Economic analysis method and device for wind power hydrogen production system based on dedicated line power supply mode

Abstract

The application provides a wind power hydrogen production system economic analysis method and device based on a dedicated line power supply mode. The wind power hydrogen production system comprises a heating device for maintaining the temperature of an electrolytic cell within a preset temperature range. The method comprises the following steps: inputting preset wind power output power into the hydrogen production system, determining the size relationship between the wind power output power and the minimum rated power and the standard rated power, and determining the interval of the wind power output power; determining the actual power consumption and the working temperature of the hydrogen production system based on the wind power output power in different intervals; determining the total hydrogen production and the total power consumption of the hydrogen production system within a preset time according to the correlation between the current working temperature, the current actual power consumption and the hydrogen production, and determining the total operation income of the hydrogen production system. The application quantitatively analyzes the system economy under different input conditions or control strategies of the wind power hydrogen production system based on the dedicated line power supply mode under the condition that the alkaline electrolytic cell has a shutdown heat preservation function.

Description

Technical Field

[0001] This application relates to the field of wind power hydrogen production, and in particular to an economic analysis method and apparatus for wind power hydrogen production systems based on dedicated power supply mode. Background Technology

[0002] Wind power curtailment and grid connection has always been a major problem, and how to solve this problem is one of the key research focuses for researchers. Wind power coupled with hydrogen production is a new approach to solving this problem. It can realize the local consumption of wind power generation, and the use of hydrogen for energy storage can realize large-scale, long-term storage of renewable energy. It can be used for seasonal peak shaving of the power system, and the produced hydrogen can also be transported over long distances via pipelines, long-tube trailers, ships, etc., to couple hydrogen energy with fields that are difficult to deeply decarbonize, such as transportation, chemical industry, and metallurgy.

[0003] Currently, alkaline water electrolysis for hydrogen production is the most mature, lowest-cost, and only suitable technology for large-scale application. However, it also suffers from poor operational flexibility and dynamic adaptability. Wind power generation is characterized by randomness and intermittency, and the coupling of wind power with alkaline water electrolysis for hydrogen production poses challenges to the safe and efficient operation of the electrolyzer. Domestic and foreign scholars have mainly studied the performance improvement of alkaline electrolyzers under wide power fluctuations from the aspects of equipment manufacturing and control strategies. Improving the structure of some equipment and control strategies has been proven to be an effective method to improve the power regulation performance and efficiency of alkaline electrolyzers.

[0004] Due to the randomness of wind energy, directly connecting offshore wind farms to onshore hydrogen production plants via dedicated cables can reduce system construction costs by transmitting the electricity generated by the offshore wind farms to the onshore hydrogen production plants. However, this power supply mode also presents challenges to the efficient control of the hydrogen production system. To ensure the economical operation of the system, it is necessary to comprehensively optimize the capacity and control methods of the wind turbines and hydrogen production system. However, there is currently a lack of comprehensive modeling and analysis methods for such systems and operating conditions. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the first objective of this application is to propose an economic analysis method for wind power hydrogen production systems based on dedicated power supply mode, which utilizes the curtailed wind power to heat the insulated electrolyzer, and quantitatively analyzes the economics of wind-hydrogen coupling systems under different input conditions or control strategies.

[0007] The second objective of this application is to provide an apparatus.

[0008] The third objective of this application is to propose an electronic device.

[0009] To achieve the above objectives, the first aspect of this application proposes an economic analysis method for a wind power hydrogen production system based on a dedicated power supply mode. The wind power hydrogen production system includes a heating device, which is used to heat the alkaline solution using the wind power output during a shutdown of the hydrogen production system due to insufficient power generated by the wind power system, thereby maintaining the temperature of the electrolyzer within a preset temperature range. The method includes:

[0010] The preset wind power output is fed into the hydrogen production system, and the relationship between the wind power output and the minimum rated power and standard rated power of the hydrogen production system is determined to identify the range of the wind power output.

[0011] Based on the wind power output power in different ranges, determine the current actual power consumption and current operating temperature of the hydrogen production system;

[0012] Based on the current operating temperature of the hydrogen production system, the correlation between the current actual power consumption and the hydrogen production, determine the total hydrogen production and total power consumption of the hydrogen production system within a preset time.

