A grid-adaptability evaluation management method and system for a grid-forming inverter

Abstract

The application provides a network-constructing inverter power grid adaptability evaluation management method and system, the method comprises the following steps: obtaining historical operation data of the inverter when the inverter operates in the power grid, and filtering the historical operation data; determining the operation problem corresponding to the abnormal operation of the inverter, obtaining test items and test backgrounds corresponding to the test items; functionally debugging the test equipment based on the test items and the corresponding test backgrounds; testing the target inverter through the test equipment; obtaining power grid information needing to apply the target inverter, matching the test items according to the power grid information, and taking the test background corresponding to the test items as the power grid background; and adaptively evaluating the target inverter based on the power grid background and the test data, and obtaining an adaptability evaluation result. The application can guarantee the normal operation of the inverter, provide a powerful guarantee for the stable operation of the new energy power generation system, and meet the application requirements under different power grid conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of inverters, and in particular to a method and system for evaluating and managing the adaptability of a grid-connected inverter. Background Art

[0002] In a renewable energy power generation system, the inverter is a key device whose stable operation is crucial to the reliability and power quality of the entire power grid. However, during actual operation, the inverter will face various complex grid conditions, which may cause various abnormal problems of the inverter, including but not limited to:

[0003] Abnormal voltage: If the grid voltage is too high or too low, the inverter may not work properly or may shut down due to protection.

[0004] Frequency deviation: The grid frequency fluctuation exceeds the inverter's tolerance range, affecting the inverter's output stability and efficiency.

[0005] Three-phase imbalance: Unbalanced three-phase voltage in the power grid may cause distortion in the inverter output current waveform and increase harmonic content.

[0006] Harmonic pollution: Harmonic components in the power grid may interfere with the normal operation of the inverter and even damage the equipment.

[0007] The above abnormal problems may cause the inverter to fail to work properly. Based on this, it is urgent to provide a grid adaptability evaluation management method and system for a grid-connected inverter to ensure the normal operation of the inverter. Summary of the Invention

[0008] The purpose of the present invention is to provide a grid adaptability assessment and management method and system for a grid-connected inverter, which is used to solve the various complex grid conditions faced by the grid-connected inverters in the prior art during actual operation, which may cause various abnormalities in the inverter. It can ensure the normal operation of the inverter, provide strong guarantees for the stable operation of the new energy power generation system, and meet the application requirements under different grid conditions.

[0009] To achieve the above objectives, in a first aspect, the present invention provides a method for evaluating and managing grid adaptability of a grid-connected inverter, comprising:

[0010] Step 1: Obtain historical operating data of the inverter when it is running in the power grid, filter the historical operating data, select the historical operating data corresponding to the abnormal operation, and mark it as material analysis data;

[0011] Step 2: Identify the material analysis data to determine the corresponding operating problems when the inverter is operating abnormally. Filter out the operating problems related to the inverter itself and mark them as abnormal problems. Set corresponding test items based on the abnormal problems, identify the test items, and obtain the test background corresponding to the test items.

[0012] Step 3: Perform functional debugging on the test equipment based on the test items and the corresponding test background; the test equipment is used to test the target inverter;

[0013] Step 4: Test the target inverter using the test equipment to obtain test data of the target inverter under the test items and the corresponding test background. The test data includes an abnormality probability, which is the probability of an abnormality occurring when the target inverter is tested under the test item under the test background, as determined after multiple tests.

[0014] Step 5: Obtain the grid information of the target inverter, match the test items according to the grid information, and use the test background corresponding to the test items as the grid background;

[0015] Step 6: Perform adaptability evaluation on the target inverter based on the grid background and test data to obtain adaptability evaluation results.

[0016] According to a grid adaptability assessment and management method for a grid-connected inverter provided by the present invention, in step 1, historical operation data is screened, and historical operation data corresponding to abnormal operation is selected and marked as material analysis data, including:

[0017] Establish a material screening model, input historical operation data into the material screening model, and obtain the material screening value. The expression of the material screening model is:

[0018]

[0019] Where s is the input historical operation data, FP(s) is the material screening value;

[0020] Output the historical operation data corresponding to the material filter value of 1, marked as material analysis data.

[0021] According to a grid adaptability assessment and management method for a grid-connected inverter provided by the present invention, in step 2, if a test item corresponds to only one abnormal problem, the test item is identified to obtain a test background corresponding to the test item, specifically including:

[0022] Identify the abnormal problem corresponding to the test item, determine the abnormal cause corresponding to the abnormal problem, and set the test background according to the abnormal cause; the test background is the test condition set to simulate the abnormal cause.

