second current power of the wind turbine is less than the second current power of the hydrogen production unit, indicating a power shortage, the power deficit can be determined, i.e., the second power deviation between the second current power of the wind turbine and the second current power of the hydrogen production unit. Based on this second power deviation, power supplementation parameters are determined. These parameters may include the electrical energy required to be released by the grid and the energy storage components, the discharge power, etc., thereby obtaining at least one of the second dynamic control parameters of the wind turbine, the second dynamic control parameters of the energy storage components, and the second dynamic control parameters of the grid.

[0253] When the second current power of the wind turbine is greater than or equal to the second current power of the hydrogen production unit, it indicates that there is a power surplus. The third power deviation between the second current power of the hydrogen production unit and the second current power of the wind turbine can be determined, and this third power deviation indicates the amount of power surplus.

[0254] When generating the second grid-connected power parameters, in order to meet the predetermined hydrogen production parameters, the grid-connected power of the first time period can be determined from the uncorrected energy control parameters, which are the grid-connected power of the first time period. The grid-connected power parameters of the energy storage components and the second grid-connected power parameters of the grid are then determined. The power constituted by the grid-connected power parameters of the energy storage components and the second grid-connected power parameters of the grid is the grid-connected power of the first time period.

[0255] The reason why the energy storage module has a grid-connected power parameter is that the current third power deviation may be less than the grid connection of the first period. In order to connect to the grid with the grid connection power of the first period to comply with the plan, a portion of the power can be obtained from the energy storage module as the power to be connected to the grid together with the third power deviation in the future.

[0256] Ultimately, the third dynamic control parameter of the generated energy storage component may include the outgoing power parameter, and the third dynamic control parameter of the generated power grid may include the second on-grid power parameter.

[0257] Figure 8 A first flowchart for generating dynamic control parameters is provided in the embodiments of this application, such as... Figure 8 As shown, it includes S901 to S914.

[0258] S901, Power Shortage Assessment.

[0259] By comparing the second current power of the wind turbine with the second current power of the hydrogen production unit, it is determined whether there is a power shortage. If yes, then execute S902~S907; otherwise, execute S908~S914.

[0260] S902, determine the second power deviation.

[0261] Second power deviation = Second current power of hydrogen production unit - Second current power of wind turbine.

[0262] S903, can energy storage discharge eliminate the power shortage?

[0263] For example, constraint parameters such as the current remaining power of the energy storage component can be determined, and it can be determined whether the power that the energy storage component can release is greater than or equal to the power shortage. If so, it indicates that the power shortage can be eliminated, and S904 can be executed. If not, S905 is executed.

[0264] S904 determines the current remaining power of the energy storage.

[0265] The amount of electricity used by the energy storage component to supplement the power gap can be removed to obtain the current remaining amount of electricity in the energy storage component, so that S903 can be executed in subsequent third time periods.

[0266] S905, confirm the parameters for online electricity purchase.

[0267] For example, the power replenished by energy storage can be removed from the second power deviation to obtain the power purchased from the grid. Combined with the preset time period parameters of the third time period, the amount of electricity purchased from the grid can be determined. It should be noted that due to constraints such as the maximum power threshold for grid purchase, the power purchased from the grid may not be the final power purchased from the grid in the third time period.

[0268] S906, determine whether purchasing electricity from the grid can eliminate the remaining power shortage.

[0269] The remaining power gap is the remaining electricity and power after the power gap has been eliminated by energy storage components.

[0270] Because the power replenished by energy storage is removed from the second power deviation, the resulting power purchased from the grid may not be the same as the power purchased from the grid in the final third time period. Therefore, there may be a power shortage. S906 can be used to further determine whether a grid disconnection alarm is needed.

[0271] If the power supplied to the grid in the final third time period is greater than or equal to the power purchased from the grid, it indicates that the power purchase from the grid has eliminated the remaining power gap, and no further steps are required. Otherwise, it indicates that the power purchase from the grid has failed to eliminate the remaining power gap, and step S907 must be executed.

[0272] S907, offline alarm.

[0273] For example, the current grid disconnection alarm power can be determined and an alarm can be triggered by the grid disconnection power purchased from the grid and the grid disconnection power in the final third time period.

[0274] S908, determine the third power deviation.

[0275] The third power deviation = the second current power of the wind turbine generator - the second current power of the hydrogen production unit. This third deviation power can also be understood as surplus power.

[0276] S909, check online.

[0277] Since there is surplus power, in order to improve economic efficiency, the surplus power can be given priority to be connected to the grid. If there is still surplus power after it is connected to the grid, it can be stored in energy storage components. If there is still surplus power after the surplus power is stored in the energy storage components, the surplus power is the abandoned power, and the amount of abandoned power can be determined based on the abandoned power.

[0278] When determining whether a device can connect to the grid, parameters such as the maximum grid-connected power of the unit at the rated boundary of the equipment and the current grid-connected command of the Automatic Generation Control (AGC) can be used to determine whether the third power deviation can be used for grid connection. If yes, then S913~S914 can be executed. If not, then S910~S912 can be executed.

[0279] For example, when determining internet access, the remaining power corresponding to the second current remaining power is first determined based on the remaining power available for internet access in the previous third time period and the preset time period coefficient for the third time period. The maximum upper limit of the energy storage's internet access output power is then determined based on the smaller of the preset internet access power threshold, the remaining power corresponding to the second current remaining power, the upper limit of the energy storage plan's internet access power in the first dynamic control parameters, and the current internet access command from the AGC. The remaining power available for internet access in the previous third time period and the first current remaining power are similar concepts and will not be elaborated further here. When the third time period is 1 minute, the preset time period coefficient for the third time period is 1 / 60.

[0280] When the maximum grid-connected output power of energy storage is less than or equal to the surplus power, it indicates that grid connection is permitted.

