A network-related testing method, system, terminal and storage medium for electrochemical energy storage

Abstract

The present invention relates to the technical field of electrochemical energy storage, and specifically to a network-related test method, system, terminal and storage medium for electrochemical energy storage, including: S1, obtaining the frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate of the grid; obtaining the actual charge and discharge power of the electrochemical energy storage; S2, fuzzifying the frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate and converting them into fuzzy sets; S3, calculating the theoretical fuzzy output based on the fuzzy sets and pre-set fuzzy rules; calculating the theoretical charge and discharge power; S4, calculating the difference between the actual charge and discharge power and the theoretical charge and discharge power, obtaining the test rating of the electrochemical energy storage based on the difference and the preset rating threshold, and optimizing and adjusting the electrochemical energy storage based on the theoretical charge and discharge power. Refined management and optimization of electrochemical energy storage equipment are achieved, and the network-related performance and stability of the energy storage system are improved.

Description

Technical Field

[0001] The present invention relates to the field of electrochemical energy storage technology, and specifically to a network-related testing method, system, terminal and storage medium for electrochemical energy storage. Background Art

[0002] With the development of the energy storage industry, a large number of pre-installed energy storage batteries have been put into use. Since the energy storage capacity, efficiency and function of the energy storage battery determine the normal operation of the energy storage battery, it is essential to conduct grid-connected testing on the performance of the pre-installed energy storage battery before it leaves the factory.

[0003] The performance test of electrochemical energy storage equipment requires multiple energy storage inverters to be connected in parallel to the mains power grid. In traditional technology, electrochemical energy storage is connected to the mains grid for full charge and discharge tests to determine the self-use capacity and cycle charge and discharge efficiency, and then judged based on the fluctuations of the power grid to ensure that the electrochemical energy storage can be correctly connected to the grid.

[0004] Since there are many different possible changes in the operating state of the power grid, the current testing of electrochemical energy storage devices is too rough, which cannot better optimize the electrochemical energy storage devices and is not conducive to the stability of electrochemical energy storage grid-related. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method, a system, a terminal and a storage medium to solve the above-mentioned technical problems.

[0006] In a first aspect, the present invention provides a network-related testing method for electrochemical energy storage, comprising:

[0007] S1, obtaining the frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate of the grid; obtaining the actual charging and discharging power after the electrochemical energy storage is connected to the grid;

[0008] S2, based on the fuzzy logic algorithm, the input variables are fuzzified and converted into fuzzy sets. The input variables include frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate;

[0009] S3, based on the fuzzy set and the pre-set fuzzy rules, the theoretical fuzzy output is calculated; and the theoretical charge and discharge power is calculated based on the defuzzification method combined with the theoretical fuzzy output;

[0010] S4, calculating the difference between the actual charge and discharge power and the theoretical charge and discharge power, obtaining a test rating of the electrochemical energy storage based on the difference and a preset rating threshold, and optimizing and adjusting the electrochemical energy storage based on the theoretical charge and discharge power.

[0011] In an optional implementation, in step S3, the preset fuzzy rule specifically includes:

[0012] Obtaining deviation information between input variables and their corresponding rated values, and setting fuzzy sets for the input variables based on the deviation information;

[0013] The output variable fuzzy set is set based on the charging and discharging power and the actual charging and discharging possibility;

[0014] The fuzzy sets of input variables are combined and combined with the fuzzy sets of output variables to construct a fuzzy rule base.

[0015] In an optional embodiment, the membership degree of each fuzzy set is calculated based on the triangular membership function to determine the degree to which the input variable belongs to the fuzzy set:

[0016] Different triangular membership function parameters a, b, c are configured based on the characteristics of each fuzzy set;

[0017]

[0018] in, , is the membership degree of the input variable, and x is the input variable.

[0019] In an optional implementation, a fuzzy rule includes multiple input variables and one output variable, the membership of each input variable fuzzy set is obtained, and the minimum value of all memberships is taken as the membership of the output variable.

[0020] In an optional implementation, in step S3, the defuzzification adopts the centroid method, which is calculated as:

[0021]

[0022] Among them, P is the theoretical charge and discharge power value, n is the number of fuzzy rules, is the membership degree of the fuzzy set of the i-th output variable, is the charging and discharging power value corresponding to the i-th fuzzy set.

[0023] In an optional embodiment, the rating threshold includes a first threshold, a second threshold, and a third threshold;

[0024] When the difference is less than the first threshold, it is determined to be qualified;

[0025] When the difference is not less than the first threshold and less than the second threshold, it is judged as slightly unqualified;

[0026] When the difference is not less than the second threshold and less than the third threshold, it is judged as moderately unqualified;

[0027] When the difference is not less than the third threshold, it is determined to be severely unqualified.

[0028] In an optional embodiment, in step S4, before obtaining the test rating, whether the theoretical charge and discharge power is reasonable is judged based on the difference between the actual charge and discharge power and the theoretical charge and discharge power. If it is unreasonable, the fuzzy rule base is modified and the parameters of the membership function are adjusted.

[0029] In a second aspect, the present invention provides a network-related testing system for electrochemical energy storage, including: when the system is executed, the network-related testing method for electrochemical energy storage is implemented, and the system includes:

[0030] The information acquisition module acquires the frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate of the grid; and acquires the actual charging and discharging power of the electrochemical energy storage after being connected to the grid;

[0031] An input variable conversion module converts the input variables into fuzzy sets after fuzzification based on fuzzy logic algorithm. The input variables include frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate.

[0032] Theoretical fuzzy output calculation module calculates the theoretical fuzzy output based on fuzzy sets and pre-set fuzzy rules; and calculates the theoretical charge and discharge power based on the defuzzification method combined with the theoretical fuzzy output;

[0033] The test rating module calculates the difference between the actual charge and discharge power and the theoretical charge and discharge power, obtains the test rating of the electrochemical energy storage based on the difference and a preset rating threshold, and optimizes and adjusts the electrochemical energy storage based on the theoretical charge and discharge power.

[0034] In a third aspect, a terminal is provided, including:

[0035] processor, memory, wherein:

[0036] The memory is used to store computer programs.

[0037] The processor is used to call and run the computer program from the memory, so that the terminal executes the above-mentioned terminal method.

[0038] According to a fourth aspect, a computer storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the computer executes the methods described in the above aspects.

[0039] The beneficial effect of the present invention is that the grid-related testing method, system, terminal and storage medium for electrochemical energy storage provided by the present invention can accurately reflect the relationship between the operating status of the power grid and the performance of the energy storage equipment, realize the refined management and optimization of the electrochemical energy storage equipment, improve the grid-related performance and stability of the energy storage system, and provide strong support for the reliable operation of the power grid.

[0040] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 It is a schematic flow chart of a grid-related testing method for electrochemical energy storage according to an embodiment of the present invention.

[0043] Figure 2 It is a schematic block diagram of a grid-related testing system for electrochemical energy storage according to an embodiment of the present invention.

[0044] Figure 3 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0047] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention. Figure 1 The execution subject may be a grid-related test system for electrochemical energy storage. According to different requirements, the order of the steps in the flow chart may be changed, and some may be omitted.

[0048] like Figure 1 As shown, the method includes:

[0049] S1, obtaining the frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate of the grid; obtaining the actual charging and discharging power after the electrochemical energy storage is connected to the grid;

[0050] Power Deviation (PD): The difference between the actual output power and the command power, which reflects the accuracy of power control.

[0051] Frequency Deviation (FD): The difference between the actual grid frequency and the rated frequency, used to evaluate frequency response performance.

[0052] Voltage Deviation (VD): The difference between the actual grid voltage and the rated voltage, which measures the voltage response capability.

[0053] By collecting these key parameters, we can understand the operation of the power grid in real time, including frequency stability and voltage stability, etc. This helps to timely discover abnormal fluctuations and potential problems in the power grid, and provide an accurate data basis for subsequent analysis and decision-making.

[0054] S2, based on the fuzzy logic algorithm, the input variables are fuzzified and converted into fuzzy sets. The input variables include frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate;

[0055] Fuzzy processing converts precise input variables into fuzzy sets, which can better adapt to the complex characteristics of power grids and energy storage systems. Due to the uncertainty and ambiguity of power grid operation status and energy storage equipment performance, fuzzy processing can more flexibly represent these variables and improve the system's adaptability to different working conditions.

[0056] S3, based on the fuzzy set and the pre-set fuzzy rules, the theoretical fuzzy output is calculated; and the theoretical charge and discharge power is calculated based on the defuzzification method combined with the theoretical fuzzy output;

[0057] Through the application of fuzzy rules, the theoretical charging and discharging power can be intelligently determined according to the different states of the power grid and the characteristics of the energy storage equipment. This provides decision support for the control and optimization of the energy storage system, enables the energy storage equipment to better respond to the needs of the power grid, and improves the stability and reliability of the power grid.

[0058] S4, calculating the difference between the actual charge and discharge power and the theoretical charge and discharge power, obtaining a test rating of the electrochemical energy storage based on the difference and a preset rating threshold, and optimizing and adjusting the electrochemical energy storage based on the theoretical charge and discharge power.

[0059] The calculation of the difference and the determination of the rating can quantitatively evaluate and monitor the performance of the electrochemical energy storage device. By comparing with the preset rating threshold, the performance degradation or abnormality of the energy storage device can be discovered in time, providing a basis for maintenance and management.

[0060] Optionally, as an embodiment of the present invention, in step S3, the preset fuzzy rule specifically includes:

[0061] Obtaining deviation information between input variables and their corresponding rated values, and setting fuzzy sets for the input variables based on the deviation information;

[0062] The output variable fuzzy set is set based on the charging and discharging power and the actual charging and discharging possibility;

[0063] The fuzzy sets of input variables are combined and combined with the fuzzy sets of output variables to construct a fuzzy rule base.

[0064] Optionally, as an embodiment of the present invention, each input variable includes five fuzzy sets, specifically:

[0065] Frequency deviation: negative big (NB), negative small (NS), zero (ZE), positive small (PS), positive big (PB);

[0066] Frequency change rate: fast drop (ND), slow drop (NSD), stable (ST), slow rise (PSU), fast rise (PU)

[0067] Voltage deviation: negative big (NB) negative small (NS) zero (ZE) positive small (PS) positive big (PB)

[0068] Voltage change rate: fast drop (ND) slow drop (NSD) stable (ST) slow rise (PSU) fast rise (PU)

[0069] Fuzzy sets are set for the output variable (charging and discharging power), including large discharge (DE), small discharge (DS), no action (NO), small charge (CS), and large charge (CE).

[0070] Rule 1: When the frequency deviation is large and drops rapidly, and the voltage deviation is also large and drops rapidly, the system needs to discharge with high power to support grid stability.

[0071] Rule 2: When the frequency deviation is large and decreasing, but the voltage deviation is small and stable, the system can choose to discharge at a low power.

[0072] Rule 3: When the frequency deviation is small and decreases slowly, the voltage deviation is zero and stable, and the system remains inactive.

[0073] Rule 4: When the frequency is close to the rated value and the voltage deviation is small and rising slowly, the system can charge at a low power.

[0074] Rule 5: When the frequency deviation is small and rising rapidly, and the voltage deviation is large and rising rapidly, the system should perform high-power charging.

[0075] Rule 6: When all parameters are close to normal and stable, the system remains inactive.

[0076] Other comprehensive rules may also be included.

[0077] Optionally, as an embodiment of the present invention, the membership degree of each fuzzy set is calculated based on the triangular membership function to determine the degree to which the input variable belongs to the fuzzy set:

[0078] Different triangular membership function parameters a, b, c are configured based on the characteristics of each fuzzy set;

[0079]

[0080] in, , is the membership degree of the input variable, and x is the input variable.

[0081] Optionally, as an embodiment of the present invention, the frequency deviation is fuzzified, and the specific levels and corresponding membership functions are as follows:

[0082] Fuzzy Sets:

[0083] Negative large (NB): (−∞,-∞,−∞) to (−0.5,-0.5,−0.5);

[0084] Negative Small (NS): (−0.5,-0.5,−0.5) to (0,0,0);

[0085] Zero (ZE): (−0.1,-0.1,−0.1) to (0.1,0.1,0.1);

[0086] Positive Small (PS): (0,0,0) to (0.5,0.5,0.5);

[0087] Positive (PB): (0.5,0.5,0.5) to (+∞,+∞,+∞).

[0088]

[0089]

[0090]

[0091]

[0092] The calculation of other input variables is the same as above.

[0093] Optionally, as an embodiment of the present invention, a fuzzy rule includes multiple input variables and one output variable, the membership of each input variable fuzzy set is obtained, and the minimum value of all memberships is taken as the membership of the output variable.

[0094] Optionally, as an embodiment of the present invention, in step S3, the defuzzification adopts the centroid method, which is calculated as:

[0095]

[0096] Among them, P is the theoretical charge and discharge power value, n is the number of fuzzy rules, is the membership degree of the fuzzy set of the i-th output variable, is the charging and discharging power value corresponding to the i-th fuzzy set.

[0097] Optionally, as an embodiment of the present invention, the rating threshold includes a first threshold, a second threshold and a third threshold;

[0098] When the difference is less than the first threshold, it is determined to be qualified;

[0099] When the difference is not less than the first threshold and less than the second threshold, it is judged as slightly unqualified;

[0100] When the difference is not less than the second threshold and less than the third threshold, it is judged as moderately unqualified;

[0101] When the difference is not less than the third threshold, it is determined to be severely unqualified.

[0102] Optionally, as an embodiment of the present invention, in step S4, before obtaining the test rating, whether the theoretical charge and discharge power is reasonable is judged based on the difference between the actual charge and discharge power and the theoretical charge and discharge power. When it is unreasonable, the fuzzy rule base is modified and the parameters of the membership function are adjusted.

[0103] By analyzing the data, it may be found that some fuzzy rules do not meet the performance optimization requirements of the energy storage system in actual operation. For example, when the grid frequency deviation is within a certain range and the frequency deviation change rate is small, according to the original fuzzy rule, the energy storage system should perform low-power charging and discharging regulation, but the actual data shows that this regulation does not play a positive role in grid stability and may even cause some negative effects. This indicates that this fuzzy rule may need to be modified.

[0104] Optionally, as an embodiment of the present invention, according to the data analysis results, it may be found that there are no suitable fuzzy rules to guide the operation of the energy storage system under some special working conditions. For example, when the voltage deviation and frequency deviation of the power grid change rapidly at the same time, the original fuzzy rule base may not cover this working condition. At this time, it is necessary to add new fuzzy rules to deal with this situation. The addition of new rules can be based on the summary and induction of the data characteristics under these special working conditions.

[0105] For some fuzzy rules, their importance may be found to be inconsistent with the initial setting in actual operation. For example, some rules are frequently triggered under most working conditions, but the improvement effect on the grid-related performance of the energy storage system is not obvious, while other rules are triggered less frequently but have an important impact on system performance. In this case, it is possible to consider adjusting the weights of these rules so that more important rules play a greater role in the fuzzy reasoning process.

[0106] In some embodiments, the network-related test system for electrochemical energy storage may include multiple functional modules composed of computer program segments. The computer program of each program segment in the network-related test system for electrochemical energy storage may be stored in the memory of a computer device and executed by at least one processor to perform (see Figure 1 Description) Function of grid-connected testing of electrochemical energy storage.

[0107] In this embodiment, the network-related test system for electrochemical energy storage can be divided into multiple functional modules according to the functions it performs, such as Figure 2 As shown. The functional modules of the system may include: an information acquisition module, an input variable conversion module, a theoretical fuzzy output calculation module and a test rating module. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0108] Optionally, as an embodiment of the present invention, the information acquisition module acquires the frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate of the grid; acquires the actual charge and discharge power after the electrochemical energy storage is connected to the grid;

[0109] Optionally, as an embodiment of the present invention, the input variable conversion module converts the input variables into fuzzy sets after fuzzification processing based on the fuzzy logic algorithm, and the input variables include frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate;

[0110] Optionally, as an embodiment of the present invention, the theoretical fuzzy output calculation module calculates the theoretical fuzzy output based on the fuzzy set and the pre-set fuzzy rules; and calculates the theoretical charge and discharge power based on the defuzzification method combined with the theoretical fuzzy output;

[0111] Optionally, as an embodiment of the present invention, a test rating module calculates the difference between the actual charge and discharge power and the theoretical charge and discharge power, obtains a test rating of the electrochemical energy storage based on the difference and a preset rating threshold, and optimizes and adjusts the electrochemical energy storage based on the theoretical charge and discharge power.

[0112] The grid-related operating environment of electrochemical energy storage equipment is complex and changeable. Factors such as grid conditions and the state of the energy storage equipment itself will make it difficult to describe its operating characteristics with an accurate mathematical model. For example, the frequency and voltage of the grid will be affected by various factors (such as load fluctuations, intermittent access to distributed power sources, etc.) and produce irregular changes. Fuzzy logic does not require an accurate mathematical model, it can handle this uncertainty. By fuzzifying the input variables (power deviation, frequency deviation, voltage deviation) into linguistic variables (such as "positive large", "negative small", etc.), these fuzzy and uncertain information can be effectively represented and processed.

[0113] Complex multivariable relationships: Grid-related testing involves interactions between multiple variables, and the relationships between these variables are difficult to express with simple linear or nonlinear equations. Fuzzy logic can establish fuzzy rules based on expert experience and actual test data to describe these complex multivariable relationships. For example, the fuzzy rule "If the power deviation is positive and large, the frequency deviation is positive and medium, and the voltage deviation is zero, then the control adjustment strategy is a large adjustment" can intuitively express the control strategy that should be adopted under various operating conditions without the need to accurately solve complex mathematical equations to determine this relationship.

[0114] Figure 3 A schematic diagram of the structure of a terminal 300 provided in an embodiment of the present invention. The terminal 300 can be used to execute the network-related testing method for electrochemical energy storage provided in an embodiment of the present invention.

[0115] The terminal 300 may include: a processor 310, a memory 320 and a communication unit 330. These components communicate via one or more buses. Those skilled in the art will appreciate that the server structure shown in the figure does not limit the present invention, and it may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0116] The memory 320 can be used to store the execution instructions of the processor 310, and the memory 320 can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. When the execution instructions in the memory 320 are executed by the processor 310, the terminal 300 can perform some or all of the steps in the following method embodiments.

[0117] The processor 310 is the control center of the storage terminal, and uses various interfaces and lines to connect various parts of the entire electronic terminal. It runs or executes software programs and / or modules stored in the memory 320, and calls data stored in the memory to perform various functions of the electronic terminal and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 310 can only include a central processing unit (CPU). In the embodiment of the present invention, the CPU can be a single computing core or multiple computing cores.

[0118] The communication unit 330 is used to establish a communication channel so that the storage terminal can communicate with other terminals, receive user data sent by other terminals or send user data to other terminals.

[0119] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0120] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes, including several instructions for enabling a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention.

[0121] In this specification, the same or similar parts between the various embodiments can be referred to each other. In particular, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiment.

[0122] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or modules, which can be electrical, mechanical or other forms.

[0123] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0124] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0125] Although the present invention has been described in detail by referring to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person skilled in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, and they shall be within the scope of protection of the present invention.

Claims

1. A network-related testing method for electrochemical energy storage, characterized in that: The following steps are involved: S1, obtaining the frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate of the grid; obtaining the actual charging and discharging power after the electrochemical energy storage is connected to the grid; S2, based on the fuzzy logic algorithm, the input variables are fuzzified and converted into fuzzy sets. The input variables include frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate; S3, based on the fuzzy set and the pre-set fuzzy rules, the theoretical fuzzy output is calculated; and the theoretical charge and discharge power is calculated based on the defuzzification method combined with the theoretical fuzzy output; Each input variable includes five fuzzy sets, namely: Frequency deviation: negative big (NB), negative small (NS), zero (ZE), positive small (PS), positive big (PB); Frequency change rate: fast drop (ND), slow drop (NSD), stable (ST), slow rise (PSU), fast rise (PU); Voltage deviation: negative big (NB), negative small (NS), zero (ZE), positive small (PS), positive big (PB); Voltage change rate: fast drop (ND), slow drop (NSD), stable (ST), slow rise (PSU), fast rise (PU); Set fuzzy sets for the output variable (charging and discharging power), discharge large (DE), discharge small (DS), no action (NO), charge small (CS), charge large (CE); Rule 1: When the frequency deviation is large and drops rapidly, and the voltage deviation is also large and drops rapidly, the system needs to discharge with high power to support grid stability; Rule 2: When the frequency deviation is large and decreasing, but the voltage deviation is small and stable, the system can choose to discharge at a low power; Rule 3: When the frequency deviation is small and decreases slowly, the voltage deviation is zero and stable, and the system remains inactive; Rule 4: When the frequency is close to the rated value and the voltage deviation is small and rising slowly, the system can charge at a low power; Rule 5: When the frequency deviation is small and rising rapidly, and the voltage deviation is large and rising rapidly, the system should perform high-power charging; Rule 6: When all parameters are close to normal and stable, the system remains inactive; S4, calculating the difference between the actual charge and discharge power and the theoretical charge and discharge power, obtaining a test rating of the electrochemical energy storage based on the difference and a preset rating threshold, and optimizing and adjusting the electrochemical energy storage based on the theoretical charge and discharge power.