[0023] According to a grid adaptability assessment and management method for a grid-connected inverter provided by the present invention, in step 2, if a test item corresponds to multiple abnormal problems, the test item is identified to obtain a test background corresponding to the test item, specifically including:

[0024] Identify multiple abnormal issues corresponding to test items;

[0025] Determine multiple abnormal causes corresponding to multiple abnormal problems;

[0026] Combine multiple abnormal causes to obtain the test background corresponding to the test item.

[0027] According to a grid adaptability assessment and management method for a grid-connected inverter provided by the present invention, multiple abnormal causes are combined to obtain a test background corresponding to the test item, including:

[0028] Step SA1: determining a plurality of test conditions corresponding to a plurality of abnormal causes, wherein the test conditions simulate inverter operating conditions corresponding to the abnormal causes;

[0029] Step SA2: Establish a test evaluation model. The test evaluation model is used to evaluate multiple test conditions based on test standard data to determine whether the same test condition can meet the test requirements of multiple abnormal causes. The expression of the test evaluation model is:

[0030]

[0031] Where q is at least two test conditions of the input, PU ( q ) is the test combined value;

[0032] Step SA3: Input at least two test conditions into the test evaluation model to obtain a test combined value, and combine at least two test conditions whose test combined value is 1 to obtain a new test condition;

[0033] Step SA4: Repeat step SA3 multiple times until all test conditions cannot be merged, and obtain the test background corresponding to the test item based on the remaining test conditions and the new test conditions.

[0034] According to a grid adaptability assessment and management method for a grid-connected inverter provided by the present invention, step 6 specifically includes:

[0035] Count the occurrence probability of the power grid background, marked as background probability;

[0036] Evaluate the power grid background based on the test data and obtain the abnormal probability of the test items corresponding to the target inverter under the power grid background;

[0037] According to formula (1), the single item value corresponding to the test item is calculated.

[0038]

[0039] Where, DP j is the single value of test item j; n is the number of power grid backgrounds corresponding to test item j, and n is a positive integer; YAi is the abnormal probability of test item j under power grid background i; BAi is the background probability of power grid background i;

[0040] Calculate the adaptation evaluation value corresponding to the single value according to formula (2);

[0041]

[0042]

[0043] Where, PW is the adaptation evaluation value; m is the number of test items, m is a positive integer; DP j is the single value of test item j; δj is the reference value of test item j; X1 is the threshold; is the intermediate parameter;

[0044] According to the relationship between the adaptation evaluation value and the preset value, it is judged whether the target inverter is adapted to the power grid.

[0045] According to a grid adaptability assessment and management method for a grid-connected inverter provided by the present invention, the method further includes step 7: after the grid information is updated, the adaptability assessment and adjustment of the target inverter are performed according to the updated grid information to obtain an updated adaptability assessment result.

[0046] In a second aspect, the present invention further provides a grid adaptability evaluation and management system for a grid-connected inverter, comprising:

[0047] An acquisition module is used to obtain historical operating data of the inverter when it is running in the power grid, filter the historical operating data, select the historical operating data corresponding to the abnormal operation, and mark it as material analysis data;

[0048] The identification and analysis module is used to identify the material analysis data, determine the corresponding operating problems when the inverter is operating abnormally, screen out the operating problems related to the inverter itself, mark them as abnormal problems, set corresponding test items based on the abnormal problems, identify the test items, and obtain the test background corresponding to the test items;

[0049] The debugging module is used to debug the functions of the test equipment based on the test items and the corresponding test background; the test equipment is used to test the target inverter;

[0050] A test module is used to test the target inverter using a test device to obtain test data of the target inverter under the test items and the corresponding test background. The test data includes an abnormality probability, which is the probability of an abnormality occurring when the target inverter is tested on the test item under the test background, determined after multiple tests.

[0051] A matching module is used to obtain the grid information where the target inverter is to be applied, match the test items according to the grid information, and use the test background corresponding to the test items as the grid background;

[0052] The evaluation module is used to evaluate the adaptability of the target inverter based on the power grid background and obtain an adaptability evaluation result.

[0053] The present invention provides a grid adaptability assessment and management method and system for grid-connected inverters. By deeply analyzing the inverter's historical operating data, the system identifies anomalies and corresponding grid conditions, integrates test context, and then performs inverter adaptability testing based on these test contexts. The system also includes functions such as grid context assessment, inverter application selection, and monitoring result adjustment. This ensures the normal operation of the inverter, provides strong support for the stable operation of new energy power generation systems, and can meet application requirements under different grid conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0055] In the attached figure:

[0056] Figure 1 This is a flow chart of a grid adaptability assessment and management method for a grid-connected inverter according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0058] The following will describe some embodiments of the present invention in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments may be combined with each other.