[0013] The total operating revenue of the hydrogen production system is determined based on the total hydrogen production and total electricity consumption.

[0014] Optionally, before feeding the preset wind power output into the hydrogen production system, the method further includes:

[0015] Using the Weibull distribution as the wind speed probability density function, a random wind speed sequence is generated, which can be formulated as follows:

[0016]

[0017] Where x is the wind speed value, k is the shape parameter used to determine the shape of the wind speed distribution, and c is the scale parameter used to determine the scale of the wind speed distribution;

[0018] The wind energy captured by the wind turbine is calculated based on the wind energy estimation formula, and the wind energy generated by the wind turbine is determined based on the turbine's own parameters. The wind energy estimation formula is as follows:

[0019]

[0020] Where P is mechanical power, ρ is air density, A is the area covered by the fan blades, v is wind speed, and C is air density. p The wind energy utilization coefficient of the wind turbine;

[0021] Select a random sequence of wind speeds that meets preset conditions and generate wind energy to obtain the wind power output.

[0022] Optionally, the step of feeding the preset wind power output into the hydrogen production system, determining the relationship between the wind power output and the minimum rated power and standard rated power of the hydrogen production system, and determining the range of the wind power output includes:

[0023] If the wind power output is less than the minimum rated power, then the wind power output is in the first range;

[0024] If the wind power output is not less than the minimum rated power and less than the standard rated power, then the wind power output is in the second range.

[0025] If the wind power output is not less than the standard rated power, then the wind power output is in the third range.

[0026] Optionally, if the wind power output is within the first range, determining the current actual power consumption and current operating temperature of the hydrogen production system includes:

[0027] The current actual power consumption of the hydrogen production system is calculated according to the first power discrimination formula, wherein the first power discrimination formula is:

[0028]

[0029] In the formula, P comsumpt [t] represents the actual power consumed at the current time t, C insulation P is the rated power of the heating device. in [t] represents the wind power output power;

[0030] The current predetermined temperature of the hydrogen production system is calculated according to the first temperature calculation formula, wherein the expression of the first temperature calculation formula is:

[0031]

[0032] Where T1[t] is the current predetermined temperature, and T[t-1] is the temperature at the previous moment. The heat dissipation temperature coefficient of the hydrogen production system is used to represent the temperature decrease per simulation step after the hydrogen production system stops working. The efficiency conversion coefficient of the auxiliary heating system;

[0033] The current operating temperature of the hydrogen production system is calculated according to the first temperature discrimination formula, wherein the first temperature discrimination formula is:

[0034]

[0035] Among them, T normal This refers to the normal operating and stable temperature of the hydrogen production system.

[0036] Optionally, if the wind power output is within the second range, determining the current actual power consumption and current operating temperature of the hydrogen production system includes:

[0037] Determine the relationship between the temperature of the hydrogen production system at the previous moment and the minimum temperature during normal operation;

[0038] If the temperature at the previous moment is less than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0039]

[0040] in, This is used to represent the temperature increase per simulation step when the chemical reaction generates heat to heat the electrolyzer during normal operation of the hydrogen production system.

[0041] If the temperature at the previous moment is not less than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0042]

[0043] Optionally, if the wind power output is in the third range, determining the current actual power consumption and current operating temperature of the hydrogen production system includes:

[0044] Determine the relationship between the temperature of the hydrogen production system at the previous moment and the minimum and maximum temperatures during normal operation.

[0045] If the temperature at the previous moment is less than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0046]

[0047] If the temperature at the previous moment was not less than the minimum temperature and less than the maximum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0048]

[0049]

[0050] Among them, P maxin [t] represents the maximum input power of the hydrogen production system at time t, where T is the maximum input power of the hydrogen production system. overload T is the maximum permissible temperature when the hydrogen production system is under overload operation. max C is the maximum temperature at which the hydrogen production system operates normally. ALEThe standard rated power of the hydrogen production system, This refers to the maximum overload time of the hydrogen production system. This is the minimum power threshold coefficient of the hydrogen production system;

[0051] If the temperature at the previous moment is not less than the maximum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0052]

[0053] Optionally, the maximum input power of the hydrogen production system at time t is:

[0054]

[0055] in, This is the maximum power threshold coefficient of the hydrogen production system.

[0056] Optionally, determining the total operating revenue of the hydrogen production system based on the total hydrogen production and total power consumption includes:

[0057] The total operating revenue is obtained based on the economic benefit model, and is formulated as follows:

[0058]

[0059] Among them, C total For the total operating revenue, The total hydrogen production is [amount]. W is the unit price of hydrogen. e For the total power consumption, c e This refers to the electricity price.

[0060] To achieve the above objectives, a second aspect of this application proposes an economic analysis device for a wind power hydrogen production system based on a dedicated power supply mode. The wind power hydrogen production system includes a heating device used to heat the alkaline solution using wind power output during shutdowns caused by insufficient power generated by the wind power system, thereby maintaining the temperature of the electrolyzer within a preset temperature range. The economic analysis device includes:

[0061] The judgment module is used to input the preset wind power output into the hydrogen production system, judge the relationship between the wind power output and the minimum rated power, standard rated power and maximum rated power of the hydrogen production system, and determine the range of the wind power output;

[0062] The classification calculation module is used to determine the current actual power consumption and current operating temperature of the hydrogen production system based on the wind power output power in different ranges.

[0063] The output module is used to determine the total hydrogen production and total power consumption of the hydrogen production system within a preset time period based on the current operating temperature of the hydrogen production system, the correlation between the current actual power consumption and the hydrogen production.

[0064] An economic calculation module is used to determine the total operating revenue of the hydrogen production system based on the total hydrogen production and total power consumption.

[0065] To achieve the above objectives, a third aspect of this application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0066] The memory stores computer-executed instructions;

[0067] The processor executes computer execution instructions stored in the memory to implement the method as described in any one of the first aspects above.

[0068] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:

[0069] In existing alkaline electrolyzer equipment, a heating device is added to heat the alkaline electrolyzer using curtailed wind power. Furthermore, this application proposes a system for producing hydrogen from wind power based on a dedicated power supply mode. Under the condition of having the function of maintaining the alkaline electrolyzer during shutdown, the system's economic efficiency under different input or control strategies can be quantitatively analyzed, which improves the absorption capacity of wind power, reduces the system's electricity costs, and enhances the economic efficiency of system operation.

[0070] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0071] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0072] Figure 1 This is a schematic diagram of a hydrogen production system according to an embodiment of this application;

[0073] Figure 2 This is a flowchart illustrating an economic analysis method for a wind power hydrogen production system based on a dedicated power supply mode, according to an embodiment of this application.

[0074] Figure 3 This is a schematic diagram illustrating the probability distribution density of wind speed in a simulation test scenario according to an embodiment of this application;

[0075] Figure 4 This is a schematic diagram of wind speed data waveforms under a simulation test scenario, according to an embodiment of this application.

[0076] Figure 5 This is a long-term temperature change curve of an electrolytic cell under a simulation test scenario, as shown in an embodiment of this application.

[0077] Figure 6 This is a graph showing the temperature change over time in an electrolytic cell under a simulation test scenario, according to an embodiment of this application.

[0078] Figure 7 This is a schematic diagram illustrating the long-term hydrogen production of a hydrogen production system under a simulation test scenario, according to an embodiment of this application.

[0079] Figure 8 This is a schematic diagram of hydrogen production rate over slice time in a simulated test scenario of a hydrogen production system, according to an embodiment of this application.

[0080] Figure 9 This is a schematic diagram illustrating the long-term energy utilization rate of a hydrogen production system under a simulation test scenario, according to an embodiment of this application.

[0081] Figure 10 This is a schematic diagram of the slice energy utilization rate of a hydrogen production system under a simulation test scenario, according to an embodiment of this application.

[0082] Figure 11 This is a long-term temperature change curve of an electrolytic cell under another simulation test scenario shown in the embodiments of this application;

[0083] Figure 12 This is a graph showing the temperature change over time in an electrolytic cell under another simulation test scenario, as illustrated in an embodiment of this application.

[0084] Figure 13 This is a schematic diagram of the long-term hydrogen production of a hydrogen production system under another simulation test scenario according to an embodiment of this application;

[0085] Figure 14 This is a schematic diagram of hydrogen production rate per slice time in a hydrogen production system under another simulation test scenario according to an embodiment of this application.

[0086] Figure 15 This is a schematic diagram of the long-term energy utilization rate of a hydrogen production system under another simulation test scenario, according to an embodiment of this application.

[0087] Figure 16 This is a schematic diagram of the slice energy utilization rate of a hydrogen production system under another simulation test scenario according to an embodiment of this application;

[0088] Figure 17 This is a schematic diagram illustrating the logic assignment of wind power output for different intervals according to an embodiment of this application;

[0089] Figure 18 This is a block diagram of an economic analysis device for a wind power hydrogen production system based on a dedicated power supply mode, according to an embodiment of this application.

[0090] Figure 19 It is a block diagram of an electronic device. Detailed Implementation

[0091] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0092] The following describes, with reference to the accompanying drawings, an economic analysis method and apparatus for a wind power-to-hydrogen system based on a dedicated line mode, according to embodiments of this application.

[0093] The economic analysis method proposed in this application is based on, for example, Figure 1 The hydrogen production system shown.

[0094] like Figure 1 As shown, the hydrogen production system mainly includes components such as an electrolyzer stack, heat exchanger, gas-liquid separator, scrubber, electric heating device, alkali solution circulation pump, and temperature and pressure transmitters. The heating device's function is to use wind power to heat the alkali solution during shutdowns when the alkaline electrolyzer's operating power is below safe power, maintaining the electrolyzer's temperature within a certain range for rapid restart and improving the ability to absorb wind power.

[0095] like Figure 2 As shown in the embodiments of this application, the economic analysis method for wind power hydrogen production systems based on dedicated power supply mode specifically includes the following steps:

[0096] Step 101: Input the preset wind power output into the hydrogen production system, determine the relationship between the wind power output and the minimum rated power and standard rated power of the hydrogen production system, and determine the range of the wind power output.

[0097] In this embodiment of the application, it is necessary to screen the wind power output of the hydrogen production system. Specifically:

[0098] Using the Weibull distribution as the wind speed probability density function, a random wind speed sequence is generated, which can be formulated as follows:

[0099]

[0100] Where x is the wind speed value, k is the shape parameter used to determine the shape of the wind speed distribution, and c is the scale parameter used to determine the scale of the wind speed distribution;

[0101] The wind energy captured by the wind turbine is calculated based on the wind energy estimation formula, and the wind energy generated by the wind turbine is determined based on the turbine's own parameters. The wind energy estimation formula is as follows:

[0102]

[0103] Where P is mechanical power, ρ is air density, A is the area covered by the fan blades, v is wind speed, and C is air density. p The wind energy utilization coefficient of the wind turbine;

[0104] Select a random sequence of wind speeds that meets preset conditions and generate wind energy to produce wind power output.

[0105] Understandably, the following embodiment is presented to illustrate the reasons for selecting the wind power output and the improvements of the hydrogen production system proposed in this application.

[0106] In the simulation test scenario of the proposed embodiment, the wind power test data used has an average wind speed of 12 m / s, a maximum wind speed of 30 m / s, a shape parameter of 0.486, and the wind speed probability density function and wind speed data waveform are as follows. Figure 3 and Figure 4 As shown.

[0107] Furthermore, it is understood that in the simulation test scenario of the proposed embodiment, when the input power of the hydrogen production system is less than a minimum threshold, no additional heating equipment is used to keep the alkaline solution in the hydrogen production system warm. That is, when the input power is less than the minimum threshold, the hydrogen production system shuts down and undergoes natural cooling to simulate existing hydrogen production equipment. The temperature curve of the hydrogen production system during the test process is as follows: Figure 5 and Figure 6 As shown.

[0108] according to Figure 5 and Figure 6 The graphs shown indicate that due to the low input power caused by the wind power waveform characteristics, the temperature of the alkaline electrolyte solution in the hydrogen production system dropped below 80 degrees Celsius at simulation times 406 and 434, respectively, leading to the shutdown of the hydrogen production system. However, at simulation times 410 and 436, because the input power exceeded the minimum threshold, the hydrogen production system began preheating the alkaline electrolyte solution before startup, and the duration of this heating was related to the minimum solution temperature.

