Novel energy storage equipment multi-machine parallel energy control method and system

Abstract

The invention provides a novel energy storage equipment multi-machine parallel energy control method and system, and relates to the technical field of energy storage control. According to the technical scheme provided by the invention, the switching task is generated by responding to the energy control instructions of the energy storage equipment in different modes, the estimated duration is calculated in combination with the operation parameters of the energy storage equipment, then the scheduling moment is generated, and the switching task is issued to the energy storage equipment at the proper scheduling moment to be executed. Therefore, the energy storage devices in different modes can be accurately scheduled according to the respective operation characteristics, and the corresponding switching operation is synchronously executed, so that the parallel synchronous control of a plurality of energy storage devices can be realized, and the energy storage requirement of a user on the mass parallel access of the multi-mode energy storage devices is met.

Description

Technical Field

[0001] This application relates to the technical field of energy storage control, and particularly to a multi-machine parallel energy control method and system for a new type of energy storage equipment. Background Art

[0002] As an energy conversion and storage device, energy storage equipment can achieve bidirectional power flow and has functions such as peak shaving, valley filling, and demand-side response. With the continuous development of new energy power generation and energy storage technologies, the multi-modal collaborative application of energy storage equipment with photovoltaic systems, diesel generators, and power grids has become increasingly widespread, which can effectively improve the reliability and economy of power consumption and has become an important choice for industrial and commercial users.

[0003] Currently, the multi-machine parallel energy control of energy storage equipment mainly adopts a centralized control architecture, that is, using an energy management system (EMS) as the primary processor to uniformly coordinate and control, and switching devices as the secondary processor to execute specific switching tasks. Since there is a communication delay between the primary processor and the secondary processor in this architecture, and the delay accumulates with the increase in the number of parallel connections, the coordination control period of the primary processor can only support the parallel synchronous operation of a small number of single-modal energy storage equipment at most, making it difficult to meet the energy storage requirements of users for the large-scale parallel access of multi-modal energy storage equipment. Summary of the Invention

[0004] This application provides a multi-machine parallel energy control method and system for a new type of energy storage equipment, which can achieve parallel synchronous control of multiple energy storage equipment, thereby meeting the energy storage requirements of users for the large-scale parallel access of multi-modal energy storage equipment.

[0005] In a first aspect, this application provides a multi-machine parallel energy control method for a new type of energy storage equipment, the method comprising: Generating a switching task for each of the energy storage equipment in response to an energy control instruction for energy storage equipment of different modes; Obtaining the operating parameters of the energy storage equipment and calculating the estimated duration required for the energy storage equipment to execute the corresponding switching task; Generating a scheduling time for the energy storage equipment to achieve parallel synchronization according to the estimated duration; Sending the switching task to the corresponding energy storage equipment at the scheduling time so that the energy storage equipment executes the switching task.

[0006] By adopting the above technical solution, a switching task is generated in response to the energy control instructions of energy storage equipment of different modes, and the estimated duration is calculated in combination with the operating parameters of the energy storage equipment, and then the scheduling time is generated. The switching task is sent to the energy storage equipment for execution at the appropriate scheduling time. Thus, the energy storage equipment of different modes can be accurately scheduled according to their respective operating characteristics, and the corresponding switching operations can be synchronously executed, so as to realize the parallel synchronous control of multiple energy storage equipment and meet the energy storage requirements of users for a large number of parallel accesses of multi-mode energy storage equipment.

[0007] Optionally, generating the switching tasks of the energy storage equipment in response to the energy control instructions of the energy storage equipment of different modes includes: Obtain the current working state of each energy storage equipment; In response to the energy control instructions of the energy storage equipment of different modes, obtain the target working state that each energy storage equipment needs to switch to; Based on the current working state and the target working state, generate the switching tasks of each energy storage equipment.

[0008] By adopting the above technical solution, the current working state of the energy storage equipment is obtained, and the target working state is obtained in combination with the energy control instructions. The switching task is generated based on the current working state and the target working state, so that the generation process of the switching task fully considers the actual operation of the energy storage equipment, thus ensuring the executability and rationality of the switching task. Since the corresponding relationship between the current state and the target state is considered at the same time when generating the switching task, the state conversion process required by the energy storage equipment of different modes can be accurately identified, avoiding the problem that the switching task does not match the actual working state, and improving the accuracy of the energy storage equipment in executing the switching task.

[0009] Optionally, obtaining the operating parameters of the energy storage equipment and calculating the estimated duration required for the energy storage equipment to execute the corresponding switching task includes: If the energy storage equipment is an energy storage equipment in photovoltaic mode, obtain the photovoltaic power generation power and grid connection parameters of the energy storage equipment, and calculate the estimated duration required for the energy storage equipment to execute the switching task; Or, If the energy storage equipment is an energy storage equipment in energy storage unit mode, obtain the state of charge and power conversion factor of the energy storage equipment, and calculate the estimated duration required for the energy storage equipment to execute the switching task; Or, If the energy storage equipment is an energy storage equipment in diesel generator mode, obtain the starting characteristics and synchronous grid connection parameters of the energy storage equipment, and calculate the estimated duration required for the energy storage equipment to execute the switching task; Or, If the energy storage equipment is in the grid mode, obtain the voltage and frequency parameters on the side of the energy storage equipment, and calculate the estimated duration required for the energy storage equipment to perform the switching task.