[0281] When the maximum grid-connected output power of the energy storage exceeds the surplus power, it indicates that it is difficult to connect to the grid. In this case, some electrical energy can be obtained from the energy storage components for grid connection, which can be implemented in S910~S912.

[0282] S910 determines the grid-connected power parameters of the energy storage components and the grid-connected power parameters of the second time period based on the third power deviation and the grid-connected power of the first time period.

[0283] For example, the power deviation between the maximum grid-connected output power of the energy storage and the third power deviation can be determined to obtain the energy storage support power.

[0284] Further determine whether the remaining power of the energy storage component at the third moment is less than the preset safe power. The preset safe power can be determined based on the safety factor and the rated power of the energy storage component. The safety factor can be set as needed, for example, it can be set to 60%.

[0285] If the remaining charge of the energy storage module at the third time point is greater than or equal to the preset safe charge, the charge deviation between the remaining charge of the energy storage module at the third time point and the preset safe charge can be determined first. Based on this charge deviation and the preset time period coefficient for the third time period, the usable energy storage power can be determined. Furthermore, the power deviation between the rated power of the energy storage module and the energy storage discharge power in the third time period can be determined to obtain the remaining energy storage power.

[0286] The energy storage discharge power of the energy storage module in the third period can be the smaller value among the grid-connected power, energy storage support power, energy storage available power and energy storage remaining power in the first period.

[0287] The grid-connected power parameters of the energy storage module may include the energy storage discharge power of the energy storage module in the third time period, and may also include the updated remaining power in the third time period and the second currently connected remaining power. For example, the updated remaining power in the third time period may be determined by the power deviation between the remaining power in the third time period and the power after discharging the energy storage at the third time period's discharge power for the duration of the third time period.

[0288] If the remaining power of the energy storage component is less than the preset safe power at the third time, the energy storage component will not provide power for grid connection, and the energy storage discharge power of the energy storage component in the third time period will be 0.

[0289] At this point, the second on-grid power parameter of the power grid is the third deviation power.

[0290] S911 generates the third dynamic control parameters for the energy storage module based on the outgoing power parameters.

[0291] The power output parameters can be used as the third dynamic control parameter for energy storage components.

[0292] S912 generates the third dynamic control parameters of the power grid based on the second grid-connected power parameters.

[0293] The second grid-connected power parameter can be used as the third dynamic control parameter of the power grid.

[0294] S913 determines the third on-grid power parameter of the power grid.

[0295] The third grid connection power parameter is the parameter used for grid connection in the third power deviation, which is the upper limit of the maximum grid connection output power of energy storage.

[0296] S914 generates the fourth dynamic control parameter of the power grid based on the third grid-connected power parameter.

[0297] The fourth dynamic control parameter may include the third internet access power parameter, and may also include the remaining internet access power for the current third time period.

[0298] For example, the amount of electricity generated during the duration of the third time period when the third grid power parameter is used can be determined, that is, the product of the maximum grid output power limit of the energy storage and the preset time period coefficient of the third time period is determined, and the electricity generated during the duration of the third time period when the third grid power parameter is used can be used as the amount of electricity generated during the duration of the third time period when the third grid power parameter is used.

[0299] The difference between the remaining power consumption during the previous third time period and the power consumption generated during the duration of the third time period with the third power consumption parameters is determined as the remaining power consumption during the current third time period.

[0300] Figure 9 A second flowchart for generating dynamic control parameters is provided in the embodiments of this application, such as... Figure 9 As shown, it includes S801~S818.

[0301] The following steps can be performed during the process of determining power shortages, discharging energy storage, and issuing grid disconnection alarms: S801, Power Shortage Assessment.

[0302] If there is a power shortage, execute S802; otherwise, execute S803~S807.

[0303] S802, Second power deviation = Second current power of hydrogen production mechanism - Second current power of wind turbine.

[0304] S803, third power deviation = 0.

[0305] S804, the third current offline power = 0.

[0306] S805, the remaining power of the third current offline period = the remaining power of the second current offline period - the current offline power * the preset time period coefficient of the third time period.

[0307] The current network disconnection power can be any one of the first current network disconnection power, the second current network disconnection power, and the third current network disconnection power.

[0308] S806, Second surplus power = Second current power of wind turbine generator - Second current power of hydrogen production unit.

[0309] It is understandable that the second surplus power is the aforementioned Figure 8 The third power deviation in the data.

[0310] S807, check online.

[0311] The specific process has been described above and will not be repeated here.

[0312] S808, determines energy storage discharge.

[0313] If it is determined that the energy storage component can discharge, then execute S809; if the energy storage component cannot discharge, then execute S810~S812.

[0314] For example, if the amount of electricity obtained during the third period of operation with the second power deviation is greater than or equal to the remaining electricity of the energy storage module at the third time, then the energy storage module is characterized as not being able to discharge. If the amount of electricity obtained during the third period of operation with the second power deviation is less than the remaining electricity of the energy storage module at the third time, then the energy storage module is characterized as being able to discharge.

[0315] S809, Fourth power deviation = (Electricity obtained from the duration of the third period of the second power deviation operation - Initial current electricity of the energy storage component) / Preset period coefficient of the third period.

[0316] S810, fourth current offline remaining battery power = 0.

[0317] S811, the second grid-connected power of the energy storage module equals the third power deviation.

[0318] S812, the second current energy level of the energy storage module = the energy level of the energy storage module in the previous period - the first grid-connected power of the energy storage module * the preset period coefficient of the third period.

[0319] S813, First Current Offline Power = min(First Current Offline Remaining Power) / Offline Power Settlement Coefficient, Preset Offline Power Threshold).

[0320] The settlement coefficient for offline electricity consumption can be 0.5, etc., and can be determined according to the settlement duration of offline electricity consumption. For example, if the settlement duration of offline electricity consumption is 30 minutes, then the settlement coefficient for offline electricity consumption is 0.5.