[0109] Furthermore, in this simulated test scenario, the hydrogen production capacity of the hydrogen production system is as follows: Figure 7 and Figure 8As shown in the figure, the hydrogen production fluctuates with changes in wind speed during the simulation. At simulation times 406 and 434, the hydrogen production system is affected by a drop in input power and a decrease in temperature, resulting in zero hydrogen production. Furthermore, the system remains shut down until the solution temperature reaches 80 degrees Celsius. Therefore, the cooling and heating processes of the alkaline solution reduce hydrogen production.

[0110] In addition, under this simulation test scenario, the energy utilization rate of the hydrogen production system is as follows: Figure 9 and Figure 10 As shown, without heat preservation of the alkaline solution, wind energy was not effectively utilized between times 406 and 414, and between 435 and 438, reducing energy efficiency. The deviation between the theoretical input power and the actual power consumption indicates that at those simulated times, the total power generated based on wind speed data exceeded the power input of the hydrogen production system. Therefore, in a real system, the wind farm needs to be scheduled through an energy management system to reduce the power output at those times to ensure system power balance.

[0111] Furthermore, for example, in this simulation scenario, statistics and analysis were performed on the simulation data for a period of 30 days. For a hydrogen production plant consisting of 20 hydrogen production systems, the relevant techno-economic analysis results are shown in Table 1:

[0112]

[0113] Table 1

[0114] It is understood that, in order to compare with the above embodiments, this application also proposes another simulation scenario, keeping the parameters exactly the same as the first simulation scenario, but when the input power of the hydrogen production system is less than the minimum power threshold, the alkaline electrolyte solution is kept warm by using a heating device, thereby improving energy utilization by reducing the fluctuation of solution temperature.

[0115] like Figure 11 and Figure 12 As shown, when the same power input drops to the minimum threshold, the temperature of the alkaline solution can be maintained within the normal operating range by adding insulation equipment, thereby reducing the downtime of the hydrogen production system.

[0116] like Figure 13 and Figure 14 As shown, during the simulation, the hydrogen production still fluctuates with the change in wind speed, but the range where the hydrogen production is 0 is significantly reduced near simulation times 410 and 435.

[0117] like Figure 15 and Figure 16 As shown, the wind energy utilization rate in this simulation scenario is significantly higher than that in the previous simulation scenario.

[0118] In this simulation scenario, the simulation data for a period of 30 days were statistically analyzed. For a hydrogen production plant consisting of 20 hydrogen production systems, the relevant technical and economic analysis results are shown in Table 2.

[0119]

[0120] Table 2

[0121] It can be seen that all the data in Table 2 are better than the data in Table 1.

[0122] Step 102: Based on the wind power output in different ranges, determine the current actual power consumption and current operating temperature of the hydrogen production system.

[0123] like Figure 17 As shown, this application classifies different wind power outputs for different ranges, thereby determining the current actual power consumption and current operating temperature under different conditions.

[0124] (1) If the wind power output is less than the minimum rated power, then the wind power output is in the first range.

[0125] In the embodiments of this application, such as Figure 17 As shown, the current actual power consumption of the hydrogen production system is calculated according to the first power discrimination formula, whereby the first power discrimination formula is:

[0126]

[0127] In the formula, P comsumpt [t] represents the actual power consumed at the current time t, C insulation P is the rated power of the heating device. in [t] represents the wind power output;

[0128] The current predetermined temperature of the hydrogen production system is calculated according to the first temperature calculation formula, wherein the expression of the first temperature calculation formula is:

[0129]

[0130] Where T1[t] is the current predetermined temperature, and T[t-1] is the temperature at the previous moment. The heat dissipation temperature coefficient of the hydrogen production system is used to represent the temperature drop per simulation step after the hydrogen production system stops operating. The efficiency conversion coefficient of the auxiliary heating system;

[0131] The current operating temperature of the hydrogen production system is calculated based on the first temperature discrimination formula, whereby the first temperature discrimination formula is:

[0132]

[0133] Among them, T normal This is the normal operating and stable temperature for the hydrogen production system.

[0134] (2) If the wind power output is not less than the minimum rated power and less than the standard rated power C ALE If so, the wind power output is in the second range.