[0010] By adopting the above technical solution, the characteristic operating parameters of energy storage equipment in different modes are respectively obtained to calculate the estimated duration. For the energy storage equipment in the photovoltaic mode, the photovoltaic power generation and grid connection parameters are obtained; for the energy storage equipment in the energy storage unit mode, the state of charge and power conversion factors are obtained; for the energy storage equipment in the diesel generator mode, the starting characteristics and synchronous grid connection parameters are obtained; for the energy storage equipment in the grid mode, the voltage and frequency parameters are obtained. Thus, the calculation of the estimated duration fully considers the operating characteristics and switching conditions of various energy storage equipment. Due to the targeted acquisition of the key operating parameters of energy storage equipment in different modes, the calculation result of the estimated duration can accurately reflect the actual time required for the energy storage equipment to perform the switching task, and further provides a reliable time benchmark for the subsequent generation of the scheduling moment, effectively improving the timing coordination and parallel synchronization of the energy storage equipment switching process.

[0011] Optionally, generating the scheduling moment required for the energy storage equipment to achieve parallel synchronization according to the estimated duration includes: Obtain the supply-demand balance state of the system at the current moment, where the supply-demand balance state is the difference between the total load power and the total power generation of the system; According to the supply-demand balance state, calculate the priority weight corresponding to the estimated duration; Use the priority weight to perform weighted processing on the estimated duration to obtain the target estimated duration; According to the target estimated duration, generate the scheduling moment required for the energy storage equipment to achieve parallel synchronization.

[0012] By adopting the above technical solution, a priority weight mechanism based on the supply-demand balance state of the system is introduced when determining the scheduling moment, which can dynamically adjust the switching timing of the energy storage equipment according to the actual supply-demand situation of the system. When the system supply-demand is unbalanced, the scheduling order of the energy storage equipment can be optimized through weight adjustment, thereby improving the response ability and regulation effect of the energy storage system to supply-demand fluctuations.

[0013] Optionally, determining the priority weight corresponding to the estimated duration according to the supply-demand balance state includes: Obtain the rated capacity of each energy storage equipment; If the supply-demand balance state is a power supply shortage state, use the ratio of the supply-demand balance state to the rated capacity as the positive offset, and calculate the priority weight corresponding to the estimated duration; If the supply-demand balance state is a power supply surplus state, then use the ratio of the supply-demand balance state to the rated capacity as a negative offset, and calculate the priority weight corresponding to the estimated duration.

[0014] By adopting the above technical solution, considering that the calculation method of the priority weight is associated with the rated capacity of the energy storage equipment, and different supply-demand balance states are distinguished by positive and negative offsets, it can enable large-capacity energy storage equipment to be preferentially put into use when the power supply is insufficient and to be preferentially withdrawn when the power supply is in surplus, thereby realizing the reasonable allocation of the energy storage equipment scheduling and improving the efficiency and accuracy of the system in adjusting the supply-demand balance.

[0015] Optionally, before sending the switching task to the corresponding energy storage equipment at the scheduling moment to enable the energy storage equipment to execute the switching task, it further includes: Obtain the communication delay with the energy storage equipment; If the communication delay is greater than the preset duration threshold, adjust the scheduling moment corresponding to the energy storage equipment according to the communication delay.

[0016] By adopting the above technical solution, monitoring and compensating the communication delay before sending the switching task can avoid the actual moment of the energy storage equipment executing the switching task deviating from the expected scheduling moment due to communication delay, thereby ensuring the synchronization of the switching process of multiple energy storage equipment.

[0017] Optionally, after sending the switching task to the corresponding energy storage equipment at the scheduling moment to enable the energy storage equipment to execute the switching task, it further includes: Obtain the actual switching duration of the energy storage equipment executing the switching task; Correct the estimated duration according to the actual switching duration.

[0018] By adopting the above technical solution, a feedback correction mechanism based on actual operation data is established, which can dynamically adjust the calculation result of the estimated duration according to the actual switching performance of the energy storage equipment, thereby improving the accuracy of the estimated duration of subsequent switching tasks and further optimizing the scheduling timing of the energy storage equipment.

[0019] In a second aspect, the present application provides a multi-machine parallel energy control system for a new type of energy storage equipment, and the system includes: A receiving module, configured to generate a switching task for each energy storage equipment in response to an energy control instruction for different modes of the energy storage equipment; A calculation module, configured to obtain the operating parameters of the energy storage equipment and calculate the estimated duration required for the energy storage equipment to execute the corresponding switching task; A processing module, configured to generate a scheduling moment required for the energy storage equipment to achieve parallel synchronization according to the estimated duration; A scheduling module, configured to send the switching task to the corresponding energy storage equipment at the scheduling moment, so that the energy storage equipment executes the switching task.

[0020] In a third aspect, the present application provides a computer storage medium, which stores multiple instructions, and the instructions are suitable for being loaded and executed by a processor to execute any one of the above methods.

[0021] In a fourth aspect, the present application provides an electronic device, including a processor, a memory, and a transceiver. The memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that the electronic device executes any one of the above methods.

[0022] In summary, the beneficial effects brought by the technical solution of the present application include: By adopting the above technical solution, a switching task is generated in response to the energy control instructions of energy storage equipment in different modes, and the estimated duration is calculated in combination with the operating parameters of the energy storage equipment, and then the scheduling moment is generated. The switching task is sent to the energy storage equipment for execution at the appropriate scheduling moment. Thus, the energy storage equipment in different modes can be accurately scheduled according to their respective operating characteristics, and the corresponding switching operations can be synchronously executed, so as to realize the parallel synchronous control of multiple energy storage equipment and meet the energy storage requirements of users for a large number of parallel accesses of multi-modal energy storage equipment. Description of the Drawings

[0023] Figure 1 is a schematic flowchart of a multi-machine parallel energy control method for a new type of energy storage equipment according to an embodiment of the present application; Figure 2 is a schematic structural diagram of a multi-machine parallel energy control system for a new type of energy storage equipment according to an embodiment of the present application; Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0024] Description of the reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. Detailed Embodiments

[0025] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0026] In the description of the embodiments of the present application, words such as "exemplary", "for example", or "for illustration" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary", "for example", or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary", "for example", or "for illustration" is intended to present relevant concepts in a specific manner.

