An energy storage system power scheduling method and device, electronic equipment and storage medium

Abstract

The application provides a kind of energy storage system power scheduling method, device, electronic equipment and storage medium, comprising: for the energy storage system each phase, the following processing is executed: according to the energy storage information corresponding to each energy storage unit to be accessed in energy storage unit access combination mode, determine the target maximum output power corresponding to each energy storage unit access combination mode;According to the target maximum output power corresponding to each energy storage unit access combination mode and system demand power, determine a plurality of candidate energy storage unit access combination mode;According to the system level multidimensional control factor corresponding to each candidate energy storage unit access combination mode, determine the optimal energy storage unit access combination mode corresponding to this phase;According to the optimal energy storage unit access combination mode, power scheduling is carried out to this phase.The application determines the optimal access mode corresponding to the energy storage unit in the energy storage system by calculating the output power of the energy storage unit and the multidimensional control factor, to ensure the running state of the energy storage system.

Description

Technical Field

[0001] This application relates to the field of energy storage system control and management technology, and in particular to an energy storage system power scheduling method, device, electronic equipment and storage medium. Background Technology

[0002] In a Modular Multi-level Converter (MMC) energy storage system, the MMC system consists of N control units connected in series. Each control unit consists of energy storage units (batteries / battery packs) connected in parallel with an intelligent controller. Different energy storage units in an MMC system can be cells of different types, capacities, manufacturers, and degradation levels. Although the use of energy storage units can be optimized by controlling the time when the energy storage units are connected to the charging and discharging circuit, so that the energy of each energy storage unit is fully utilized, the inconsistency problem of energy storage units is not fundamentally solved. As the system operates for a longer period of time, this inconsistency will further increase, resulting in a decrease in the system's energy utilization rate.

[0003] Energy storage units exhibit different power states under varying states of charge, temperature, and health conditions. In MMC energy storage systems, the system output power typically depends on the minimum power state of the energy storage units connected to the charge / discharge loop. Traditional energy storage unit control methods primarily determine the energy storage units connected to the charge / discharge loop based on their state of charge or battery voltage. This can lead to situations where, at the end of a charge / discharge cycle or near the end of a unit's lifespan, the connected energy storage units do not meet the system power requirements. Such situations necessitate reduced power operation or even system shutdown commands. In other words, the system lacks flexibility and adaptability in the face of dynamic changes in energy storage unit power states, failing to adjust the connection combination of energy storage units in real time to adapt to changes in system demand. This results in the energy storage system's inability to respond quickly to sudden changes in power demand, thereby reducing system reliability and flexibility. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide at least one power scheduling method, device, electronic device and storage medium for energy storage systems, which determines the optimal access mode for energy storage units in the energy storage system by calculating the output power of the energy storage units and multi-dimensional control factors, thereby ensuring the operating status of the energy storage system.

[0005] This application mainly includes the following aspects:

[0006] In a first aspect, embodiments of this application provide a power scheduling method for an energy storage system. The energy storage system includes at least one phase, and each phase of the energy storage system includes multiple energy storage units. The method includes: for each phase of the energy storage system, performing the following processing: determining the corresponding multiple energy storage unit access combination method based on the total number of corresponding energy storage units and the number of energy storage units to be connected, wherein each energy storage unit access combination method includes multiple energy storage units to be connected; determining the target maximum output power corresponding to each energy storage unit access combination method based on the energy storage information corresponding to each energy storage unit to be connected in the energy storage unit access combination method; and setting the target maximum output power corresponding to each energy storage unit access combination method as follows: The power is compared with the corresponding system demand power, and multiple candidate energy storage unit access combinations are selected based on the comparison results. For each candidate energy storage unit access combination, the system-level multidimensional control factor corresponding to the candidate energy storage unit access combination is determined based on the multidimensional control factor corresponding to each proposed energy storage unit in the candidate energy storage unit access combination. Based on the system-level multidimensional control factor corresponding to each candidate energy storage unit access combination, the corresponding optimal energy storage unit access combination is determined. The multiple proposed energy storage units corresponding to the optimal energy storage unit access combination are connected to the corresponding energy storage loop to achieve power dispatch for that phase.