[0135] In the embodiments of this application, such as Figure 17 As shown, first determine the relationship between the temperature of the hydrogen production system at the previous moment and the minimum temperature during normal operation;

[0136] If the temperature at the previous moment is less than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0137]

[0138] in, This is used to represent the temperature increase per simulation step when the chemical reaction generates heat to heat the electrolyzer during normal operation of the hydrogen production system.

[0139] If the temperature at the previous moment is not less than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0140]

[0141] (3) If the wind power output is not less than the standard rated power, then the wind power output is in the third range.

[0142] In the embodiments of this application, such as Figure 17 As shown, first determine the relationship between the temperature of the hydrogen production system at the previous moment and the minimum and maximum temperatures during normal operation;

[0143] If the temperature at the previous moment was lower than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0144]

[0145] If the temperature at the previous moment was not less than the minimum temperature and was less than the maximum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0146]

[0147]

[0148] Among them, P maxin[t] represents the maximum input power of the hydrogen production system at time t, where T is the maximum input power of the hydrogen production system. overload T is the maximum permissible temperature for the hydrogen production system under overload operation. max C is the maximum temperature at which the hydrogen production system operates normally. ALE This is the standard rated power of the hydrogen production system. This refers to the maximum overload time of the hydrogen production system. This is the minimum power threshold coefficient for the hydrogen production system;

[0149] If the temperature at the previous moment was not less than the maximum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are:

[0150]

[0151] It should be noted that the maximum input power of the hydrogen production system at time t is:

[0152]

[0153] in, This is the maximum power threshold coefficient for the hydrogen production system.

[0154] Step 103: Based on the current operating temperature of the hydrogen production system, the correlation between the current actual power consumption and the hydrogen production, determine the total hydrogen production and total power consumption of the hydrogen production system within a preset time.

[0155] In related technologies, there is a relationship curve between power consumption and hydrogen production for any temperature. Based on the relationship curve, the hydrogen production over a certain period of time can be obtained. Similarly, given the power consumption, the total power consumption over a certain period of time can be easily obtained, as shown in Table 2 in step 101. The total hydrogen production and total power consumption are calculated over a period of 30 days.

[0156] Step 104: Determine the total operating revenue of the hydrogen production system based on the total hydrogen production and total power consumption.

[0157] In this embodiment of the application, the total operating revenue is obtained through an economic benefit model, which is formulated as follows:

[0158]

[0159] Among them, C total For total operating revenue, For total hydrogen production, W is the unit price of hydrogen. e For the total power consumption, c e This refers to the electricity price.

[0160] In this embodiment of the application, taking Table 2 as an example, the total electricity expenditure and total revenue from hydrogen sales over 30 days are calculated, thereby calculating the total revenue of the hydrogen production system.

[0161] It is understandable that the total revenue calculated based on the economic benefit model is the total revenue from the operation of the hydrogen production system. The total revenue of the entire wind power hydrogen production system also needs to take into account the construction cost of the wind turbine and the cost of each piece of equipment in the hydrogen production system, which depends on the actual situation.

[0162] This application proposes adding a heating device to existing alkaline electrolyzer equipment to utilize the power of abandoned wind to heat and maintain the alkaline electrolyzer. Furthermore, this application proposes a method for wind power-to-hydrogen systems based on dedicated power supply, which, under the condition of having the alkaline electrolyzer shutdown and heat preservation function, allows for quantitative analysis of the system's economics under different input or control strategies. This improves the ability to absorb wind power, reduces the system's electricity costs, and enhances the economic efficiency of system operation.

[0163] Figure 18 This is a block diagram of an economic analysis device 200 for a wind power hydrogen production system based on a dedicated power supply mode, according to an embodiment of this application, comprising:

[0164] The judgment module 210 is used to input the preset wind power output into the hydrogen production system, judge the relationship between the wind power output and the minimum rated power, standard rated power and maximum rated power of the hydrogen production system, and determine the range of the wind power output.

[0165] The classification calculation module 220 is used to determine the current actual power consumption and current operating temperature of the hydrogen production system based on the wind power output power in different ranges.

[0166] The output module 230 is used to determine the total hydrogen production and total power consumption of the hydrogen production system within a preset time based on the current operating temperature of the hydrogen production system, the correlation between the current actual power consumption and the hydrogen production.