[0027] In the description of the embodiments of the present application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "comprise", "include", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0028] Please refer to Figure 1 , which is a schematic flowchart of a multi-machine parallel energy control method for a new type of energy storage equipment provided by the embodiments of the present application. This method can be implemented depending on a computer program, can be implemented depending on a single-chip microcomputer, or can run on a multi-machine parallel energy control system for a new type of energy storage equipment based on the von Neumann architecture. This computer program can be integrated into an application or can run as an independent tool-type application. The following will elaborate on the specific steps of the multi-machine parallel energy control method for the new type of energy storage equipment.

[0029] It should be understood that the technical solution provided by the present application is applied to a multi-machine parallel energy control system for a new type of energy storage equipment. The system includes a first processing unit and a second processing unit. The first processor can be a DSP, and the second processor can be an FPGA. The energy storage equipment is respectively connected to the DPS and the FPGA. Among them, the DSP is mainly used to implement the control and execution of the energy storage equipment, and the FPGA is rented for the scheduling and synchronization of the energy storage equipment. Adopting the control method of the DSP+FPGA combination can simplify the processor hierarchy compared with the related technology where the first-level processor manages multiple second-level processors, thereby realizing multi-machine parallel synchronization.

[0030] S101: Generate switching tasks for each energy storage equipment in response to energy control instructions for energy storage equipment in different modes.

[0031] Among them, the energy control instruction refers to a control command used to control and adjust the working state of the energy storage equipment. In the embodiments of the present application, it can be understood as relevant instructions such as working mode switching, energy regulation, and parallel control sent by the system to the energy storage equipment according to the actual operation requirements of the energy storage equipment, for realizing functions such as grid-connected / off-grid switching, charge / discharge state adjustment, power output control, and multi-machine parallel synchronous operation of the energy storage equipment, so as to ensure the supply-demand balance and stable operation of the system.

[0032] Among them, the switching task refers to a specific operation sequence that the energy storage equipment needs to execute according to the energy control instruction. In the embodiments of the present application, it can be understood as a set of execution instructions for a series of state conversions and parameter regulations generated based on the current working state and the target working state of the energy storage equipment, for guiding the energy storage equipment to complete the conversion process from the current state to the target state and realizing the smooth switching of the energy storage equipment between different operation modes.

[0033] In the embodiment, since energy storage equipment in different modes (such as photovoltaic mode, energy storage unit mode, diesel generator mode, grid mode, etc.) has different working characteristics and control requirements, the system needs to obtain the target working state to be switched for each energy storage equipment according to the energy control instruction. After obtaining the current working state and the target working state, the system generates a switching task including specific operation steps based on the difference between these two states, and this task clearly defines the control action sequence that the energy storage equipment needs to execute to transition from the current state to the target state.

[0034] Based on the above embodiments, as an optional implementation manner, the generating steps of the switching task specifically further include steps S201 - S203.

[0035] S201: Obtain the current working state of each energy storage equipment.

[0036] Among them, the current working state refers to a set of real-time operation state parameters of the energy storage equipment when receiving the energy control instruction. In the embodiments of the present application, it can be understood as key parameters reflecting the instant operation characteristics of the energy storage equipment such as the current grid-connected / off-grid mode, charge / discharge state, power output level, voltage frequency parameter, state of charge (SOC), etc., which are used as the reference condition for generating the switching task and provide an initial reference value for the system to calculate the conversion path from the current state to the target state.

[0037] Specifically, after the system responds to the energy control instruction, it immediately reads the grid-connected parameters and photovoltaic power generation of the photovoltaic mode energy storage equipment, the state of charge and power conversion factor of the energy storage unit mode energy storage equipment, the starting characteristics and synchronous grid-connected parameters of the diesel generator mode energy storage equipment, the voltage and frequency parameters of the grid mode energy storage equipment, and other operating data. This instruction-triggered state acquisition mechanism enables the system to accurately know the exact operating state of the energy storage equipment when receiving the control instruction.

[0038] S202: In response to the energy control instruction for energy storage equipment in different modes, obtain the target operating states that each energy storage equipment needs to switch to.

[0039] Among them, the target operating state refers to the specific operating states that different mode energy storage equipment need to reach based on the received energy control instruction. In the embodiments of the present application, it can be understood as the target grid-connected state and power generation power level that the photovoltaic mode energy storage equipment needs to reach, the target charge and discharge state and power output level that the energy storage unit mode energy storage equipment needs to reach, the target start-stop state and output power that the diesel generator mode energy storage equipment needs to reach, the target power supply state and power quality parameters that the grid mode energy storage equipment needs to reach, and other mode-specific operating requirements.

[0040] Specifically, the system first analyzes the energy regulation requirements included in the energy control instruction. Since different mode energy storage equipment has different operating characteristics and control requirements, the system needs to convert the energy control instruction into corresponding target state parameters according to the characteristics of each mode energy storage equipment. Through the instruction analysis module, the system identifies the key state information such as the target grid-connected state, target power level, and target operating parameters that each energy storage equipment needs to reach under this energy control instruction. This instruction analysis method based on mode characteristics enables the system to convert the unified energy control instruction into specific target operating state requirements for each energy storage equipment, providing a clear target reference for generating switching tasks in the subsequent process.

[0041] S203: Based on the current operating state and the target operating state, generate switching tasks for each energy storage equipment.