[0007] In one possible implementation, the energy storage information includes state of charge, temperature, rated capacity, and voltage. The target maximum output power corresponding to each energy storage unit access combination is determined by: determining the target maximum limiting current corresponding to the energy storage unit combination based on the state of charge, temperature, and rated capacity of each proposed energy storage unit in the combination; determining the maximum output power corresponding to each proposed energy storage unit based on its voltage and the target maximum limiting current; and determining the target maximum output power corresponding to the energy storage unit access combination based on the maximum output power of each proposed energy storage unit.

[0008] In one possible implementation, the target maximum limiting current corresponding to each energy storage unit combination is determined as follows: based on the state of charge and current temperature of each proposed energy storage unit in the combination, a charge / discharge rate table is consulted to determine the charge / discharge rate corresponding to each proposed energy storage unit. The charge / discharge rate table records the mapping relationship between the state of charge, temperature, and charge / discharge rate. Based on the charge / discharge rate and rated capacity of each proposed energy storage unit in the combination, the maximum limiting current corresponding to each proposed energy storage unit is determined. The minimum value among the maximum limiting currents corresponding to each proposed energy storage unit in the combination is determined as the target maximum limiting current corresponding to the combination.

[0009] In one possible implementation, the target maximum output power corresponding to each energy storage unit combination is determined by the following method: for each energy storage unit to be connected in the energy storage unit combination, the product between the voltage corresponding to the energy storage unit to be connected and the target maximum limiting current corresponding to the energy storage unit combination is calculated, and the product is determined as the maximum output power corresponding to the energy storage unit to be connected; the sum of the maximum output power corresponding to each energy storage unit to be connected in the energy storage unit combination is calculated, and the sum is determined as the target maximum output power corresponding to the energy storage unit connection combination.

[0010] In one possible implementation, multiple candidate energy storage unit access combinations for each corresponding energy storage system are selected by the following method: For each corresponding energy storage unit access combination, the following processing is performed: if the target maximum output power corresponding to the energy storage unit access combination is greater than or equal to the corresponding system demand power, then the energy storage unit access combination is determined as a candidate energy storage unit access combination; if the target maximum output power corresponding to the energy storage unit access combination is less than the corresponding system demand power, then the energy storage unit access combination is abandoned as a candidate energy storage unit access combination.

[0011] In one possible implementation, the energy storage information further includes health status, energy status, and power status. The system-level multidimensional control factor corresponding to each candidate energy storage unit access combination is determined by: calculating the average temperature of each proposed energy storage unit in the candidate energy storage unit access combination; for each proposed energy storage unit in the candidate energy storage unit access combination, performing a weighted calculation of the health status, energy status, power status, temperature, and average temperature to determine the multidimensional control factor corresponding to the proposed energy storage unit; and calculating the mean of the multidimensional control factors corresponding to each proposed energy storage unit in the candidate energy storage unit access combination to determine the system-level multidimensional control factor corresponding to the candidate energy storage unit access combination.

[0012] In one possible implementation, the optimal energy storage unit access method is determined by: identifying the candidate energy storage unit access combination method corresponding to the minimum system-level multidimensional control factor as the corresponding optimal energy storage unit access combination method.

[0013] Secondly, embodiments of this application also provide a power scheduling device for an energy storage system. The energy storage system includes at least one phase, and each phase of the energy storage system includes multiple energy storage units. The device includes: a first determining module, configured to determine, for each phase of the energy storage system, a combination of multiple energy storage units for access based on the total number of corresponding energy storage units and the number of energy storage units to be accessed, wherein each combination of energy storage units includes multiple energy storage units to be accessed; a second determining module, configured to determine, for each phase of the energy storage system, a target maximum output power corresponding to each energy storage unit access combination based on the energy storage information corresponding to each energy storage unit to be accessed in the combination of energy storage units; and a filtering module, configured to, for each phase of the energy storage system, select the target maximum output power corresponding to each energy storage unit access combination and the corresponding... The system's required power is compared, and multiple candidate energy storage unit access combinations are selected based on the comparison results. The third determination module is used to determine the system-level multidimensional control factor corresponding to each candidate energy storage unit access combination for each phase of the energy storage system, based on the multidimensional control factor corresponding to each proposed energy storage unit in the candidate energy storage unit access combination. The fourth determination module is used to determine the candidate energy storage unit access combination corresponding to the minimum system-level multidimensional control factor as the corresponding optimal energy storage unit access combination for each phase of the energy storage system. The scheduling module is used to connect multiple proposed energy storage units corresponding to the optimal energy storage unit access combination to the corresponding energy storage loop for each phase of the energy storage system, so as to realize power scheduling for that phase.