[0167] The economic calculation module 240 is used to determine the total operating revenue of the hydrogen production system based on the total hydrogen production and total power consumption.

[0168] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0169] Figure 19A schematic block diagram of an example electronic device 700 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar analytics devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0170] like Figure 19 As shown, device 700 includes a computing unit 701, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 702 or a computer program loaded from storage unit 708 into random access memory (RAM) 703. RAM 703 may also store various programs and data required for the operation of device 700. The computing unit 701, ROM 702, and RAM 703 are interconnected via bus 704. Input / output (I / O) interface 705 is also connected to bus 704.

[0171] Multiple components in device 700 are connected to I / O interface 705, including: input unit 706, such as keyboard, mouse, etc.; output unit 707, such as various types of monitors, speakers, etc.; storage unit 708, such as disk, optical disk, etc.; and communication unit 709, such as network card, modem, wireless transceiver, etc. Communication unit 709 allows device 700 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0172] The computing unit 701 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 701 performs the various methods and processes described above, such as the voice command response method. For example, in some embodiments, the voice command response method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 708. In some embodiments, part or all of the computer program may be loaded and / or installed on device 700 via ROM 702 and / or communication unit 709. When the computer program is loaded into RAM 703 and executed by the computing unit 701, one or more steps of the voice command response method described above may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to perform the voice command response method by any other suitable means (e.g., by means of firmware).

[0173] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0174] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0175] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0176] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0177] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), the Internet, and blockchain networks.

[0178] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0179] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this disclosure can be achieved, and this is not limited herein.

[0180] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. An economic analysis method for wind power-to-hydrogen systems based on dedicated power supply mode, characterized in that, The wind-powered hydrogen production system includes a heating device. This heating device is used to heat the alkaline solution using the wind power output during a shutdown of the hydrogen production system due to insufficient power generated by the wind power system, thereby maintaining the temperature of the electrolyzer within a preset temperature range. The method includes: The preset wind power output is fed into the hydrogen production system. The relationship between the wind power output and the minimum rated power and standard rated power of the hydrogen production system is determined. If the wind power output is less than the minimum rated power, the wind power output is in the first interval; if the wind power output is not less than the minimum rated power and less than the standard rated power, the wind power output is in the second interval; if the wind power output is not less than the standard rated power, the wind power output is in the third interval. Based on the wind power output power in different ranges, determine the current actual power consumption and current operating temperature of the hydrogen production system; wherein, if the wind power output power is in the first range, determining the current actual power consumption and current operating temperature of the hydrogen production system includes: The current actual power consumption of the hydrogen production system is calculated according to the first power discrimination formula, wherein the first power discrimination formula is: In the formula, This represents the actual power consumed at the current time t. The rated power of the heating device, The wind power output power; The current predetermined temperature of the hydrogen production system is calculated according to the first temperature calculation formula, wherein the expression of the first temperature calculation formula is: in, For the current predetermined temperature, The temperature at the previous moment. The heat dissipation temperature coefficient of the hydrogen production system is used to represent the temperature decrease per simulation step after the hydrogen production system stops working. The efficiency conversion coefficient of the auxiliary heating system; The current operating temperature of the hydrogen production system is calculated according to the first temperature discrimination formula, wherein the first temperature discrimination formula is: in, This refers to the normal operating and stable temperature of the hydrogen production system. Based on the current operating temperature of the hydrogen production system, the correlation between the current actual power consumption and the hydrogen production, determine the total hydrogen production and total power consumption of the hydrogen production system within a preset time. The total operating revenue of the hydrogen production system is determined based on the total hydrogen production and total electricity consumption.

2. The method according to claim 1, characterized in that, Before feeding the preset wind power output into the hydrogen production system, the system further includes: Using the Weibull distribution as the wind speed probability density function, a random wind speed sequence is generated, which can be formulated as follows: Where x is the wind speed value, k is the shape parameter used to determine the shape of the wind speed distribution, and c is the scale parameter used to determine the scale of the wind speed distribution; The wind energy captured by the wind turbine is calculated based on the wind energy estimation formula, and the wind energy generated by the wind turbine is determined based on the turbine's own parameters. The wind energy estimation formula is as follows: in, For mechanical power, Let A be the air density and A be the area covered by the fan blades. For wind speed, The wind energy utilization coefficient of the wind turbine; Select a random sequence of wind speeds that meets preset conditions and generate wind energy to obtain the wind power output.

3. The method according to claim 2, characterized in that, If the wind power output is in the second range, determining the current actual power consumption and current operating temperature of the hydrogen production system includes: Determine the relationship between the temperature of the hydrogen production system at the previous moment and the minimum temperature during normal operation; If the temperature at the previous moment is less than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are: in, This is used to represent the temperature increase per simulation step when the chemical reaction generates heat to heat the electrolyzer during normal operation of the hydrogen production system. If the temperature at the previous moment is not less than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are: 。 4. The method according to claim 3, characterized in that, If the wind power output is in the third range, determining the current actual power consumption and current operating temperature of the hydrogen production system includes: Determine the relationship between the temperature of the hydrogen production system at the previous moment and the minimum and maximum temperatures during normal operation. If the temperature at the previous moment is less than the minimum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are: If the temperature at the previous moment was not less than the minimum temperature and less than the maximum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are: in, Let be the maximum input power of the hydrogen production system at time t. This refers to the maximum permissible temperature when the hydrogen production system is under overload. This is the maximum temperature at which the hydrogen production system operates normally. The standard rated power of the hydrogen production system, This refers to the maximum overload time of the hydrogen production system. This is the minimum power threshold coefficient of the hydrogen production system; If the temperature at the previous moment is not less than the maximum temperature, then the current actual power consumption and current operating temperature of the hydrogen production system are: 。 5. The method according to claim 4, characterized in that, The maximum input power of the hydrogen production system at time t is: in, This is the maximum power threshold coefficient of the hydrogen production system.

6. The method according to claim 1, characterized in that, The determination of the total operating revenue of the hydrogen production system based on the total hydrogen production and total power consumption includes: The total operating revenue is obtained from the economic benefit model and can be formulated as follows: in, For the total operating revenue, The total hydrogen production is [amount]. This refers to the unit price of hydrogen. The total power consumption is... This refers to the electricity price.

7. An economic analysis device for a wind power hydrogen production system based on a dedicated power supply mode, characterized in that, The wind power hydrogen production system includes a heating device, which is used to heat the alkaline solution using the wind power output during a shutdown of the hydrogen production system due to insufficient power generated by the wind power system, thereby maintaining the temperature of the electrolyzer within a preset temperature range. The economic analysis device includes: The judgment module is used to input the preset wind power output into the hydrogen production system and judge the relationship between the wind power output and the minimum rated power, standard rated power and maximum rated power of the hydrogen production system. If the wind power output is less than the minimum rated power, the wind power output is in the first interval; if the wind power output is not less than the minimum rated power and less than the standard rated power, the wind power output is in the second interval; if the wind power output is not less than the standard rated power, the wind power output is in the third interval. The classification calculation module is used to determine the current actual power consumption and current operating temperature of the hydrogen production system based on the wind power output power in different intervals; wherein, if the wind power output power is in a first interval, determining the current actual power consumption and current operating temperature of the hydrogen production system includes: The current actual power consumption of the hydrogen production system is calculated according to the first power discrimination formula, wherein the first power discrimination formula is: In the formula, This represents the actual power consumed at the current time t. The rated power of the heating device, The wind power output power; The current predetermined temperature of the hydrogen production system is calculated according to the first temperature calculation formula, wherein the expression of the first temperature calculation formula is: in, For the current predetermined temperature, The temperature at the previous moment. The heat dissipation temperature coefficient of the hydrogen production system is used to represent the temperature decrease per simulation step after the hydrogen production system stops working. The efficiency conversion coefficient of the auxiliary heating system; The current operating temperature of the hydrogen production system is calculated according to the first temperature discrimination formula, wherein the first temperature discrimination formula is: in, This refers to the normal operating and stable temperature of the hydrogen production system. The output module is used to determine the total hydrogen production and total power consumption of the hydrogen production system within a preset time period based on the current operating temperature of the hydrogen production system, the correlation between the current actual power consumption and the hydrogen production. An economic calculation module is used to determine the total operating revenue of the hydrogen production system based on the total hydrogen production and total power consumption.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-6.

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