[0042] Specifically, the system first analyzes the differences between the current operating state and the target operating state of each energy storage equipment, including the change requirements of key state parameters such as the grid-connected state, power level, and operating parameters. Based on these state differences, the system combines the mode characteristics and switching constraints of each energy storage equipment to plan the corresponding sequence of switching steps, generating switching tasks that include switching paths, execution timings, and control parameters. Through this task generation method based on state differences, the system can formulate a reasonable state conversion plan for each energy storage equipment, ensuring that the state switching process meets the equipment operation constraints and avoiding unstable or faulty states during the switching process.

[0043] S102: Obtain the operating parameters of the energy storage equipment and calculate the estimated duration required for the energy storage equipment to perform the corresponding switching task.

[0044] Among them, the operating parameters of the energy storage equipment refer to the set of physical quantities characterizing the real-time operating characteristics of the energy storage equipment. In the embodiments of the present application, it can be understood as measurable indicators reflecting the key working characteristics of the energy storage equipment such as grid connection status, power level, voltage frequency, and operating mode, and are used to monitor and evaluate the operating status of the energy storage equipment in real time.

[0045] Among them, the estimated duration refers to the expected time period required for the energy storage equipment to complete the state switching. In the embodiments of the present application, it can be understood as the time estimate value required to switch from the current state to the target state calculated based on the modal characteristics, current working state, target working state, and historical switching data of the energy storage equipment, and is used to plan the execution timing of the switching task.

[0046] Specifically, the system first obtains the operating parameters of the energy storage equipment such as grid connection status, power level, voltage frequency, and operating mode through real-time monitoring, and these parameters reflect the current working characteristics of the energy storage equipment. Then, based on the obtained operating parameters, the system calculates by combining the modal characteristics of the energy storage equipment, historical switching data, and the degree of difference between the current working state and the target working state. The greater the degree of difference, the longer the required estimated duration. For the switching of the power level, the system calculates the required time according to the power change amount and the rated power change rate of the energy storage equipment; for the switching of the grid connection status, the system determines the estimated duration according to the start-stop characteristics of the energy storage equipment; for the switching of the operating mode, the system determines the corresponding time requirement according to the complexity of the mode conversion.

[0047] Based on the above embodiments, as an alternative implementation manner, for energy storage equipment of different modes, the following methods can be specifically used to calculate its corresponding estimated duration.

[0048] If the energy storage equipment is a photovoltaic-mode energy storage equipment, obtain the photovoltaic power generation power and grid connection parameters of the energy storage equipment, and calculate the estimated duration required for the energy storage equipment to perform the switching task; Specifically, the system collects the photovoltaic power generation of the photovoltaic energy storage equipment, including power generation parameters such as the current output power and the maximum power generation, and at the same time obtains grid connection parameters such as grid connection voltage, grid connection frequency, and power factor. These parameters reflect the real-time working state of the photovoltaic energy storage equipment. Based on the obtained photovoltaic power generation and grid connection parameters, the system calculates the estimated time required for the photovoltaic energy storage equipment to switch from the current state to the target state, taking into account the adjustment time of the power generation, the adjustment time of the grid connection parameters, and the relevant protection delay. For example, when the power generation needs to be adjusted, the system calculates the required time according to the difference between the target power and the current power, combined with the power adjustment characteristics of the photovoltaic inverter; when the grid connection state needs to be changed, the system determines the switching duration according to the adjustment range of the grid connection parameters and the grid connection characteristics of the photovoltaic energy storage equipment.

[0049] If the energy storage equipment is an energy storage equipment in the energy storage unit mode, the state of charge and power conversion factor of the energy storage equipment are obtained, and the estimated time required for the energy storage equipment to perform the switching task is calculated; Specifically, the system collects the state of charge of the energy storage unit, including power parameters such as the current charge and the remaining available capacity, and at the same time obtains power conversion factors such as charge and discharge efficiency and power conversion rate. These parameters reflect the real-time working ability of the energy storage unit. Based on the obtained state of charge and power conversion factors, the system calculates the estimated time required for the energy storage unit to switch from the current state to the target state, taking into account the power adjustment time, the power conversion time, and the relevant protection delay. For example, when the output power needs to be adjusted, the system calculates the required time according to the difference between the target power and the current power, combined with the power conversion rate; when the working mode needs to be changed, the system determines the switching duration according to the state of charge and the power conversion efficiency.

[0050] If the energy storage equipment is an energy storage equipment in the diesel generator mode, the starting characteristics and synchronous grid connection parameters of the energy storage equipment are obtained, and the estimated time required for the energy storage equipment to perform the switching task is calculated; Specifically, the system collects the starting characteristics of the diesel generator, including starting parameters such as cold start time, hot start time, and speed-up characteristics, and at the same time obtains synchronous grid connection parameters such as voltage amplitude, phase angle, and frequency. These parameters reflect the operating state of the diesel generator. Based on the obtained starting characteristics and synchronous grid connection parameters, the system calculates the estimated time required for the diesel generator to switch from the current state to the target state, taking into account the unit starting time, the electrical parameter adjustment time, the synchronization check time, and the relevant protection delay. For example, when the unit needs to be started, the system calculates the required starting time according to the current working condition by selecting the cold start or hot start time; when grid connection operation is required, the system determines the grid connection duration according to the adjustment range of the synchronous grid connection parameters and the synchronization check requirements.

[0051] If the energy storage equipment is the energy storage equipment in the grid mode, obtain the voltage and frequency parameters on the energy storage equipment side, and calculate the estimated duration required for the energy storage equipment to execute the switching task.