[0321] S814, Power off warning.

[0322] For example, it can be determined whether a power outage warning is needed by judging the magnitude of the first current power outage power deviation from the fourth power deviation. If the first current power outage power is less than the fourth power deviation, a power outage warning is needed, and S817, S805~S807 are executed.

[0323] If the first current grid disconnection power is greater than or equal to the fourth power deviation, then no grid disconnection power warning is required, and steps S815, S816, S812, S818, and S807 are executed.

[0324] S815, Second Current Power Offline = Fourth Power Deviation.

[0325] S816, the first grid connection power of the energy storage module = the energy storage module's power in the previous third time period / the preset time period coefficient of the third time period).

[0326] S817, Current alarm power removed from network = Fourth power deviation - First current power removed from network.

[0327] S818, first surplus power = 0.

[0328] In this embodiment, multiple time levels are combined to dynamically correct energy control parameters, ensuring the accuracy of energy control parameters and improving energy control precision.

[0329] Figure 10 This is an interactive schematic diagram of an energy control system provided in an embodiment of this application, such as... Figure 10 As shown.

[0330] The energy control system can be further divided into an integrated scheduling module 1101, a fourth time period energy control parameter determination module 1102, a current energy control module 1103, and an energy metering module 1104. The fourth time period energy control parameter determination module 1102, the current energy control module 1103, and the energy metering module 1104 can constitute a multi-time scale subunit 1106 on the plant side.

[0331] The power grid 1105 can send power grid security constraints to the integrated dispatch module 1101 to ensure the stability of the power grid frequency and voltage during the process of the energy control system controlling the integrated dispatch module 1101, the fourth-period energy control parameter determination module 1102, the current energy control module 1103, and the electricity metering module 1104 through energy control parameters. The power grid 1105 can also receive uplink feedback from the energy control system, such as reported operation plans, flexible adjustable margins, and real-time operating conditions, to achieve a two-way interactive closed loop with the power grid dispatch.

[0332] The integrated scheduling module 1101 can receive power grid security constraints sent by the power grid 1105, which, for example, may include power constraints and annual power dispatching volume, etc.

[0333] The integrated scheduling module 1101 can feed back to the power grid 1105 the uplink results such as the allowable power adjustment margin of the wind power hydrogen production platform. For example, the allowable power adjustment margin can be 20% of the total planned power, etc., which can be set as needed.

[0334] The integrated dispatching module 1101 can also send control information to the fourth-time period energy control parameter determination module 1102, the current energy control module 1103, and the electricity metering module 1104, transforming the power supply and power constraints on the power source and load sides into executable dispatching and control objectives at different time scales. It coordinates the operation of the energy control parameter determination module 1102, the current energy control module 1103, and the electricity metering module 1104 to ensure consistency of dispatching objectives at different time scales and reduce discrepancies between planning and execution. It can also provide feedback on the execution status of the energy control parameter determination module 1102, the current energy control module 1103, and the electricity metering module 1104 to achieve inner-layer closed-loop control, and report the overall control results to the power grid 1105, forming an outer-layer closed loop.

[0335] The fourth-period energy control parameter determination module 1102 can be used to generate energy control parameters for the fourth period based on the predicted power of the wind turbine in the fourth period, which includes multiple first periods, as the data source, and in conjunction with the hydrogen production unit's predetermined hydrogen production parameters in the first period, thereby maximizing hydrogen production output and meeting grid security constraints.

[0336] The current energy control module 1103 can be used to perform rolling corrections on the energy control parameters of the fourth period at a rate based on the ultra-short-term predicted power of the wind turbines in each of the first periods, with the second period as the period, and based on the updated second period including the ultra-short-term predicted power of each of the first periods. This reduces the impact of the deviation of the energy control parameters in the fourth period and improves the adaptability of the energy control parameters in the fourth period.

[0337] The current energy control module 1103 can also use the duration of the third time period as a cycle, taking advantage of the flexibility of the energy storage components, and quickly adjust the operating status of the hydrogen production components and energy storage components based on the current measurement data, so as to smooth real-time power fluctuations and ensure the power balance and safety of the wind power hydrogen production platform.

[0338] The power metering module 1104 can be used to collect, count, and store the interaction data and power data of each module, so as to perform constraint verification and evaluate the accuracy of energy control based on the power data, and at the same time provide feedback data for the integrated scheduling module 1101.

[0339] In this embodiment, a three-tiered architecture consisting of the power grid 1105, the integrated dispatch module 1101, and the multi-time-scale sub-units 1106 on the plant side enables coordinated scheduling and bidirectional closed-loop feedback throughout the entire process of planning and correction from fourth-time-period energy control to real-time energy control. This precisely regulates the electricity and power demands of the power source and hydrogen production facility, while ensuring the safety and stability of the wind power hydrogen production platform's control operation. Through internal and external dual-layer closed-loop control, the entire process from command to execution is controllable.

[0340] In this embodiment, under grid security constraints, the dynamic needs of both the hydrogen production facility and the grid are met through the coordinated operation of wind turbines, energy storage components, and hydrogen production facilities. Furthermore, the energy interaction between the wind turbines and the hydrogen production facility improves the energy and load operating benefits of the power plant, reduces wind curtailment, achieves efficient utilization of new energy sources, increases the proportion of self-consumption, reduces reliance on grid-side loads, ensures power supply reliability, meets grid assessment requirements, and reduces operation and maintenance costs through intelligent management, thereby minimizing manual intervention.

[0341] Based on the same inventive concept, this application also provides a wind power hydrogen production platform control device. The following is in conjunction with… Figure 11 The wind power hydrogen production platform control device 1100 provided in the embodiments of this application will be described.