[0059] See also Figure 1 The embodiment of the present invention provides a method for evaluating and managing grid adaptability of a grid-connected inverter, comprising the following steps:

[0060] Step 1: Obtain historical operating data of the inverter when it is running in the power grid, filter the historical operating data, select the historical operating data corresponding to the abnormal operation, and mark it as material analysis data;

[0061] In some embodiments, historical operation data may be screened based on existing technologies.

[0062] In some embodiments, historical operation data is filtered, and historical operation data corresponding to the abnormal operation is selected and marked as material analysis data, including:

[0063] A material screening model is established, and historical operation data is input into the material screening model to obtain the material screening value. The expression of the material screening model is:

[0064]

[0065] Where s is the input historical operating data, and FP(s) is the material screening value. The corresponding abnormal data judgment criteria can be defined in advance, such as setting them based on the abnormal data identification criteria in the current field or setting them based on user needs. The historical operating data is judged and those that meet the abnormal data judgment criteria are considered abnormal data.

[0066] Output the historical operation data corresponding to the material filter value of 1, marked as material analysis data.

[0067] It should be noted that since historical operation data is generally massive, it is faster and more convenient to set the judgment criteria for abnormal data in advance and output the material screening value through the material analysis model, and directly mark the input historical operation data with the output material screening value of 1 as material analysis data.

[0068] Step 2: Identify the material analysis data to determine the corresponding operating problems when the inverter is operating abnormally. Filter out operating problems related to the inverter itself, that is, eliminate operating problems that are not related to the inverter itself or are affected by the power grid. For example, non-inverter problems such as human damage are marked as abnormal problems. Set corresponding test items based on the abnormal problems, identify the test items, and obtain the test background corresponding to the test items;

[0069] Specifically, if a test item corresponds to only one abnormal problem, the test item is identified to obtain the test context corresponding to the test item, including:

[0070] Identify the abnormal problem corresponding to the test item, determine the abnormal cause corresponding to the abnormal problem, and set the test background according to the abnormal cause; the test background is the test condition set to simulate the abnormal cause.

[0071] If a test item corresponds to multiple abnormal issues, the test item is identified and the test context corresponding to the test item is obtained, including:

[0072] Identify multiple abnormal issues corresponding to test items;

[0073] Determine multiple abnormal causes corresponding to multiple abnormal problems;

[0074] Combine multiple abnormal causes to obtain the test background corresponding to the test item.

[0075] It should be noted that test items are set according to abnormal problems. The test items are used to test whether the inverter has the abnormal problem. Some test items may correspond to multiple abnormal problems because the data tested by the test item can be used to judge multiple abnormal problems. Therefore, multiple abnormal problems corresponding to the test items are identified, and multiple abnormal causes corresponding to the test items are determined based on the multiple abnormal problems. The multiple abnormal causes are merged to obtain the test background corresponding to the test items.

[0076] Among them, multiple abnormal causes are combined to obtain the test background corresponding to the test item, including:

[0077] Step SA1: determining a plurality of test conditions corresponding to a plurality of abnormal causes, wherein the test conditions simulate inverter operating conditions corresponding to the abnormal causes;

[0078] Step SA2: Establish a test evaluation model. The test evaluation model is used to evaluate multiple test conditions based on test standard data to determine whether the same test condition can meet the test requirements of multiple abnormal causes. This determination can be made through simulation, experimentation, and historical data analysis. The expression of the test evaluation model is:

[0079]

[0080] Where q is at least two test conditions of the input, PU ( q ) is the test combined value; if the common test requirements are met, the same test conditions can be used for testing, and the same test conditions meet the test requirements.

[0081] Test standard data includes inverter testing regulations and requirements, etc.

[0082] Step SA3: Input at least two test conditions into the test evaluation model to obtain a test combined value, and combine at least two test conditions whose test combined value is 1 to obtain a new test condition;

[0083] Among them, merging at least two test conditions whose test merging values ​​are 1 refers to analyzing and determining that the test conditions whose test merging values ​​between the corresponding test conditions are 1 are merged. For example, if three test conditions are input, if the test merging value between the three test conditions is 1, the three test conditions input are merged. If the test merging value between only two test conditions is 1, the corresponding two test conditions are merged.

[0084] Step SA4: Repeat step SA3 multiple times until all test conditions cannot be merged, and obtain the test background corresponding to the test item based on the remaining test conditions and the new test conditions.

[0085] Step 3: Perform functional debugging on the test equipment based on the test items and the corresponding test background; the test equipment is used to test the target inverter;

[0086] Specifically, the test equipment is an existing equipment for testing the inverter; and the function of the test equipment is debugged, that is, the test equipment is adjusted to meet the test items and test background.

[0087] