Method, device and readable medium for comprehensive evaluation of energy storage power station system

Abstract

The application provides a comprehensive evaluation method, equipment and readable medium of an energy storage power station system, the evaluation method comprising: obtaining charge-discharge related data of the energy storage power station system; based on the charge-discharge related data, analyzing the consistency state of a battery module of the energy storage power station system to obtain a consistency index of each influencing factor of the battery module; determining the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system to obtain a comprehensive performance index of the energy storage power station system. The application comprehensively considers the overall SOH, battery module voltage, temperature, SOC, available capacity consistency and other multiple angles of the energy storage power station system to effectively evaluate the current running state of the energy storage power station system, thereby effectively improving the evaluation efficiency and accuracy.

Description

Technical Field

[0001] This invention relates to the field of energy storage system technology, and in particular to a method, equipment and readable medium for comprehensive evaluation of the operating status of an energy storage power station system. Background Technology

[0002] In recent years, the construction of energy storage power station systems has been accelerating. As the system operates, the batteries in the energy storage power station system will age, and the battery modules inside the energy storage power station system will experience capacity decay and deterioration in consistency. Therefore, how to achieve a rapid and accurate assessment of the current operating status of the energy storage power station system is a key issue in promoting the large-scale application of energy storage power station systems.

[0003] Current methods for assessing the operational status of energy storage power station systems generally use the current capacity of the battery modules within the system as the sole evaluation criterion. However, this type of method ignores other crucial and consistent information about the battery modules, resulting in an inability to comprehensively reflect the real-time operational status of the energy storage power station system, thereby reducing assessment efficiency and accuracy. Summary of the Invention

[0004] The main objective of this invention is to provide a comprehensive evaluation method, equipment, and readable medium for energy storage power station systems, so as to improve the above-mentioned deficiencies in the prior art.

[0005] The present invention solves the above-mentioned technical problems through the following technical solution:

[0006] As one aspect of the present invention, a comprehensive evaluation method for an energy storage power station system is provided, comprising:

[0007] Acquire charging and discharging related data of the energy storage power station system;

[0008] Based on the charge and discharge related data, the consistency status of the battery modules in the energy storage power station system is analyzed to obtain consistency indicators of various influencing factors of the battery modules; and

[0009] The consistency index of each influencing factor of the battery module is determined and its weight in the comprehensive evaluation index of the energy storage power station system is determined in order to obtain the comprehensive performance index of the energy storage power station system.

[0010] As an optional implementation, in the step of obtaining the charging and discharging related data of the energy storage power station system, the charging and discharging related data includes any one or more of the following: historical charging and discharging data and the voltage, current, available capacity, SOC (state of charge), and SOH (state of health) data of the battery module under operating conditions.

[0011] As an optional implementation, after the step of acquiring the charging and discharging related data of the energy storage power station system, the comprehensive evaluation method further includes:

[0012] The charging and discharging related data are preprocessed to identify and remove data anomalies.

[0013] As an optional implementation, the step of preprocessing the charge-discharge related data includes:

[0014] The charging and discharging related data are preprocessed based on the HAMPEL filtering algorithm (a filtering method).

[0015] As an optional implementation, the step of analyzing the consistency status of the battery modules of the energy storage power station system based on the charge and discharge related data to obtain the consistency index of each influencing factor of the battery modules includes:

[0016] Based on the charge and discharge related data, the consistency status of the battery modules of the energy storage power station system is analyzed by combining the range sequence Euclidean norm, so as to obtain the consistency index of each influencing factor of the battery modules.

[0017] As an optional implementation, the step of determining the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system, so as to obtain the comprehensive performance index of the energy storage power station system, includes:

[0018] Based on the analytic hierarchy process, the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system is determined, so as to obtain the comprehensive performance index of the energy storage power station system.

[0019] As an optional implementation, the step of determining the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system, so as to obtain the comprehensive performance index of the energy storage power station system, includes:

[0020] The weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system is determined, and the consistency index of each influencing factor is weighted and summed according to the weight to obtain the comprehensive performance index of the energy storage power station system.

[0021] As an optional implementation, the influencing factors include any one or more of voltage, current, temperature, available capacity, SOC, and SOH.

[0022] As another aspect of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the comprehensive evaluation method for an energy storage power station system as described above.

[0023] As another aspect of the present invention, a computer-readable medium is provided having computer instructions stored thereon, which, when executed by a processor, implement the comprehensive evaluation method for an energy storage power station system as described above.

[0024] Based on the content of this invention, those skilled in the art will understand other aspects of this invention.

[0025] The positive and progressive effects of this invention are as follows:

[0026] The comprehensive evaluation method, equipment, and readable medium for energy storage power station systems provided by this invention comprehensively and effectively evaluate the current operating status of energy storage power station systems from multiple perspectives, including overall SOH, battery module voltage, temperature, SOC, and available capacity consistency, thereby effectively improving evaluation efficiency and accuracy.

[0027] The comprehensive evaluation method, equipment, and readable medium for energy storage power station systems provided by this invention firstly introduces the analytic hierarchy process (AHP) to calculate the weight of each influencing factor in the comprehensive index, avoiding the uncertainty bias caused by manually assigning weight factors. Secondly, the test data of the energy storage power station system is filtered using the HAMPEL filtering algorithm to eliminate data anomalies caused by external environmental fluctuations, improving the accuracy of subsequent calculations. Then, the Euclidean norm of the range sequence is used to measure the consistency of battery module voltage, SOC, SOH, etc., analyzing the consistency of battery modules in various dimensions from the perspective of fluctuation range. Finally, the comprehensive performance of the energy storage system is measured based on multiple indicators such as battery SOH and battery module consistency index. Attached Figure Description

[0028] The features and advantages of the invention will be better understood after reading the following detailed description of embodiments of the invention in conjunction with the accompanying drawings. In the drawings, components are not necessarily drawn to scale, and components having similar related properties or features may have the same or similar reference numerals.

[0029] Figure 1 This is a flowchart illustrating a comprehensive evaluation method for an energy storage power station system according to an embodiment of the present invention.

[0030] Figure 2 This is a schematic diagram of an electronic device for implementing a comprehensive evaluation method for an energy storage power station system according to another embodiment of the present invention. Detailed Implementation

[0031] The present invention will be further illustrated by way of embodiments below, but the present invention is not limited to the scope of the embodiments described herein.

[0032] It should be noted that references to "an embodiment," "an alternative embodiment," "another embodiment," etc., in the specification indicate that the described embodiments may include specific features, structures, or characteristics, but each embodiment may not necessarily include that specific feature, structure, or characteristic. Furthermore, such phrases do not necessarily refer to the same embodiment. In addition, when a specific feature, structure, or characteristic is described in connection with an embodiment, whether or not it is explicitly described, implementing such a feature, structure, or characteristic in conjunction with other embodiments is within the knowledge of those skilled in the art.

[0033] In the description of this invention, it should be understood that the terms "center," "lateral," "upper," "lower," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as limiting the content of this invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more. Additionally, the term "comprising" and any variations thereof are intended to cover non-exclusive inclusion.

[0034] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0035] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments. Unless the context clearly indicates otherwise, the singular forms “a” and “an” as used herein are also intended to include the plural. It should also be understood that the terms “comprising” and / or “including” as used herein specify the presence of the stated features, integers, steps, operations, units, and / or components, without excluding the presence or addition of one or more other features, integers, steps, operations, units, components, and / or combinations thereof.

[0036] To overcome the aforementioned deficiencies in the existing technology, this embodiment provides a comprehensive evaluation method for an energy storage power station system, including: acquiring charge and discharge related data of the energy storage power station system; analyzing the consistency status of the battery modules of the energy storage power station system based on the charge and discharge related data to obtain consistency indicators of various influencing factors of the battery modules; determining the weight of the consistency indicators of various influencing factors of the battery modules in the comprehensive evaluation indicators of the energy storage power station system to obtain the comprehensive performance indicators of the energy storage power station system.

[0037] In this embodiment, the current operating status of the energy storage power station system is comprehensively and effectively evaluated by taking into account the consistency factors of the energy storage power station system, thereby effectively improving the evaluation efficiency and accuracy.

[0038] Specifically, as an example, such as Figure 1 As shown in the figure, the comprehensive evaluation method for energy storage power station systems based on multidimensional hierarchical analysis technology provided in this embodiment mainly includes the following steps:

[0039] Step 101: Obtain charging and discharging data related to the energy storage power station system.

[0040] In this step, the charge and discharge related data includes any one or more of the following: historical charge and discharge data and battery module voltage, current, available capacity, SOC and SOH data under operating conditions. Preferably, the charge and discharge related data includes all the data mentioned above, but the type of charge and discharge related data is not specifically limited and can be adjusted and selected according to actual needs.

[0041] Specifically, the collection of charging and discharging data related to the energy storage power station system includes: collecting historical charging and discharging data of the energy storage power station system within the start and end time range, and recording the voltage, current, available capacity, SOC, and SOH data of each battery module and cell within the energy storage power station system under operating conditions.

[0042] Step 102: Perform data preprocessing on the charging and discharging related data to identify and remove data anomalies.

[0043] In this step, the charging and discharging related data are preprocessed based on the HAMPEL filtering algorithm to identify and remove data outliers.

[0044] Specifically, if the raw charging and discharging data collected in step 101 contains anomalies (such as a momentary impact on the voltage of the associated battery caused by the start and stop of a switch), it will have an adverse effect on the subsequent calculation results. Therefore, this embodiment uses the HAMPEL filtering algorithm to preprocess the raw measurement data, identify and remove anomalies in the time series.

[0045] HAMPEL filtering is applied to the input time series x to detect and remove outliers. For each sample in x, the median of a window consisting of the sample and its six surrounding samples is calculated. The standard deviation σ = 1.4826 * MAD of each sample relative to the median is estimated using the absolute value of the median (MAD). For any sample point within the window, if it differs from the median by more than three standard deviations (3σ), that point is identified as an outlier and replaced with the median of the window.

[0046] Step 103: Based on charge and discharge related data, analyze the consistency status of the battery modules in the energy storage power station system to obtain the consistency index of each influencing factor of the battery modules.

[0047] In this step, based on charge and discharge related data, the consistency status of the battery modules in the energy storage power station system is analyzed in conjunction with the Euclidean norm of the range sequence to obtain the consistency index of each influencing factor of the battery modules.

[0048] Specifically, the battery module consistency status analysis involves using the data obtained in steps 101 and 102, combined with the Euclidean norm of the range sequence to measure the consistency status of the energy storage system's battery modules, to calculate the consistency indices for battery module voltage, temperature, state of charge, and available capacity. Taking voltage consistency as an example, the same principle applies to other data types.

[0049] (1) For a battery module containing N individual cells, the voltage range sequence V corresponding to all individual cells under the battery module is calculated based on the voltage time series data of each individual cell obtained in step 102. t , Where V i,t V j,t Let Vi and Vj represent the voltages of the i-th and j-th battery cells at time t, respectively. N is the number of battery cells in the battery module, and M is the number of measurement data points for the voltage time series. Based on this, the voltage range sequence Vi of the battery module is obtained. t Used for subsequent voltage consistency index calculations.

[0050] (2) Based on the battery module voltage range sequence V obtained in (1) above t The corresponding Euclidean norm L is calculated.

[0051] (3) Calculate the battery module voltage consistency index α based on the Euclidean norm L obtained in (2) above, i.e., α = 1 – L / β (β is the upper and lower limits of the charging and discharging voltage of a single cell).

[0052] Calculate the battery module's SOC, usable capacity, temperature consistency index, etc., according to the above process (1) to (3).

[0053] Step 104: Determine the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system, so as to obtain the comprehensive performance index of the energy storage power station system.

[0054] In this step, based on the analytic hierarchy process, the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system is determined. The consistency index of each influencing factor is weighted and summed according to the weight to obtain the comprehensive performance index of the energy storage power station system.

[0055] In this step, the influencing factors include any one or more of voltage, current, temperature, available capacity, SOC and SOH. Preferably, the influencing factors include all of the factors mentioned above, but the types of influencing factors are not specifically limited. They can be adjusted and selected according to actual needs.

[0056] Specifically, the comprehensive performance evaluation of energy storage power station systems involves determining the weights of battery module voltage, temperature, SOC, usable capacity consistency indicators, and overall SOH influencing factors in the comprehensive evaluation indicators of the energy storage power station system based on the analytic hierarchy process (AHP), and calculating the consistency index of the energy storage power station system accordingly.

[0057] 1. Establish a hierarchical structure model. Divide the decision-making objectives (comprehensive performance indicators of the energy storage power station system), the influencing factors to be considered (battery module voltage, temperature, SOC, usable capacity consistency indicators, and overall SOH of the energy storage power station system), and the decision-making schemes (different weighting schemes) into the highest, middle, and lowest layers according to their interrelationships.

[0058] 2. Construct the pairwise comparison matrix. The pairwise comparison matrix A = [a ij ] M×M This represents a comparison of the relative importance of all factors at this level (various consistency indicators, SOH) relative to a single factor at the previous level (the comprehensive performance index of the energy storage power station system). The element a of the pairwise comparison matrix is... ij This represents the comparison result of the i-th factor relative to the j-th factor. The meanings of different comparison results are shown in Table 1 below:

[0059] Table 1. Comparison of the importance of the two influencing factors, P and Q.

[0060]

[0061] 3. Calculate the single sorting weight vector and perform a consistency check.

[0062] For each pairwise comparison matrix A = [a ij ] M×M Calculate its largest eigenvalue and its corresponding eigenvector, and perform a consistency test using the consistency index, random consistency index, and consistency ratio. If the test passes, the eigenvector becomes the weight vector; if it fails, the comparison matrix needs to be adjusted so that it passes the consistency test.

[0063] 4. Calculate the total ranking weight vector and perform a consistency check.

[0064] Calculate the weight vector of the overall ranking from the bottom layer to the top layer. Use the overall ranking consistency ratio for verification. If the verification passes, the decision can be made according to the result represented by the overall ranking weight vector; otherwise, the comparison matrix needs to be reconstructed.

[0065] Based on the final reasonable pairwise comparison matrix A = [a ij ] M×M This yields the consistency indicators of battery module voltage, SOC, usable capacity, and temperature, as well as the weight of the overall SOH indicator of the energy storage power station system in the comprehensive performance indicators. Then, a utility function is used... Normalize each sub-indicator, and finally sum the weighted sub-indicators to obtain the comprehensive performance index of the energy storage power station system.

[0066] The comprehensive evaluation method for energy storage power station systems provided in this embodiment has the following main advantages:

[0067] I. This embodiment introduces the analytic hierarchy process (AHP) to calculate the weight of each influencing factor in the comprehensive evaluation index, thus avoiding the uncertainty and bias caused by manually specifying weighting factors.

[0068] 2. In this embodiment, the range sequence Euclidean norm is used to measure the consistency of the battery module's voltage, SOC, SOH, etc., and the consistency of the battery module in each dimension is analyzed from the perspective of fluctuation range.

[0069] Third, this embodiment uses the HAMPEL filtering algorithm to filter the test data of the energy storage power station system, eliminating data anomalies caused by external environmental fluctuations, reducing measurement errors and interference from abnormal data points on the results, and improving the accuracy of subsequent calculations.

[0070] Fourth, this embodiment uses multiple indicators such as battery SOH and battery module consistency index to evaluate the comprehensive performance of the energy storage power station system, and evaluates the performance of the energy storage power station system in a comprehensive and multi-dimensional way, so as to more realistically and comprehensively reflect the operating status of the energy storage power station system.

[0071] Figure 2 This is a schematic diagram of the structure of an electronic device according to this embodiment. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the comprehensive evaluation method for the energy storage power station system as described in the above embodiment. Figure 2 The electronic device 30 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0072] like Figure 2 As shown, the electronic device 30 can be manifested as a general-purpose computing device, such as a server device. The components of the electronic device 30 may include, but are not limited to: at least one processor 31, at least one memory 32, and a bus 33 connecting different system components (including memory 32 and processor 31).

[0073] Bus 33 includes a data bus, an address bus, and a control bus.

[0074] The memory 32 may include volatile memory, such as random access memory (RAM) 321 and / or cache memory 322, and may further include read-only memory (ROM) 323.

[0075] The memory 32 may also include a program / utility 325 having a set (at least one) of program modules 324, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0076] The processor 31 executes various functional applications and data processing by executing computer programs stored in the memory 32, such as the comprehensive evaluation method for energy storage power station systems in the above embodiment of the present invention.

[0077] Electronic device 30 can also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). This communication can be performed via input / output (I / O) interface 35. Furthermore, the model-generating device 30 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 36. Figure 2As shown, network adapter 36 communicates with other modules of the model-generated device 30 via bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the model-generated device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0078] It should be noted that although several units / modules or sub-units / modules of the electronic device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0079] This embodiment also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps in the comprehensive evaluation method for the energy storage power station system as described in the above embodiment.

[0080] The readable storage medium may be more specifically adopted, including but not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical storage device, magnetic storage device, or any suitable combination thereof.

[0081] In a possible implementation, the present invention can also be implemented as a program product comprising program code, which, when executed on a terminal device, causes the terminal device to perform steps in the comprehensive evaluation method for the energy storage power station system as described in the above embodiments.

[0082] The program code for executing the present invention can be written in any combination of one or more programming languages. The program code can be executed entirely on the user device, partially on the user device, as a standalone software package, partially on the user device and partially on a remote device, or entirely on a remote device.

[0083] While specific embodiments of the present invention have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of the present invention is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but all such changes and modifications fall within the scope of protection of the present invention.

Claims

1. A comprehensive evaluation method for an energy storage power station system, characterized in that, include: Acquire charging and discharging related data of the energy storage power station system; wherein, the charging and discharging related data includes any one or more of historical charging and discharging data and battery module voltage, current, available capacity, SOC and SOH data under operating conditions; Based on the charging and discharging related data, the consistency status of the battery modules of the energy storage power station system is analyzed to obtain the consistency index of each influencing factor of the battery modules. And determine the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system, so as to obtain the comprehensive performance index of the energy storage power station system. The step of determining the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system, so as to obtain the comprehensive performance index of the energy storage power station system, includes: Based on the hierarchical analysis method, the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system is determined, so as to obtain the comprehensive performance index of the energy storage power station system. The step of determining the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system based on the hierarchical analysis method specifically includes: Construct a pairwise comparison matrix for each influencing factor of the battery module; the pairwise comparison matrix represents the comparison of the relative importance of all factors in this layer with respect to a certain factor in the previous layer; For each pairwise comparison matrix, calculate the largest eigenvalue and its corresponding eigenvector, and perform a consistency test using the consistency index, random consistency index, and consistency ratio. If the consistency test passes, the eigenvector is the weight vector; if it fails, adjust the pairwise comparison matrix so that it passes the consistency test. Calculate the total ranking weight vector from the bottom layer to the top layer of each pairwise comparison matrix; perform a consistency check using the total ranking consistency ratio; if the consistency check passes, make a decision based on the result represented by the total ranking weight vector; if it fails, the pairwise comparison matrix needs to be reconstructed. Based on the final reasonable pairwise comparison matrix, the consistency index of each influencing factor of the battery module is obtained in the comprehensive evaluation index of the energy storage power station system. The step of analyzing the consistency status of the battery modules in the energy storage power station system based on the charge and discharge related data to obtain the consistency index of each influencing factor of the battery modules includes: Based on the charge and discharge related data, the consistency status of the battery modules of the energy storage power station system is analyzed by combining the Euclidean norm of the range sequence, so as to obtain the consistency index of each influencing factor of the battery modules. After the step of acquiring the charging and discharging related data of the energy storage power station system, the comprehensive evaluation method further includes: The charging and discharging related data are preprocessed to identify and remove data anomalies; The step of preprocessing the charge / discharge related data includes: The charge and discharge related data are preprocessed based on the HAMPEL filtering algorithm. The step of analyzing the consistency status of the battery modules in the energy storage power station system by combining the Euclidean norm of the range sequence to obtain the consistency index of each influencing factor of the battery modules specifically includes: S1: For those containing For a battery module consisting of individual battery cells, after preprocessing the charge-discharge related data based on the HAMPEL filtering algorithm, the voltage time series data of each individual battery cell is obtained. The voltage range sequence corresponding to all battery cells under the battery module is then calculated. , ； in, , Let N and M represent the voltages of the i-th and j-th battery cells at time t, respectively. N is the number of battery cells in the battery module, and M is the number of measurement data points for the voltage time series. S2: Based on the battery module voltage range sequence Calculate the voltage range sequence of the battery module. The corresponding Euclidean norm L; ； S3: Calculate the battery module voltage consistency index based on the Euclidean norm L. ; ； in, The range between the upper and lower limits of the charge and discharge voltage of a single battery cell; Based on steps S1 to S3, the consistency indicators of battery module SOC, usable capacity, and temperature are calculated respectively.

2. The comprehensive evaluation method as described in claim 1, characterized in that, The step of determining the weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system, so as to obtain the comprehensive performance index of the energy storage power station system, includes: The weight of the consistency index of each influencing factor of the battery module in the comprehensive evaluation index of the energy storage power station system is determined, and the consistency index of each influencing factor is weighted and summed according to the weight to obtain the comprehensive performance index of the energy storage power station system.

3. The comprehensive evaluation method as described in claim 2, characterized in that, The influencing factors include any one or more of voltage, current, temperature, available capacity, SOC, and SOH.

4. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the comprehensive evaluation method for the energy storage power station system as described in any one of claims 1 to 3.

5. A computer-readable medium storing computer instructions thereon, characterized in that, The computer instructions, when executed by the processor, implement the comprehensive evaluation method for the energy storage power station system as described in any one of claims 1 to 3.

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