[0342] The first predicted power determination module 1101 is used to determine the first predicted power of the wind turbine in the subsequent first time period; Planning module 1102 is used to determine the hydrogen production predetermined parameters of the hydrogen production unit in the first period and the energy control parameters that satisfy the hydrogen production predetermined parameters based on the first predicted power of the wind turbine in the first period. The monitoring module 1103 is used to monitor the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters during the process of controlling the hydrogen production unit to produce hydrogen according to the energy control parameters and the hydrogen production predetermined parameters. The dynamic adjustment module 1104 is used to generate dynamic control parameters for correcting the energy control parameters based on the energy matching state. The dynamic control parameters include control parameters of at least one of the wind turbine, energy storage component and power grid.

[0343] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to obtain the first current storable amount of the storage component for storing the hydrogen output by the hydrogen production mechanism and the first current power of the hydrogen production mechanism. The second predicted power of the hydrogen production unit in the first time period is determined based on the first predicted power of the wind turbine in the first time period and the first current power of the hydrogen production unit. Based on the preset hydrogen output, the rated storage space of the storage component, and the first current available storage capacity, the predicted hydrogen output of the storage component during the first time period is determined. Based on the predicted hydrogen output of the storage component in the first time period and the second predicted power, the predetermined parameters for hydrogen production of the hydrogen production unit in the first time period are determined.

[0344] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine the power adjustment variable of the hydrogen production mechanism in the first time period based on the rated power of the hydrogen production mechanism and the preset power adjustment coefficient; Based on the power adjustment variable and the first current power of the hydrogen production unit, a first power adjustment threshold and a second power adjustment threshold of the hydrogen production unit are determined in the first time period, wherein the first power adjustment threshold is less than the second power adjustment threshold; The second predicted power of the hydrogen production unit in the first period is determined based on the relationship between the first predicted power of the wind turbine in the first period and the first power adjustment threshold and the second power adjustment threshold.

[0345] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine the first power adjustment threshold as the second predicted power of the hydrogen production unit in the first period when the first predicted power of the wind turbine is less than the first power adjustment threshold. When the first predicted power is greater than the first power adjustment threshold and less than or equal to the first current power of the hydrogen production unit, the first current threshold power required for the hydrogen production unit to output the first current storable amount is determined based on the first current storable amount and a preset time period coefficient, wherein the preset time period coefficient is negatively correlated with the first current threshold power. The second predicted power is determined based on the smaller of the first current threshold power and the first predicted power; If the first predicted power is greater than or equal to the second power adjustment threshold, the second predicted power is determined based on the smaller of the first current threshold power and the second power adjustment threshold. If the first predicted power is greater than the first current power of the hydrogen production unit and less than the second power adjustment threshold, the first predicted power is determined as the second predicted power.

[0346] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine the predicted remaining amount of the storage component in the first time period based on the first current available storage amount, the second predicted power and the predicted hydrogen output of the storage component in the first time period. Based on the second predicted power, the predicted hydrogen output of the storage component in the first time period, and the predicted remaining storage capacity of the storage component in the first time period, the predetermined parameters for hydrogen production of the hydrogen production unit in the first time period are generated.

[0347] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine a first power deviation between the first predicted power of the wind turbine in the first time period and the second predicted power in the hydrogen production predetermined parameters, wherein the second predicted power is the predicted power of the hydrogen production mechanism in the first time period. Based on the first power deviation, the power operating condition of the hydrogen production unit is determined, and the power operating condition includes either power shortage or power surplus. Based on the power conditions, determine the energy control parameters of the energy storage components and / or the power grid.

[0348] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine the power of the energy storage component in the first time period when the power condition is insufficient. The energy storage discharge power of the energy storage component is determined based on the smaller of the energy storage component's charge during the first time period, the rated power of the energy storage component, and the first power deviation. Based on the relationship between the energy storage discharge power and the rated power of the energy storage module, and the relationship between the energy storage discharge power and the first power deviation, the power replenishment condition of the energy storage module is determined. The power replenishment condition includes one of the following: sufficient energy storage condition, insufficient energy storage and failure to reach the rated power of the energy storage module, and insufficient energy storage and reaching the rated power of the energy storage module. Based on the power replenishment conditions, determine the energy control parameters of the energy storage components and / or the power grid.

[0349] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to, when the energy storage discharge power is less than the first power deviation and the energy storage discharge power is less than the rated power of the energy storage component, the power supplementation condition is the condition where the energy storage is insufficient and the rated power of the energy storage component has not been reached. When the energy storage discharge power is equal to the first power deviation and the energy storage discharge power is less than or equal to the rated power of the energy storage component, the power replenishment condition is the energy storage sufficient condition. When the energy storage discharge power is less than the first power deviation and the energy storage discharge power is equal to the rated power of the energy storage component, the power replenishment condition is the condition where the energy storage is insufficient and the rated power of the energy storage component is reached.

[0350] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine the first grid discharge power based on the deviation between the first power deviation and the energy storage discharge power when the power supplementation condition is that the energy storage is insufficient and the rated power of the energy storage component is not reached. Obtain the first current power level of the energy storage component; Based on the rated power of the energy storage component and the first current power, determine the spare capacity of the energy storage component during the first time period; Based on the first grid discharge power and the spare capacity of the energy storage component during the first time period, the energy control parameters of the energy storage component and the energy control parameters of the grid are determined.

[0351] In some possible implementations of this application, the planning module 1102 is specifically used to determine the energy control parameters of the energy storage component and the energy control parameters of the power grid based on the electricity price charging strategy, the first grid discharge power, and the spare capacity of the energy storage component in the first time period.

[0352] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine the rechargeable power of the energy storage based on the rated power of the energy storage component and the energy storage discharge power; The charging power of the energy storage component during the first time period is determined based on the smaller of the first power deviation, the spare capacity of the energy storage component during the first time period, the first grid discharge power, and the energy storage rechargeable power. The second energy storage grid interaction capacity balance is obtained based on the charging power of the energy storage component during the first time period and the first energy storage grid interaction capacity balance. Based on the remaining capacity of the second energy storage grid interaction, the energy control parameters of the energy storage component and the energy control parameters of the grid are determined.

[0353] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine the first energy level of the energy storage component in the first time period based on the charging power of the energy storage component in the first time period, the first current energy level of the energy storage component, and the additional injected energy level when the balance of the second energy storage grid interaction capacity is greater than a preset first value. The first electrical quantity of the energy storage component during the first time period is used as the energy control parameter of the energy storage component; The second grid discharge power is obtained based on the deviation between the first power deviation and the energy storage chargeable power. When the discharge power of the second power grid is less than a preset third value, the energy control parameters of the power grid are determined according to the discharge power of the second power grid and the preset power grid extraction strategy. When the remaining capacity of the second energy storage grid is equal to the preset first value, the discharge power of the third grid is determined according to the preset second value and used as the energy control parameter of the grid.

[0354] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to obtain the first current power of the energy storage component when the power replenishment condition is the energy storage sufficient condition; Based on the first current energy level of the energy storage component, the preset time period coefficient, and the energy storage discharge power, the second energy level of the energy storage component in the first time period is determined; The preset fourth value will be used as the remaining capacity of the third energy storage grid interaction; Based on the remaining capacity of the third energy storage grid interaction and the second electricity of the energy storage component in the first time period, the energy control parameters of the energy storage component are generated.

[0355] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to obtain the fourth grid discharge power based on the deviation between the first power deviation and the energy storage discharge power when the power supplementation condition is that the energy storage is insufficient and reaches the rated power of the energy storage component. The energy control parameters of the power grid are determined based on the preset power grid extraction strategy and the discharge power of the fourth power grid.

[0356] In some possible implementations of the embodiments of this application, the preset power grid extraction strategy includes: The grid discharge power was determined as the first candidate power to be discharged from the grid. The second candidate power is determined based on the smaller of the first current remaining power and the preset power threshold for power withdrawal. The first current remaining power represents the power threshold at which power can be withdrawn from the power grid at present. The power of the network being disconnected in the first time period is determined based on the smaller value between the first candidate disconnection power and the second candidate disconnection power. The alarm grid disconnection deviation is determined based on the first power deviation, the energy storage discharge power of the energy storage component, and the grid disconnection power. If the alarm drop-off deviation is greater than a preset fifth value, an alarm is triggered based on the alarm drop-off deviation. The remaining power for offline operation in the first time period is determined based on the offline power, the preset time period coefficient, and the first current offline remaining power.

[0357] In some possible implementations of the embodiments of this application, the planning module 1102 is specifically used to determine the remaining power corresponding to the first current on-grid remaining power based on the obtained first current on-grid remaining power and a preset time period coefficient when the power condition is a power surplus. The internet power is determined based on the smaller of the preset internet power threshold and the remaining power. If the surplus power in the first time period is greater than or equal to the internet power, the internet power consumption in the first time period is determined based on the internet power and the preset time period coefficient. The surplus power in the first time period is determined based on the first power deviation. The remaining battery power for the first time period is determined based on the current remaining battery power and the battery power used during the first time period. If the surplus power in the first time period is less than the grid-connected power, the power curtailment in the first time period is determined based on the surplus deviation between the grid-connected power and the surplus power in the first time period. The cumulative amount of abandoned power in the first time period is determined based on the abandoned power in the first time period and the first current cumulative amount of abandoned power. The energy control parameters of the power grid are determined based on the grid-connected power, the remaining grid-connected power during the first time period, the abandoned power during the first time period, and the cumulative abandoned power during the first time period.

[0358] In some possible implementations of the embodiments of this application, the monitoring module 1103 is specifically used to obtain a third predicted power set for a subsequent second time period of the wind turbine, the second time period including multiple first time periods, the third predicted power set including a fourth predicted power corresponding to each first time period, the fourth predicted power being the predicted power of the wind turbine in the corresponding first time period; At each interval of the first time period, the current hydrogen production power of the hydrogen production unit is obtained. Based on the fourth predicted power corresponding to the current first time period and the current hydrogen production power, the energy matching status between the current production energy demand of the hydrogen production unit and the energy control parameters is monitored.

[0359] In some possible implementations of the embodiments of this application, the dynamic adjustment module 1104 is specifically used to generate a first dynamic control parameter for correcting the energy control parameter based on the energy matching state and the fourth predicted power; When executing the first dynamic control parameters, the second current power of the wind turbine and the hydrogen production unit is obtained every third time interval, wherein the first time interval includes a plurality of the third time intervals; When the second current power of the wind turbine is less than the second current power of the hydrogen production unit, a second power deviation between the second current power of the wind turbine and the second current power of the hydrogen production unit is determined. Based on the second power deviation, a power supplementation parameter is determined. Based on the power supplementation parameter, at least one of the second dynamic control parameters of the wind turbine, the second dynamic control parameters of the energy storage component, and the second dynamic control parameters of the power grid is generated. If the second current power of the wind turbine is greater than or equal to the second current power of the hydrogen production unit, a third power deviation between the second current power of the hydrogen production unit and the second current power of the wind turbine is determined. Based on the third power deviation and the grid-connected power for the first time period planned for the grid in the uncorrected energy control parameters, the grid-connected power parameters of the energy storage component and the second grid-connected power parameters of the grid are determined. Based on the grid-connected power parameters, the third dynamic control parameters of the energy storage component are generated. Based on the second grid-connected power parameters of the grid, the third dynamic control parameters of the grid are generated.

[0360] like Figure 12 As shown, the wind power hydrogen production platform control device 1500 may include a processor 1501 and a memory 1502 for storing computer program instructions.

[0361] Processor 1501 may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits that may be configured to implement the embodiments of this application.

[0362] Memory 1502 may include mass storage for data or instructions. For example, and not limitingly, memory 1502 may include a hard disk drive (HDD), a floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. In one instance, memory 1502 may include removable or non-removable (or fixed) media, or memory 1502 may be non-volatile solid-state memory. In one instance, memory 1502 may be read-only memory (ROM). In one instance, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0363] Processor 1501 reads and executes computer program instructions stored in memory 1502 to achieve... Figures 1-10 The method in the illustrated embodiment achieves... Figures 1-10 The corresponding technical effects achieved by the methods in the illustrated embodiments are described briefly and will not be elaborated further here.

[0364] In one example, the wind power hydrogen production platform control device 1500 may also include a communication interface 1503 and a bus 1504. For example, Figure 12 As shown, the processor 1501, memory 1502, and communication interface 1503 are connected through bus 1504 and complete communication with each other.

[0365] The communication interface 1503 is mainly used to realize communication between various modules, devices and / or equipment in the embodiments of this application.

[0366] Bus 1504 includes hardware, software, or both, that couples the components of the wind power hydrogen production platform control device 1500 together. For example, and not as a limitation, bus 1504 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 1504 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, this application contemplates any suitable bus or interconnect.

[0367] The wind power hydrogen production platform control device 1500 can execute the wind power hydrogen production platform control method in the embodiments of this application, thereby achieving a combination Figures 1-10 The described control method for wind power hydrogen production platform and Figure 11 The control device for the wind power hydrogen production platform is described.

[0368] Furthermore, in conjunction with the wind power hydrogen production platform control method in the above embodiments, this application embodiment can provide a computer storage medium for implementation. This computer storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the wind power hydrogen production platform control methods in the above embodiments.

[0369] Furthermore, in conjunction with the wind power hydrogen production platform control method in the above embodiments, this application embodiment can provide a computer program product to implement it. This computer program product includes a computer program that, when executed by a processor, implements any of the wind power hydrogen production platform control methods in the above embodiments.

[0370] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0371] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the related technology, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0372] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A control method for a wind power hydrogen production platform, characterized in that, include: Determine the first predicted power output of the wind turbine in the first time period following its operation. Based on the first predicted power of the wind turbine in the first time period, determine the hydrogen production predetermined parameters of the hydrogen production unit in the first time period and the energy control parameters that satisfy the hydrogen production predetermined parameters. During the process of controlling the hydrogen production of the hydrogen production unit according to the energy control parameters and the hydrogen production predetermined parameters, the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters is monitored. Based on the energy matching status, dynamic control parameters are generated to correct the energy control parameters. The dynamic control parameters include control parameters of at least one of the wind turbine, energy storage components, and power grid.

2. The method according to claim 1, characterized in that, Based on the first predicted power of the wind turbine during the first time period, the predetermined parameters for hydrogen production by the hydrogen production unit during the first time period are determined, including: Obtain the first current storable capacity of the storage component used to store the hydrogen output from the hydrogen production unit and the first current power of the hydrogen production unit; The second predicted power of the hydrogen production unit in the first time period is determined based on the first predicted power of the wind turbine in the first time period and the first current power of the hydrogen production unit. Based on the preset hydrogen output, the rated storage space of the storage component, and the first current available storage capacity, the predicted hydrogen output of the storage component during the first time period is determined. Based on the predicted hydrogen output of the storage component in the first time period and the second predicted power, the predetermined parameters for hydrogen production of the hydrogen production unit in the first time period are determined.

3. The method according to claim 2, characterized in that, Determining the second predicted power of the hydrogen production unit in the first time period based on the first predicted power of the wind turbine in the first time period and the first current power of the hydrogen production unit includes: Based on the rated power of the hydrogen production mechanism and the preset power adjustment coefficient, the power adjustment variable of the hydrogen production mechanism in the first time period is determined; Based on the power adjustment variable and the first current power of the hydrogen production unit, a first power adjustment threshold and a second power adjustment threshold of the hydrogen production unit are determined in the first time period, wherein the first power adjustment threshold is less than the second power adjustment threshold; The second predicted power of the hydrogen production unit in the first period is determined based on the relationship between the first predicted power of the wind turbine in the first period and the first power adjustment threshold and the second power adjustment threshold.

4. The method according to claim 3, characterized in that, Based on the relationship between the first predicted power of the wind turbine during the first time period and the first power adjustment threshold and the second power adjustment threshold, the second predicted power of the hydrogen production unit during the first time period is determined, including: If the first predicted power of the wind turbine in the first time period is less than the first power adjustment threshold, the first power adjustment threshold is determined as the second predicted power of the hydrogen production unit in the first time period. When the first predicted power is greater than the first power adjustment threshold and less than or equal to the first current power of the hydrogen production unit, the first current threshold power required for the hydrogen production unit to output the first current storable amount is determined based on the first current storable amount and a preset time period coefficient, wherein the preset time period coefficient is negatively correlated with the first current threshold power. The second predicted power is determined based on the smaller of the first current threshold power and the first predicted power; If the first predicted power is greater than or equal to the second power adjustment threshold, the second predicted power is determined based on the smaller of the first current threshold power and the second power adjustment threshold. If the first predicted power is greater than the first current power of the hydrogen production unit and less than the second power adjustment threshold, the first predicted power is determined as the second predicted power.

5. The method according to claim 2, characterized in that, Based on the predicted hydrogen output of the storage component in the first time period and the second predicted power, the predetermined parameters for hydrogen production of the hydrogen production unit in the first time period are determined, including: The predicted remaining amount of the storage component in the first time period is determined based on the first current available storage capacity, the second predicted power, and the predicted hydrogen output of the storage component in the first time period. Based on the second predicted power, the predicted hydrogen output of the storage component in the first time period, and the predicted remaining storage capacity of the storage component in the first time period, the predetermined parameters for hydrogen production of the hydrogen production unit in the first time period are generated.

6. The method according to claim 1, characterized in that, Based on the first predicted power of the wind turbine during the first time period, energy control parameters that satisfy the predetermined hydrogen production parameters are determined, including: Determine the first predicted power of the wind turbine during the first time period and the first predicted power in the hydrogen production predetermined parameters, wherein the second predicted power is the predicted power of the hydrogen production unit during the first time period; Based on the first power deviation, the power operating condition of the hydrogen production unit is determined, and the power operating condition includes either power shortage or power surplus. Based on the power conditions, determine the energy control parameters of the energy storage components and / or the power grid.

7. The method according to claim 6, characterized in that, Based on the aforementioned power conditions, determine the energy control parameters for the energy storage components and / or the power grid, including: When the power condition is insufficient, determine the power level of the energy storage component during the first time period; The energy storage discharge power of the energy storage component is determined based on the smaller of the energy storage component's charge during the first time period, the rated power of the energy storage component, and the first power deviation. Based on the relationship between the energy storage discharge power and the rated power of the energy storage module, and the relationship between the energy storage discharge power and the first power deviation, the power replenishment condition of the energy storage module is determined. The power replenishment condition includes one of the following: sufficient energy storage condition, insufficient energy storage and failure to reach the rated power of the energy storage module, and insufficient energy storage and reaching the rated power of the energy storage module. Based on the power replenishment conditions, determine the energy control parameters of the energy storage components and / or the power grid.

8. The method according to claim 7, characterized in that, Based on the relationship between the energy storage discharge power and the rated power of the energy storage module, and the relationship between the energy storage discharge power and the first power deviation, the power replenishment conditions of the energy storage module are determined, including: When the energy storage discharge power is less than the first power deviation and the energy storage discharge power is less than the rated power of the energy storage component, the power replenishment condition is the condition where the energy storage is insufficient and the rated power of the energy storage component has not been reached. When the energy storage discharge power is equal to the first power deviation and the energy storage discharge power is less than or equal to the rated power of the energy storage component, the power replenishment condition is the energy storage sufficient condition. When the energy storage discharge power is less than the first power deviation and the energy storage discharge power is equal to the rated power of the energy storage component, the power replenishment condition is the condition where the energy storage is insufficient and the rated power of the energy storage component is reached.

9. The method according to claim 7, characterized in that, Based on the aforementioned power replenishment conditions, determine the energy control parameters of the energy storage components and / or the power grid, including: When the power replenishment condition is that the energy storage is insufficient and the rated power of the energy storage component is not reached, the first grid discharge power is determined based on the deviation between the first power deviation and the energy storage discharge power. Obtain the first current power level of the energy storage component; Based on the rated power of the energy storage component and the first current power, determine the spare capacity of the energy storage component during the first time period; Based on the first grid discharge power and the spare capacity of the energy storage component during the first time period, the energy control parameters of the energy storage component and the energy control parameters of the grid are determined.

10. The method according to claim 9, characterized in that, Based on the first grid discharge power and the spare capacity of the energy storage component during the first time period, the energy control parameters of the energy storage component and the energy control parameters of the grid are determined, including: The rechargeable power of the energy storage is determined based on the rated power of the energy storage component and the energy storage discharge power. The charging power of the energy storage component during the first time period is determined based on the smaller of the first power deviation, the spare capacity of the energy storage component during the first time period, the first grid discharge power, and the energy storage rechargeable power. The second energy storage grid interaction capacity balance is obtained based on the charging power of the energy storage component during the first time period and the first energy storage grid interaction capacity balance. Based on the remaining capacity of the second energy storage grid interaction, the energy control parameters of the energy storage component and the energy control parameters of the grid are determined.

11. The method according to claim 10, characterized in that, Based on the remaining capacity of the second energy storage grid interaction, the energy control parameters of the energy storage components and the energy control parameters of the grid are determined, including: Based on the electricity price charging strategy and the remaining capacity of the second energy storage grid interaction, the energy control parameters of the energy storage components and the energy control parameters of the grid are determined.

12. The method according to claim 10, characterized in that, Based on the remaining capacity of the second energy storage grid interaction, the energy control parameters of the energy storage components and the energy control parameters of the grid are determined, including: If the remaining capacity of the second energy storage grid interaction is greater than a preset first value, the first energy level of the energy storage component in the first time period is determined based on the charging power of the energy storage component in the first time period, the first current energy level of the energy storage component, and the additional injected energy level. The first electrical quantity of the energy storage component during the first time period is used as the energy control parameter of the energy storage component; The second grid discharge power is obtained based on the deviation between the first power deviation and the energy storage chargeable power. When the discharge power of the second power grid is less than a preset third value, the energy control parameters of the power grid are determined according to the discharge power of the second power grid and the preset power grid extraction strategy. When the remaining capacity of the second energy storage grid is equal to the preset first value, the discharge power of the third grid is determined according to the preset second value and used as the energy control parameter of the grid.

13. The method according to claim 7, characterized in that, Based on the aforementioned power replenishment conditions, the energy control parameters of the energy storage component are determined, including: When the power replenishment condition is the energy storage sufficient condition, the first current power of the energy storage component is obtained; Based on the first current energy level of the energy storage component, the preset time period coefficient, and the energy storage discharge power, the second energy level of the energy storage component in the first time period is determined; The preset fourth value will be used as the remaining capacity of the third energy storage grid interaction; Based on the remaining capacity of the third energy storage grid interaction and the second electricity of the energy storage component in the first time period, the energy control parameters of the energy storage component are generated.

14. The method according to claim 7, characterized in that, Based on the aforementioned power supplementation conditions, the energy control parameters of the power grid are determined, including: When the power replenishment condition is that the energy storage is insufficient and the rated power of the energy storage component is reached, the fourth grid discharge power is obtained based on the deviation between the first power deviation and the energy storage discharge power. The energy control parameters of the power grid are determined based on the preset power grid extraction strategy and the discharge power of the fourth power grid.

15. The method according to claim 12 or 14, characterized in that, The preset power grid extraction strategy includes: The grid discharge power was determined as the first candidate power to be discharged from the grid. The second candidate power is determined based on the smaller of the first current remaining power and the preset power threshold for power withdrawal. The first current remaining power represents the power threshold at which power can be withdrawn from the power grid at present. The power of the network being disconnected in the first time period is determined based on the smaller value between the first candidate disconnection power and the second candidate disconnection power. The alarm grid disconnection deviation is determined based on the first power deviation, the energy storage discharge power of the energy storage component, and the grid disconnection power. If the alarm drop-off deviation is greater than a preset fifth value, an alarm is triggered based on the alarm drop-off deviation. The remaining power for offline operation in the first time period is determined based on the offline power, the preset time period coefficient, and the first current offline remaining power.

16. The method according to claim 6, characterized in that, Based on the aforementioned power operating conditions, the energy control parameters of the power grid are determined, including: When the power condition is one of power surplus, the remaining power corresponding to the first current online remaining power is determined based on the first current online remaining power and the preset time period coefficient. The internet power is determined based on the smaller of the preset internet power threshold and the remaining power. If the surplus power in the first time period is greater than or equal to the internet power, the internet power consumption in the first time period is determined based on the internet power and the preset time period coefficient. The surplus power in the first time period is determined based on the first power deviation. The remaining battery power for the first time period is determined based on the current remaining battery power and the battery power used during the first time period. If the surplus power in the first time period is less than the grid-connected power, the power curtailment in the first time period is determined based on the surplus deviation between the grid-connected power and the surplus power in the first time period. The cumulative amount of abandoned power in the first time period is determined based on the abandoned power in the first time period and the first current cumulative amount of abandoned power. The energy control parameters of the power grid are determined based on the grid-connected power, the remaining grid-connected power during the first time period, the abandoned power during the first time period, and the cumulative abandoned power during the first time period.

17. The method according to claim 1, characterized in that, Monitoring the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters includes: Obtain a third predicted power set for a subsequent second time period of the wind turbine, wherein the second time period includes multiple first time periods, and the third predicted power set includes a fourth predicted power corresponding to each first time period, wherein the fourth predicted power is the predicted power of the wind turbine in the corresponding first time period. At each interval of the first time period, the current hydrogen production power of the hydrogen production unit is obtained. Based on the fourth predicted power corresponding to the current first time period and the current hydrogen production power, the energy matching status between the current production energy demand of the hydrogen production unit and the energy control parameters is monitored.

18. The method according to claim 17, characterized in that, Based on the energy matching state, dynamic control parameters are generated for correcting the energy control parameters, including: Based on the energy matching state and the fourth predicted power, a first dynamic control parameter is generated to correct the energy control parameter; When executing the first dynamic control parameters, the second current power of the wind turbine and the hydrogen production unit is obtained every third time interval, wherein the first time interval includes a plurality of the third time intervals; When the second current power of the wind turbine is less than the second current power of the hydrogen production unit, a second power deviation between the second current power of the wind turbine and the second current power of the hydrogen production unit is determined. Based on the second power deviation, a power supplementation parameter is determined. Based on the power supplementation parameter, at least one of the second dynamic control parameters of the wind turbine, the second dynamic control parameters of the energy storage component, and the second dynamic control parameters of the power grid is generated. If the second current power of the wind turbine is greater than or equal to the second current power of the hydrogen production unit, a third power deviation between the second current power of the hydrogen production unit and the second current power of the wind turbine is determined. Based on the third power deviation and the grid-connected power for the first time period planned for the grid in the uncorrected energy control parameters, the grid-connected power parameters of the energy storage component and the second grid-connected power parameters of the grid are determined. Based on the grid-connected power parameters, the third dynamic control parameters of the energy storage component are generated. Based on the second grid-connected power parameters of the grid, the third dynamic control parameters of the grid are generated.

19. A wind power hydrogen production platform, characterized in that, include: Wind turbine, energy storage component, hydrogen production mechanism and energy control system that applies the wind power hydrogen production platform control method as described in any one of claims 1-18; The energy control system is used to exchange data with the power grid, the wind turbine, the energy storage component, and the hydrogen production unit through a data transmission protocol that meets power grid security constraints.

20. A control device for a wind power hydrogen production platform, characterized in that, The device includes: The first predicted power determination module is used to determine the first predicted power of the wind turbine in the subsequent first time period. The planning module is used to determine the hydrogen production predetermined parameters of the hydrogen production unit in the first period and the energy control parameters that satisfy the hydrogen production predetermined parameters based on the first predicted power of the wind turbine in the first period. The monitoring module is used to monitor the energy matching status between the current hydrogen production demand of the hydrogen production unit and the energy control parameters during the process of controlling the hydrogen production unit to produce hydrogen according to the energy control parameters and the hydrogen production predetermined parameters. A dynamic adjustment module is used to generate dynamic control parameters for correcting the energy control parameters based on the energy matching state. The dynamic control parameters include control parameters of at least one of the wind turbine, energy storage components, and power grid.

21. A control device for a wind power hydrogen production platform, characterized in that, include: Processor and memory storing computer program instructions; When the processor executes the computer program instructions, it implements the wind power hydrogen production platform control method as described in any one of claims 1 to 18.

22. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions, which, when executed by a processor, implement the wind power hydrogen production platform control method as described in any one of claims 1 to 18.

23. A computer program product, characterized in that, The system includes a computer program that, when executed by a processor, implements the wind power hydrogen production platform control method as described in any one of claims 1 to 18.

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