2. The grid-related testing method for electrochemical energy storage according to claim 1, characterized in that: In step S3, the preset fuzzy rules specifically include: Obtaining deviation information between input variables and their corresponding rated values, and setting fuzzy sets for the input variables based on the deviation information; The output variable fuzzy set is set based on the charging and discharging power and the actual charging and discharging possibility; The fuzzy sets of input variables are combined and combined with the fuzzy sets of output variables to construct a fuzzy rule base.

3. The grid-related testing method for electrochemical energy storage according to claim 2, characterized in that: Based on the triangular membership function, the membership degree of each fuzzy set is calculated to determine the degree to which the input variable belongs to the fuzzy set: Different triangular membership function parameters a, b, c are configured based on the characteristics of each fuzzy set; in, , is the membership degree of the input variable, and x is the input variable.

4. The grid-related testing method for electrochemical energy storage according to claim 3 is characterized in that: A fuzzy rule includes multiple input variables and one output variable. The membership of each input variable fuzzy set is obtained, and the minimum value of all memberships is taken as the membership of the output variable.

5. The grid-related testing method for electrochemical energy storage according to claim 4 is characterized in that: In step S3, the defuzzification adopts the centroid method, which is calculated as: Among them, P is the theoretical charge and discharge power value, n is the number of fuzzy rules, is the membership degree of the fuzzy set of the i-th output variable, is the charging and discharging power value corresponding to the i-th fuzzy set.

6. The grid-related testing method for electrochemical energy storage according to claim 1, characterized in that: The rating thresholds include a first threshold, a second threshold and a third threshold; When the difference is less than the first threshold, it is determined to be qualified; When the difference is not less than the first threshold and less than the second threshold, it is judged as slightly unqualified; When the difference is not less than the second threshold and less than the third threshold, it is judged as moderately unqualified; When the difference is not less than the third threshold, it is determined to be severely unqualified.

7. The grid-related testing method for electrochemical energy storage according to claim 5, characterized in that: In step S4, before obtaining the test rating, whether the theoretical charge and discharge power is reasonable is judged based on the difference between the actual charge and discharge power and the theoretical charge and discharge power. If it is unreasonable, the fuzzy rule base is modified and the parameters of the membership function are adjusted.

8. An electrochemical energy storage network-related testing system, characterized in that: When the system is executed, the grid-related testing method for electrochemical energy storage according to any one of claims 1 to 7 is implemented, and the system includes: The information acquisition module acquires the frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate of the grid; and acquires the actual charging and discharging power of the electrochemical energy storage after being connected to the grid; An input variable conversion module converts the input variables into fuzzy sets after fuzzification based on fuzzy logic algorithm. The input variables include frequency deviation, frequency deviation change rate, grid voltage deviation and voltage deviation change rate. Theoretical fuzzy output calculation module calculates the theoretical fuzzy output based on fuzzy sets and pre-set fuzzy rules; and calculates the theoretical charge and discharge power based on the defuzzification method combined with the theoretical fuzzy output; The test rating module calculates the difference between the actual charge and discharge power and the theoretical charge and discharge power, obtains the test rating of the electrochemical energy storage based on the difference and a preset rating threshold, and optimizes and adjusts the electrochemical energy storage based on the theoretical charge and discharge power.

9. A terminal, characterized in that: include: A memory for storing a network-related test program for electrochemical energy storage; A processor is used to implement the steps of the electrochemical energy storage grid-related testing method as described in any one of claims 1 to 7 when executing the electrochemical energy storage grid-related testing program.

10. A computer-readable storage medium storing a computer program, characterized in that: The readable storage medium stores a network-related test program for electrochemical energy storage, and when the network-related test program for electrochemical energy storage is executed by a processor, the steps of the network-related test method for electrochemical energy storage as described in any one of claims 1-7 are implemented.

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