[0052] Specifically, the system collects the voltage parameters on the grid side, including voltage characteristics such as voltage amplitude, phase sequence, and waveform quality, and at the same time obtains frequency parameters such as frequency and frequency change rate. These parameters reflect the real-time power supply quality of the grid. Based on the obtained voltage and frequency parameters, the system calculates the estimated duration required for the grid-mode energy storage equipment to switch from the current state to the target state, taking into account the voltage regulation time, frequency adjustment time, and related protection delays. For example, when adjusting the power supply voltage, the system calculates the required time according to the difference between the target voltage and the current voltage and the voltage regulation characteristics; when changing the operating state, the system determines the switching duration according to the stability requirements of the frequency parameters.

[0053] S103: Generate the scheduling time for the energy storage equipment to achieve parallel synchronization according to the estimated duration.

[0054] Among them, the scheduling time refers to the specific time point when the system sends the switching task instruction to each energy storage equipment. In the embodiments of the present application, it can be understood that, after considering the estimated execution durations of the switching tasks of different energy storage equipment, the task issuing time node determined for realizing the parallel synchronization of multiple energy storage equipment. It is used to coordinate the switching process of different-mode energy storage equipment, so that each energy storage equipment can complete the state switching according to the preset time sequence after receiving the switching task instruction, and finally achieve parallel synchronous operation at the target time.

[0055] Specifically, in the multi-machine parallel system of energy storage equipment, due to the differences in the estimated durations required for different-mode energy storage equipment to execute switching tasks, if the switching tasks are directly sent without considering these differences, it will cause the energy storage equipment to be unable to achieve parallel synchronization at the target time. To solve this problem, the system first sets a target parallel synchronization time, which is the time point when all energy storage equipment needs to complete the switching task and achieve parallel synchronization. Then, for each energy storage equipment, its corresponding scheduling time is obtained by subtracting the estimated duration of this energy storage equipment from the target parallel synchronization time. In this way, the energy storage equipment with a longer estimated duration will obtain an earlier scheduling time, while the energy storage equipment with a shorter estimated duration will obtain a relatively later scheduling time, so that all energy storage equipment can complete the switching task synchronously at the target parallel synchronization time.

[0056] Based on the above embodiments, as an alternative implementation manner, step S103 specifically further includes S301-S304.

[0057] S301: Obtain the supply-demand balance state of the system at the current moment, and the supply-demand balance state is the difference between the total load power and the total power generation power of the system.

[0058] The supply-demand balance state refers to the difference state between the total load power and the total power generation in a multi-machine parallel system of energy storage equipment. In the embodiments of the present application, it can be understood that in a multi-machine parallel system of energy storage equipment, the switching tasks of different energy storage equipment will affect the energy balance of the system. If the switching task scheduling is carried out without considering the current supply-demand state of the system, it may exacerbate the imbalance between energy supply and demand in the system. To solve this problem, the present application obtains the power data of all electrical loads in the system in real time, and obtains the real-time energy state of the system by calculating the difference between the total load power and the total power generation. When the difference is positive, it indicates that the system is in a power shortage state, and when the difference is negative, it indicates that the system is in a power surplus state. It is used to reflect the current energy supply-demand situation of the system.

[0059] S302: Calculate the priority weight corresponding to the estimated duration according to the supply-demand balance state.

[0060] Among them, the priority weight refers to a quantitative index of the priority degree of the energy storage equipment switching task based on the switching mode of the energy storage equipment and the supply-demand balance state of the system. In the embodiments of the present application, it can be understood as a value obtained by matching and calculating the switching mode of the energy storage equipment with the supply-demand balance state of the system, and this value reflects the impact degree of the energy storage equipment performing the switching task on the supply-demand balance of the system.

[0061] In this embodiment, the priority weight corresponding to the estimated duration is calculated according to the supply-demand balance state. In a multi-machine parallel system of energy storage equipment, the present application first judges the supply-demand balance state of the system: when the supply-demand balance state is positive, it indicates that the total load power of the system is greater than the total power generation, and the system is in a power shortage state; when the supply-demand balance state is negative, it indicates that the total load power of the system is less than the total power generation, and the system is in a power surplus state. In the power shortage state, a higher priority weight is given to the switching mode that can increase the power generation, and a lower priority weight is given to the switching mode that reduces the power generation; in the power surplus state, a higher priority weight is given to the switching mode that can reduce the power generation, and a lower priority weight is given to the switching mode that increases the power generation.

[0062] On the basis of the above embodiments, as an optional implementation manner, obtain the rated capacity of each energy storage equipment; If the supply-demand balance state is a power shortage state, then use the ratio of the supply-demand balance state to the rated capacity as the positive offset, and calculate the priority weight corresponding to the estimated duration; If the supply-demand balance state is a power surplus state, then use the ratio of the supply-demand balance state to the rated capacity as the negative offset, and calculate the priority weight corresponding to the estimated duration.

[0063] Among them, the rated capacity refers to the maximum energy value that the energy storage equipment can store and release under normal working conditions. In the embodiments of the present application, it can be understood as the nominal capacity or design capacity of the energy storage equipment, and this capacity reflects the maximum energy support that the energy storage equipment can provide when operating in parallel.

[0064] Obtain the rated capacity of each energy storage equipment, and calculate the priority weight according to the supply-demand balance state. In a multi-machine parallel system of energy storage equipment, the rated capacities of different energy storage equipment are different, and their abilities to participate in the supply-demand regulation of the system are also different. If the scheduling is carried out without considering the rated capacity of the energy storage equipment, the supply-demand regulation effect may not be ideal. To solve this problem, the present application first obtains the rated capacity of each energy storage equipment in the system. When the system is in a power shortage state (that is, the supply-demand balance state is positive), the ratio of the supply-demand balance state to the rated capacity of the energy storage equipment is used as the positive offset, and this ratio reflects the ability of the energy storage equipment to participate in the power shortage regulation; when the system is in a power surplus state (that is, the supply-demand balance state is negative), the ratio of the supply-demand balance state to the rated capacity of the energy storage equipment is used as the negative offset, and this ratio reflects the ability of the energy storage equipment to participate in the power surplus regulation. By using the ratio of the supply-demand balance state to the rated capacity as the offset to calculate the priority weight, the estimated duration can be reasonably adjusted according to the actual regulation ability of the energy storage equipment.

[0065] S303: Perform weighted processing on the estimated duration using the priority weight to obtain the target estimated duration.

[0066] Among them, the target estimated duration refers to the corrected duration calculated according to the estimated duration and priority weight of the energy storage equipment. In the embodiments of the present application, it can be understood as the new duration value obtained by performing weighted calculation on the original estimated duration of the energy storage equipment and its corresponding priority weight. This duration value comprehensively considers the execution time of the energy storage equipment switching task and the impact on the system supply-demand balance. It is used to dynamically adjust the estimated duration of the energy storage equipment and serves as the time reference for determining the final scheduling moment of the energy storage equipment, so as to realize the optimal scheduling of the energy storage equipment switching task.

[0067] In a multi-machine parallel system of energy storage equipment, only considering the estimated duration to determine the scheduling moment cannot guarantee the supply-demand balance of the system, while only considering the priority weight may affect the synchronization of switching tasks. To solve this problem, in this application, the estimated duration of the energy storage equipment is multiplied by its corresponding priority weight to obtain the target estimated duration that comprehensively considers the time factor and the priority factor. Specifically, when the supply-demand balance state of the system is positive (i.e., the load power is greater than the power generation power), a higher priority weight is assigned to the switching mode that can increase the power generation power, so that it obtains a larger target estimated duration; when the supply-demand balance state of the system is negative (i.e., the load power is less than the power generation power), a higher priority weight is assigned to the switching mode that can reduce the power generation power, so that it obtains a larger target estimated duration. By weighted processing to obtain the target estimated duration, it is possible to optimize and adjust the scheduling sequence of different energy storage equipment on the basis of ensuring the synchronization of the switching tasks of the energy storage equipment. S304: Generate the scheduling moment required for the energy storage equipment to achieve parallel synchronization according to the target estimated duration.

[0068] In this embodiment, this application uses the current moment as the reference moment, takes the target parallel moment as the end point, and calculates the target estimated duration backward from the target parallel moment to obtain the scheduling moment of the energy storage equipment. Since the target estimated duration has comprehensively considered the execution time of the switching tasks of the energy storage equipment and the supply-demand balance state of the system, the generated scheduling moment can not only ensure that the switching process of the energy storage equipment meets the parallel synchronization requirements, but also ensure the smooth transition of the supply-demand state of the system during the switching process. Specifically, according to the magnitude of the target estimated duration of the energy storage equipment, determine its scheduling order in the time series. The scheduling moment of the energy storage equipment with a larger target estimated duration needs to be advanced to ensure that there is enough time to complete the switching process; the scheduling moment of the energy storage equipment with a smaller target estimated duration is relatively lagged, so as to ensure that all energy storage equipment can achieve parallel synchronization at the target moment.

[0069] S104: Send the switching task to the corresponding energy storage equipment at the scheduling moment so that the energy storage equipment can execute the switching task.

[0070] This application sends the switching task information to the corresponding energy storage equipment according to the calculated scheduling moment. The switching task information includes specific operation instructions that the energy storage equipment needs to execute, such as control instructions for voltage regulation and frequency synchronization before grid connection. After receiving the switching task, the energy storage equipment starts to execute the corresponding switching operation according to the instruction requirements and completes various preparatory work before grid connection within the specified time. By accurately issuing the switching task at the scheduling moment, it can ensure that the energy storage equipment performs the switching operation according to the predetermined time sequence, avoid parallel failure caused by chaotic switching time sequence, and thus accurately realize the parallel operation of multiple energy storage equipment.

[0071] Based on the above embodiments, as an alternative implementation, before sending a switching task to the energy storage equipment, the following steps are further included: obtaining the communication delay with the energy storage equipment; if the communication delay is greater than a preset duration threshold, adjusting the corresponding scheduling time of the energy storage equipment according to the communication delay.

[0072] In the actual application scenario of multi-machine parallel energy control of energy storage equipment, due to the physical distance between the energy storage equipment and the control system and data interaction through the communication network, communication delay will inevitably occur. To ensure that the energy storage equipment can accurately execute the switching task at the expected scheduling time, it is necessary to compensate for the communication delay. Specifically, the control system calculates half of the round-trip communication time as the communication delay by sending a time synchronization test command to the energy storage equipment and receiving the response information of the energy storage equipment. When the obtained communication delay is greater than the preset duration threshold (such as 2 ms), it indicates that the current communication network condition may affect the timely delivery of control commands. At this time, it is necessary to adjust the scheduling time in advance. The adjustment method is: advancing the original scheduling time by the communication delay time, that is, the new scheduling time is equal to the original scheduling time minus the communication delay. In this way, the switching task instruction can be sent in advance to compensate for the time required for communication network transmission, so as to ensure that the energy storage equipment can execute the switching task at the desired time. For example, the scheduling time of a certain energy storage equipment was originally set at time t, the measured communication delay is δt, and δt is greater than the preset duration threshold, then the switching task is sent to the energy storage equipment at time t - δt. After the transmission time of δt, the energy storage equipment receives and executes the switching task at time t, achieving the expected scheduling control goal.

[0073] Based on the above embodiments, as an alternative implementation, obtain the actual switching duration for the energy storage equipment to execute the switching task; correct the estimated duration according to the actual switching duration.