[0014] Thirdly, embodiments of this application also provide an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus. The machine-readable instructions are executed by the processor to perform the steps of the energy storage system power scheduling method in the first aspect or any possible implementation of the first aspect.

[0015] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the energy storage system power scheduling method in the first aspect or any possible implementation of the first aspect.

[0016] This application provides a power scheduling method, apparatus, electronic device, and storage medium for an energy storage system. The method includes: for each phase of the energy storage system, performing the following processing: determining the target maximum output power corresponding to each proposed energy storage unit access combination based on the energy storage information of each proposed energy storage unit in the energy storage unit access combination method; determining multiple candidate energy storage unit access combination methods based on the target maximum output power of each energy storage unit access combination method and the system demand power; determining the corresponding optimal energy storage unit access combination method based on the system-level multidimensional control factor corresponding to each candidate energy storage unit access combination method; and performing power scheduling for the phase according to the optimal energy storage unit access combination method. This application determines the optimal access method for energy storage units within the energy storage system by calculating the output power of the energy storage units and the multidimensional control factor, thereby ensuring the operational status of the energy storage system.

[0017] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A schematic diagram of an energy storage system structure provided in an embodiment of this application is shown;

[0020] Figure 2 A flowchart of a power scheduling method for an energy storage system provided in an embodiment of this application is shown;

[0021] Figure 3 This application provides a flowchart illustrating how to determine the target maximum output power corresponding to a combination of energy storage units.

[0022] Figure 4 This illustration shows a schematic diagram of a system-level multidimensional control factor determination method provided in an embodiment of this application;

[0023] Figure 5 This paper illustrates a functional block diagram of an energy storage system power dispatching device according to an embodiment of this application;

[0024] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0026] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0027] For MMC energy storage systems, the State of Power (SOP) of multiple energy storage units differs under different SOC, temperature, and SOH conditions. In MMC energy storage systems, the system output power typically depends on the minimum SOP of the energy storage units connected to the charge / discharge loop. Traditional energy storage unit control methods determine which energy storage units are connected to the charge / discharge loop based on SOC or voltage. Therefore, at the end of the charge / discharge cycle or at the end of the energy storage unit's lifespan, the connected energy storage units may not meet the system power requirements, leading to reduced power operation or even a system shutdown command.

[0028] Based on this, embodiments of this application provide a power scheduling method, apparatus, electronic device, and storage medium for an energy storage system. By calculating the output power of the energy storage unit and multi-dimensional control factors, the optimal access method for the energy storage unit within the energy storage system is determined to ensure the operational status of the energy storage system, as detailed below:

[0029] This application provides an energy storage system, which includes at least one phase. Please refer to [link / reference]. Figure 1 , Figure 1 A schematic diagram of an energy storage system structure provided in an embodiment of this application is shown. Figure 1A three-phase energy storage system is provided, including phase A, phase B, and phase C. Each phase of the three-phase energy storage system includes multiple control units connected in series. Each control unit includes an energy storage unit and a control module. The energy storage unit and the control module are connected in parallel. The control modules in each phase of the three-phase energy storage system are connected in series and connected to the corresponding energy storage circuit. The energy storage unit is a single battery cell. The control bridge can be an H-bridge control circuit. The energy storage system also includes a core processing module (not shown in the figure). The core processing module is connected to the control modules in each phase of the energy storage system to realize the on / off control of each energy storage unit in each phase.

[0030] Please see Figure 2 , Figure 2 A flowchart illustrating a power scheduling method for an energy storage system provided in an embodiment of this application is shown. Figure 2 As shown, the method provided in this embodiment of the application is applied to the core processing module, and performs the following steps for each phase of the energy storage system:

[0031] S100. Based on the total number of corresponding energy storage units and the number of energy storage units to be connected, determine the connection combination method of the corresponding multiple energy storage units.

[0032] Each energy storage unit combination access method includes multiple energy storage units to be connected.

[0033] S200. Based on the energy storage information corresponding to each energy storage unit to be connected in the energy storage unit access combination method, determine the target maximum output power corresponding to each energy storage unit access combination method.

[0034] S300. Compare the target maximum output power corresponding to each energy storage unit access combination method with the corresponding system demand power, and select multiple candidate energy storage unit access combination methods based on the comparison results.

[0035] S400. For each candidate energy storage unit access combination method, determine the system-level multidimensional control factor corresponding to the candidate energy storage unit access combination method based on the multidimensional control factor corresponding to each proposed energy storage unit in the candidate energy storage unit access combination method.

[0036] S500. Based on the system-level multidimensional control factor corresponding to each candidate energy storage unit access combination method, determine the corresponding optimal energy storage unit access combination method.

[0037] S600. Connect multiple proposed energy storage units corresponding to the optimal energy storage unit access combination method to the corresponding energy storage circuit to achieve power dispatching for this phase.

[0038] In steps S100 to S600, this application pre-calculates the number of energy storage units to be connected to each corresponding energy storage unit in the energy storage system, as well as the connection combination of multiple energy storage units under the given number of energy storage units, based on the energy storage system requirements and each corresponding energy storage unit in the energy storage system. For each phase of the energy storage system, considering that the power state of the energy storage unit is different under different states of charge, temperature, health status, etc., this application can more accurately determine the optimal connection method of the energy storage unit in the energy storage system by calculating the output power and multi-dimensional control factors corresponding to the energy storage unit, ensuring that the energy storage system can continue to operate at the required operating power while improving the overall operating efficiency of the energy storage system.

[0039] In step S100, for each phase of the energy storage system, the total number of energy storage units Ntotal and the corresponding output demand are obtained. Based on the corresponding output demand and a preset energy storage control algorithm, the number N of energy storage units to be connected that meet the corresponding output demand is determined. Furthermore, by combining the total number of energy storage units Ntotal and the number of energy storage units to be connected N, multiple energy storage unit combination methods can be obtained. Each energy storage unit combination method includes multiple energy storage units to be connected. Through probability theory, the corresponding number of multiple energy storage unit combination methods is determined.

[0040] Energy storage information includes the state of charge, temperature, rated capacity, and voltage of the energy storage unit.

[0041] In a preferred embodiment, please refer to Figure 3 , Figure 3 This document illustrates a flowchart illustrating how to determine the target maximum output power corresponding to a combination of energy storage units, as provided in an embodiment of this application. Figure 3 As shown, in step S200, the target maximum output power corresponding to each energy storage unit's access combination method is determined in the following way:

[0042] S2001. Based on the state of charge, temperature and rated capacity of each energy storage unit to be connected in the energy storage unit combination, determine the target maximum limiting current corresponding to the energy storage unit combination.

[0043] S2002. Based on the voltage and target maximum limiting current of each energy storage unit to be connected in the energy storage unit combination method, determine the maximum output power corresponding to each energy storage unit to be connected.

[0044] S2003. Based on the maximum output power of each energy storage unit to be connected, determine the target maximum output power corresponding to the energy storage unit connection combination method.

[0045] In a preferred embodiment, step S2001 includes:

[0046] Based on the State of Charge (SOC) and current temperature T of each proposed energy storage unit in this energy storage unit combination, the charge / discharge rate table is consulted to determine the charge / discharge rate corresponding to each proposed energy storage unit in this energy storage unit combination. The charge / discharge rate table records the mapping relationship between the State of Charge (SOC), temperature T, and charge / discharge rate (Crate). Based on the charge / discharge rate (Crate) and rated capacity (Q0) of each proposed energy storage unit in this energy storage unit combination, the maximum limiting current (Imax_cells) corresponding to each proposed energy storage unit in this energy storage unit combination is determined. The minimum value among the maximum limiting currents corresponding to each proposed energy storage unit in this energy storage unit combination is determined as the target maximum limiting current (Imax_sys) corresponding to this energy storage unit combination.

[0047] In this application, by determining the target maximum limiting current Imax_sys, the subsequent calculation of the target maximum output power Pmax_sys corresponding to the energy storage unit access combination method can be performed, which facilitates the subsequent selection of the optimal energy storage unit access combination method.

[0048] As shown in Table 1 below, Table 1 is a table of charge and discharge rates corresponding to energy storage units. In this application, the charge and discharge rate tables corresponding to different types of energy storage units are also different. When determining the maximum limiting current corresponding to an energy storage unit, it is necessary to determine it according to the charge and discharge rate table corresponding to the energy storage unit.