[0074] Specifically, in order to improve the accuracy of the estimated duration, an adaptive correction mechanism needs to be established. Specifically, during the process of the energy storage equipment executing the switching task, the control system collects the working state parameters of the energy storage equipment in real time, records the time interval from receiving the switching task instruction to completing the state switching, and uses this time interval as the actual switching duration. For energy storage equipment in different modes, the acquisition methods of their state parameters are also different: in the photovoltaic mode, it mainly monitors the moment when the grid-connected point voltage frequency parameter reaches the target value; in the energy storage unit mode, it focuses on the moment when the charge-discharge power reaches the set value; in the diesel generator mode, it monitors the moment when the rotational speed and output voltage reach the rated value; in the grid mode, it mainly focuses on the moment when the switch is closed and the voltage frequency meets the grid connection conditions. After obtaining the actual switching duration, the estimated duration is corrected by using the method of sliding weighted average, that is, the new estimated duration is equal to the weighted sum of the historical estimated duration and the actual switching duration, where the weight of the actual switching duration increases with the increase of the sampling times, so that the estimated duration can gradually approach the actual switching characteristics.

[0075] The following is an embodiment of the system of the present application, which can be used to execute the method embodiment of the present application. For the details not disclosed in the system embodiment of the present application, please refer to the method embodiment of the application.

[0076] Please refer to Figure 2 , which shows a schematic structural diagram of a multi-machine parallel energy control system for a new type of energy storage equipment provided by an exemplary embodiment of the present application. This system can be implemented as all or part of the system through software, hardware, or a combination of both. The multi-machine parallel energy control system for a new type of energy storage equipment includes: A receiving module, configured to generate a switching task for each energy storage equipment in response to an energy control instruction for energy storage equipment in different modes; A calculation module, configured to obtain the operating parameters of the energy storage equipment and calculate the estimated duration required for the energy storage equipment to execute the corresponding switching task; A processing module, configured to generate a scheduling moment required for the energy storage equipment to achieve parallel synchronization according to the estimated duration; A scheduling module, configured to send the switching task to the corresponding energy storage equipment at the scheduling moment, so that the energy storage equipment executes the switching task.

[0077] Based on the above embodiment, as an optional embodiment, the receiving module is further configured to obtain the current working state of each energy storage equipment; in response to an energy control instruction for energy storage equipment in different modes, obtain the target working state that each energy storage equipment needs to switch to; and generate a switching task for each energy storage equipment based on the current working state and the target working state.

[0078] Based on the above embodiments, as an alternative embodiment, the calculation module is further configured to, if the energy storage equipment is energy storage equipment in photovoltaic mode, obtain the photovoltaic power generation power and grid connection parameters of the energy storage equipment, and calculate the estimated duration required for the energy storage equipment to execute the switching task; or, if the energy storage equipment is energy storage equipment in energy storage unit mode, obtain the state of charge and power conversion factor of the energy storage equipment, and calculate the estimated duration required for the energy storage equipment to execute the switching task; or, if the energy storage equipment is energy storage equipment in diesel generator mode, obtain the starting characteristics and synchronous grid connection parameters of the energy storage equipment, and calculate the estimated duration required for the energy storage equipment to execute the switching task; or, if the energy storage equipment is energy storage equipment in grid mode, obtain the voltage and frequency parameters on the energy storage equipment side, and calculate the estimated duration required for the energy storage equipment to execute the switching task.

[0079] Based on the above embodiments, as an alternative embodiment, the processing module is further configured to obtain the supply-demand balance state of the system at the current moment, where the supply-demand balance state is the difference between the total load power and the total power generation power of the system; calculate the priority weight corresponding to the estimated duration according to the supply-demand balance state; perform weighted processing on the estimated duration using the priority weight to obtain the target estimated duration; and generate the scheduling moment required for the energy storage equipment to achieve parallel synchronization according to the target estimated duration.

[0080] Based on the above embodiments, as an alternative embodiment, the processing module is further configured to obtain the rated capacity of each energy storage equipment; if the supply-demand balance state is a power supply shortage state, use the ratio of the supply-demand balance state to the rated capacity as a positive offset to calculate the priority weight corresponding to the estimated duration; if the supply-demand balance state is a power supply surplus state, use the ratio of the supply-demand balance state to the rated capacity as a negative offset to calculate the priority weight corresponding to the estimated duration.

[0081] Based on the above embodiments, as an alternative embodiment, the scheduling module is further configured to obtain the communication delay with the energy storage equipment; if the communication delay is greater than the preset duration threshold, adjust the scheduling moment corresponding to the energy storage equipment according to the communication delay.

[0082] Based on the above embodiments, as an alternative embodiment, the scheduling module is further configured to obtain the actual switching duration for the energy storage equipment to execute the switching task; and correct the estimated duration according to the actual switching duration.

[0083] The embodiments of the present application further provide a computer storage medium, which can store multiple instructions. The instructions are suitable for being loaded and executed by a processor to perform the novel energy storage equipment multi-machine parallel energy control method as described in the above embodiments. The specific execution process can refer to the specific description of the embodiments and will not be elaborated here.

[0084] Please refer to Figure 3, a structural schematic diagram of an electronic device is provided for an embodiment of the present application. As Figure 3 shown, the electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0085] Among them, the communication bus 302 is used to realize the connection and communication between these components.

[0086] Among them, the user interface 303 may include a standard wired interface and a wireless interface.

[0087] Among them, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0088] Among them, the processor 301 may include one or more processing cores. The processor 301 connects various parts within the entire server through various interfaces and lines, and by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, as well as calling data stored in the memory 305, it executes various functions of the server and processes data. Optionally, the processor 301 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 301 may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, and application programs, etc.; the GPU is responsible for the rendering and drawing of the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 301 and may be implemented separately through a single chip.

[0089] Among them, the memory 305 may include a Random Access Memory (RAM), or may include a Read-Only Memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area. Among them, the program storage area can store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area can store the data involved in the above-mentioned method embodiments. Optionally, the memory 305 may also be at least one storage device located far from the aforementioned processor 301. As Figure 3 shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for a multi-machine parallel energy control method of a new type of energy storage equipment.

[0090] In Figure 3 the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user to obtain the data input by the user; and the processor 301 can be used to call the application program for a multi-machine parallel energy control method of a new type of energy storage equipment stored in the memory 305. When executed by one or more processors, the electronic device is caused to execute the method as described in one or more of the above embodiments.

[0091] An electronic device-readable storage medium stores instructions. When executed by one or more processors, the electronic device is caused to execute the method as described in one or more of the above embodiments.

[0092] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0093] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0094] In several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some service interfaces. The indirect coupling or communication connection of the device or unit can be in electrical or other forms.

[0095] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0096] In addition, each functional unit in various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0097] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present application. And the aforementioned memory includes: various media such as USB flash drives, mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0098] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will readily think of other implementation schemes of the present disclosure after considering the specification and the disclosure of the practical truth. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure, and these variations, uses, or adaptive changes follow the general principles of the present disclosure and include the common general knowledge or conventional technical means in the technical field not recorded in the present disclosure.

Claims

1. A novel energy storage equipment multi-machine parallel energy control method, characterized in that: The method comprises: In response to energy control instructions for energy storage devices of different modes, generating switching tasks for each of the energy storage devices; Acquire the operating parameters of the energy storage equipment, and calculate the estimated time required for the energy storage equipment to perform the corresponding switching task; Generating, according to the estimated duration, a scheduling time required for the energy storage equipment to achieve parallel synchronization; The switching task is sent to the corresponding energy storage equipment at the scheduling time, so that the energy storage equipment executes the switching task.

2. The method according to claim 1, characterized in that The step of generating a switching task for each of the energy storage devices in response to energy control instructions for energy storage devices of different modes comprises: Obtaining the current working status of each of the energy storage devices; In response to energy control instructions for energy storage devices of different modes, obtaining a target working state to be switched for each of the energy storage devices; Based on the current working state and the target working state, a switching task for each of the energy storage devices is generated.

3. The method according to claim 1, characterized in that The obtaining of the operating parameters of the energy storage equipment and calculating the estimated time required for the energy storage equipment to execute the corresponding switching task includes: If the energy storage equipment is a photovoltaic mode energy storage equipment, the photovoltaic power generation power and grid-connected parameters of the energy storage equipment are obtained, and the estimated time required for the energy storage equipment to perform the switching task is calculated; or, If the energy storage device is an energy storage device in energy storage unit mode, the state of charge and power conversion factor of the energy storage device are obtained, and the estimated time required for the energy storage device to perform the switching task is calculated; or, If the energy storage equipment is a diesel generator mode energy storage equipment, then the startup characteristics and synchronous grid-connected parameters of the energy storage equipment are obtained, and the estimated time required for the energy storage equipment to perform the switching task is calculated; or, If the energy storage equipment is a grid-mode energy storage equipment, the voltage and frequency parameters of the energy storage equipment side are obtained, and the estimated time required for the energy storage equipment to perform the switching task is calculated.

4. The method according to claim 1, characterized in that: Generating the scheduling time required for the energy storage equipment to achieve parallel synchronization according to the estimated duration includes: Obtaining a supply-demand balance state of the system at the current moment, wherein the supply-demand balance state is a difference between a total load power and a total generated power of the system; Calculate the priority weight corresponding to the estimated duration according to the supply and demand balance state; Using the priority weight to perform weighted processing on the estimated duration to obtain a target estimated duration; According to the target estimated duration, the scheduling time required for the energy storage equipment to achieve parallel synchronization is generated.

5. The method according to claim 4, characterized in that Determining the priority weight corresponding to the estimated duration according to the supply-demand balance state includes: Obtaining the rated capacity of each of the energy storage devices; If the supply-demand balance state is an insufficient power supply state, the ratio of the supply-demand balance state to the rated capacity is used as a positive offset to calculate the priority weight corresponding to the estimated duration; If the supply-demand balance state is an overpower state, the ratio of the supply-demand balance state to the rated capacity is used as a negative offset to calculate the priority weight corresponding to the estimated duration.

6. The method according to claim 1, characterized in that Before sending the switching task to the corresponding energy storage equipment at the scheduling time so that the energy storage equipment executes the switching task, the method further includes: Acquire the communication delay with the energy storage equipment; If the communication delay is greater than a preset time threshold, the scheduling time corresponding to the energy storage equipment is adjusted according to the communication delay.

7. The method according to claim 1, characterized in that After sending the switching task to the corresponding energy storage equipment at the scheduling time so that the energy storage equipment executes the switching task, the method further includes: Obtaining the actual switching time of the energy storage equipment performing the switching task; The estimated switching duration is corrected according to the actual switching duration.

8. A new type of energy storage equipment multi-machine parallel energy control system, characterized in that: The system comprises: A receiving module, configured to generate a switching task for each energy storage device in response to energy control instructions for energy storage devices of different modes; A calculation module, used to obtain the operating parameters of the energy storage equipment and calculate the estimated time required for the energy storage equipment to perform the corresponding switching task; A processing module, configured to generate a scheduling time required for the energy storage equipment to achieve parallel synchronization according to the estimated duration; The scheduling module is used to send the switching task to the corresponding energy storage equipment at the scheduling time, so that the energy storage equipment executes the switching task.

9. A computer storage medium, characterized in that The computer storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: It includes a processor, a memory and a transceiver, the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

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