[0049] Table 1:

[0050]

[0051] As shown in Table 1, once the state of charge (SOC) and temperature (T) of an energy storage unit are determined, a corresponding charge / discharge rate (Crate) can be determined. For example, if the SOC of an energy storage unit is 25% and the temperature (T) is 20°C, then by referring to Table 1, the charge / discharge rate (Crate) of that energy storage unit can be determined to be 2.59. In other words, for that energy storage unit, the maximum charge / discharge rate can be 2.59.

[0052] In this application, the charge / discharge rate of each energy storage unit to be connected in each energy storage unit combination can be determined through the corresponding charge / discharge rate table. Furthermore, for each energy storage unit to be connected, the maximum limiting current Imax_cells corresponding to the energy storage unit to be connected is determined by the following formula:

[0053] Imax_cells i =Crate i ×Q0 i

[0054] In this formula, Imax_cellsi Crate represents the maximum limiting current corresponding to the i-th energy storage unit to be connected in the energy storage unit combination. i Q0 represents the charge / discharge rate corresponding to the i-th energy storage unit to be connected in the energy storage unit combination. i This represents the rated capacity of the i-th energy storage unit to be connected in the energy storage unit combination method.

[0055] Since each corresponding energy storage unit in the energy storage system is connected in series, the current flowing through the energy storage units in each phase of the energy storage system is the same. Therefore, the minimum value among the N maximum limiting currents corresponding to the N proposed energy storage units in the energy storage unit combination is determined as the target maximum limiting current Imax_sys for the energy storage unit combination, that is, Imax_sys = min(Imax_cells) i ~Imax_cells N ).

[0056] In a preferred embodiment, in step S2002, the maximum output power corresponding to each energy storage unit combination is determined in the following manner:

[0057] For each energy storage unit to be connected in the energy storage unit combination method, calculate the product between the voltage Vcell corresponding to the energy storage unit to be connected and the target maximum limiting current Imax_sys corresponding to the energy storage unit combination method. Determine the product as the maximum output power Pmax_cell corresponding to the energy storage unit to be connected. Calculate the sum of the maximum output power Pmax_cell corresponding to each energy storage unit to be connected in the energy storage unit combination method. Determine the sum as the target maximum output power Pmax_sys corresponding to the energy storage unit connection combination method.

[0058] Since each proposed energy storage unit in the energy storage unit combination is connected in series, the overall output power of the energy storage unit combination is the sum of the output powers of each proposed energy storage unit. Each proposed energy storage unit is affected by its own rated parameters (rated current, etc.), and each proposed energy storage unit has a maximum output power Pmax_cell. If the operating power of the proposed energy storage unit exceeds the maximum output power Pmax_cell, it will cause damage to the proposed energy storage unit. Therefore, by using the maximum output power Pmax_cell of each proposed energy storage unit, the target maximum output power Pmax_sys that the energy storage unit combination can provide to its connected circuit can be determined. By determining the target maximum output power Pmax_sys that the energy storage unit combination can provide to its connected circuit, it is convenient to perform a preliminary screening of the energy storage unit combination from the perspective of the output power that the energy storage unit combination can meet, so that the selected energy storage unit combination can meet the system's output power requirements.

[0059] In one example, the maximum output power corresponding to each battery to be connected, as indicated by the energy storage unit combination, is determined by the following formula:

[0060]

[0061] In this formula, Vcell represents the maximum output power corresponding to the i-th energy storage unit to be connected in the j-th energy storage unit combination. ji Imax_sys represents the voltage corresponding to the i-th energy storage unit to be connected in the j-th energy storage unit combination. j This represents the target maximum limiting current corresponding to the j-th energy storage unit combination method.

[0062] In another example, in step S2003, the target maximum output power corresponding to the energy storage unit access combination method is determined by the following formula:

[0063]

[0064] In this formula, Pmax_sys j This represents the target maximum output power corresponding to the connection combination method of the j-th energy storage unit.

[0065] In a preferred embodiment, return Figure 2 Step S300 includes:

[0066] For each energy storage unit's connection configuration, the following processing is performed:

[0067] If the target maximum output power Pmax_sys corresponding to the energy storage unit access combination method is greater than or equal to the corresponding system demand power P_demand, then the energy storage unit access combination method is determined as a candidate energy storage unit access combination method. If the target maximum output power Pmax_sys corresponding to the energy storage unit access combination method is smaller than the corresponding system demand power P_demand, then the energy storage unit access combination method is abandoned as a candidate energy storage unit access combination method.

[0068] Preferably, the energy storage information also includes health status, energy status, and power status.

[0069] In a preferred embodiment, in step S400, the system-level multidimensional control factor corresponding to each candidate energy storage unit access combination is determined in the following manner:

[0070] Calculate the average temperature Tave corresponding to each proposed energy storage unit in the candidate energy storage unit access combination method. For each proposed energy storage unit in the candidate energy storage unit access combination method, perform weighted calculations on the state of health (SOH), state of energy (SOE), state of power (SOP), temperature (T), and average temperature Tave corresponding to the proposed energy storage unit to determine the multidimensional control factor k corresponding to the proposed energy storage unit. Calculate the mean of the multidimensional control factors corresponding to each proposed energy storage unit in the candidate energy storage unit access combination method to determine the system-level multidimensional control factor K corresponding to the candidate energy storage unit access combination method.

[0071] Please see Figure 4 , Figure 4 This diagram illustrates a system-level multidimensional control factor determination method provided in an embodiment of this application. Figure 4 As shown, firstly, the multi-dimensional control factors kcell1, kcell2, ..., kcellN corresponding to the N proposed energy storage units in the candidate energy storage unit access combination are determined. The multi-dimensional control factors corresponding to the proposed energy storage units are determined based on the state of health (SOH), state of energy (SOE), state of power (SOP), temperature (T), and average temperature (Tave) corresponding to the proposed energy storage units. After determining the multi-dimensional control factors corresponding to the N proposed energy storage units, the average value of the multi-dimensional control factors kcell1, kcell2, ..., kcellN corresponding to the N proposed energy storage units is taken to obtain the system-level multi-dimensional control factor corresponding to the candidate energy storage unit access combination, i.e., the system-level multi-dimensional control factor.

[0072] In a preferred embodiment, step S500 includes:

[0073] The candidate energy storage unit access combination method corresponding to the minimum system-level multidimensional control factor is determined as the corresponding optimal energy storage unit access combination method.

[0074] In step S600, multiple proposed energy storage units corresponding to the optimal energy storage unit access combination method can be connected to the corresponding energy storage loop according to the preset energy storage system control method. Preferably, the preset energy storage system control method can be to connect multiple proposed energy storage units to the energy storage system loop in ascending order of the multi-dimensional control factors corresponding to the multiple proposed energy storage units.

[0075] Compared with existing technologies, the beneficial effects of this technical solution are as follows:

[0076] 1. Improve power dispatch efficiency: By calculating the output power of the energy storage unit and multi-dimensional control factors, this invention can more accurately determine the optimal access method of the energy storage unit in the energy storage system, thereby improving the efficiency and accuracy of power dispatch.

[0077] 2. Enhanced system adaptability: The method of the present invention can dynamically adjust the access combination of energy storage units according to different states of charge, temperature, health status and other factors, thereby enhancing the adaptability of the energy storage system to different operating conditions.

[0078] 3. Avoid reduced power operation: By optimizing the connection and combination of energy storage units, the present invention can effectively avoid reduced power operation due to insufficient power at the end of charging and discharging or at the end of the life of energy storage units, thus ensuring the stable output of the system.

[0079] 4. Extending the lifespan of energy storage units: The method provided by this invention avoids premature aging of energy storage units caused by frequent charging and discharging by rationally scheduling the energy storage units, thereby extending the lifespan of the energy storage units.

[0080] 5. Improved system reliability: By comprehensively considering multiple control factors, this invention improves the reliability of the energy storage system under various complex operating conditions and reduces the risk of system power failure.

[0081] Based on the same application concept, this application also provides an energy storage system power scheduling device corresponding to the energy storage system power scheduling method provided in the above embodiments. Since the principle of the device in this application is similar to the energy storage system power scheduling method in the above embodiments of this application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0082] Please see Figure 5 , Figure 5 A functional block diagram of an energy storage system power dispatching device provided in an embodiment of this application is shown. Figure 5 As shown, the device includes:

[0083] The first determining module 700 is used to determine, for each phase of the energy storage system, the corresponding combination of multiple energy storage units based on the total number of corresponding energy storage units and the number of energy storage units to be connected, wherein each combination of energy storage units includes multiple energy storage units to be connected.

[0084] The second determining module 710 is used to determine the target maximum output power corresponding to each energy storage unit access combination method for each phase of the energy storage system, based on the energy storage information corresponding to each energy storage unit to be accessed in the energy storage unit access combination method.

[0085] The screening module 720 is used to compare the target maximum output power of each energy storage unit access combination method with the corresponding system demand power for each phase of the energy storage system, and to screen out multiple candidate energy storage unit access combination methods based on the comparison results.

[0086] The third determining module 730 is used to determine the system-level multidimensional control factor corresponding to each candidate energy storage unit access combination method for each phase of the energy storage system and for each candidate energy storage unit access combination method, based on the multidimensional control factor corresponding to each proposed energy storage unit in the candidate energy storage unit access combination method.

[0087] The fourth determining module 740 is used to determine the optimal energy storage unit access combination method for each phase of the energy storage system, based on the candidate energy storage unit access combination method corresponding to the minimum system-level multidimensional control factor.

[0088] The scheduling module 750 is used to connect multiple energy storage units corresponding to the optimal energy storage unit access combination mode to the corresponding energy storage circuit for each phase of the energy storage system, so as to realize power scheduling for that phase.

[0089] Based on the same application concept, please refer to Figure 6 , Figure 6 This diagram illustrates the structure of an electronic device according to an embodiment of this application. The electronic device 800 includes a processor 810, a memory 820, and a bus 830. The memory 820 stores machine-readable instructions executable by the processor 810. When the electronic device 800 is running, the processor 810 and the memory 820 communicate via the bus 830. The machine-readable instructions are executed by the processor 810 to perform the steps of any of the energy storage system power scheduling methods provided in the above embodiments.

[0090] Based on the same concept, this application also provides a computer-readable storage medium storing a computer program, which, when run by a processor, executes the steps of the energy storage system power scheduling method provided in the above embodiments.

[0091] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division; in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0092] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0093] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0094] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0095] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A power dispatching method for an energy storage system, characterized in that, The energy storage system includes at least one phase, and each phase of the energy storage system includes multiple energy storage units. The method includes: For each phase of the energy storage system, the following processing is performed: Based on the total number of corresponding energy storage units and the number of energy storage units to be connected, determine the corresponding combination of multiple energy storage units. Each combination of energy storage units includes multiple energy storage units to be connected. Based on the energy storage information corresponding to each proposed energy storage unit in the energy storage unit access combination method, determine the target maximum output power corresponding to each energy storage unit access combination method; The target maximum output power corresponding to each energy storage unit access combination method is compared with the corresponding system demand power, and multiple candidate energy storage unit access combination methods are selected based on the comparison results. For each candidate energy storage unit access combination method, the system-level multidimensional control factor corresponding to the candidate energy storage unit access combination method is determined based on the multidimensional control factor corresponding to each proposed energy storage unit in the candidate energy storage unit access combination method. Based on the system-level multidimensional control factor corresponding to each candidate energy storage unit access combination method, determine the corresponding optimal energy storage unit access combination method; Multiple energy storage units corresponding to the optimal energy storage unit access combination method are connected to the corresponding energy storage circuit to achieve power dispatching for that phase.

2. The method according to claim 1, characterized in that, The energy storage information includes state of charge, temperature, rated capacity, and voltage. The target maximum output power corresponding to each energy storage unit's access combination method is determined in the following way: Based on the state of charge, temperature, and rated capacity of each energy storage unit to be connected in the energy storage unit combination, determine the target maximum limiting current corresponding to the energy storage unit combination. Based on the voltage of each proposed energy storage unit in the energy storage unit combination method and the target maximum limiting current, determine the maximum output power corresponding to each proposed energy storage unit. Based on the maximum output power of each energy storage unit to be connected, determine the target maximum output power corresponding to the energy storage unit connection combination method.

3. The method according to claim 2, characterized in that, The target maximum limiting current for each energy storage unit combination is determined using the following method: Based on the state of charge and current temperature of each proposed energy storage unit in the energy storage unit combination method, the charge and discharge rate table is consulted to determine the charge and discharge rate corresponding to each proposed energy storage unit. The charge and discharge rate table records the mapping relationship between the state of charge, temperature and charge and discharge rate. Based on the charge / discharge rate and rated capacity of each energy storage unit to be connected in the energy storage unit combination method, determine the maximum limiting current corresponding to each energy storage unit to be connected in the energy storage unit combination method. The minimum value among the maximum limiting currents corresponding to each energy storage unit to be connected in the energy storage unit combination method is determined as the target maximum limiting current corresponding to the energy storage unit combination method.

4. The method according to claim 2, characterized in that, The target maximum output power corresponding to each energy storage unit combination is determined in the following way: For each energy storage unit to be connected in the energy storage unit combination, calculate the product between the voltage of the energy storage unit to be connected and the target maximum limiting current corresponding to the energy storage unit combination, and determine the product as the maximum output power corresponding to the energy storage unit to be connected. Calculate the sum of the maximum output power of each energy storage unit to be connected in the energy storage unit combination method, and determine the sum as the target maximum output power corresponding to the energy storage unit connection combination method.

5. The method according to claim 1, characterized in that, The following methods were used to select the connection combination methods for each corresponding multiple candidate energy storage units of the energy storage system: For each corresponding energy storage unit access combination method, the following processing is performed: If the target maximum output power corresponding to the energy storage unit access combination method is greater than or equal to the corresponding system demand power, then the energy storage unit access combination method is determined as a candidate energy storage unit access combination method. If the target maximum output power corresponding to the energy storage unit access combination method is less than the corresponding system demand power, then the energy storage unit access combination method will not be selected as a candidate energy storage unit access combination method.

6. The method according to claim 1, characterized in that, The energy storage information also includes health status, energy status, and power status. The system-level multidimensional control factor corresponding to the access combination method of each candidate energy storage unit is determined in the following way: Calculate the average temperature of each energy storage unit to be connected in the candidate energy storage unit connection combination; For each proposed energy storage unit in the candidate energy storage unit access combination method, the health status, energy status, power status, temperature and the average temperature of the proposed energy storage unit are weighted and calculated to determine the multi-dimensional control factor corresponding to the proposed energy storage unit. The mean value of the multidimensional control factor corresponding to each proposed energy storage unit in the candidate energy storage unit access combination method is calculated to determine the system-level multidimensional control factor corresponding to the candidate energy storage unit access combination method.

7. The method according to claim 1, characterized in that, The optimal energy storage unit connection method is determined using the following methods: The candidate energy storage unit access combination method corresponding to the minimum system-level multidimensional control factor is determined as the corresponding optimal energy storage unit access combination method.

8. A power dispatching device for an energy storage system, characterized in that, The energy storage system includes at least one phase, and each phase of the energy storage system includes multiple energy storage units. The device includes: The first determining module is used to determine, for each phase of the energy storage system, the corresponding multiple energy storage unit access combination method based on the total number of corresponding energy storage units and the number of energy storage units to be connected, wherein each energy storage unit combination access method includes multiple energy storage units to be connected; The second determining module is used to determine the target maximum output power corresponding to each energy storage unit access combination method for each phase of the energy storage system, based on the energy storage information corresponding to each energy storage unit to be accessed in the energy storage unit access combination method. The screening module is used to compare the target maximum output power corresponding to each energy storage unit access combination method with the corresponding system demand power for each phase of the energy storage system, and to screen out multiple candidate energy storage unit access combination methods based on the comparison results. The third determining module is used to determine the system-level multidimensional control factor corresponding to each candidate energy storage unit access combination method for each phase of the energy storage system and for each candidate energy storage unit access combination method, based on the multidimensional control factor corresponding to each proposed energy storage unit in the candidate energy storage unit access combination method. The fourth determining module is used to determine the candidate energy storage unit access combination mode corresponding to the minimum system-level multidimensional control factor for each phase of the energy storage system as the corresponding optimal energy storage unit access combination mode. The scheduling module is used to connect multiple proposed energy storage units corresponding to the optimal energy storage unit access combination mode to the corresponding energy storage circuit for each phase of the energy storage system, so as to realize power scheduling for that phase.

9. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. The machine-readable instructions are executed by the processor to perform the steps of the power scheduling method for an energy storage system as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the energy storage system power scheduling method as described in any one of claims 1 to 7.

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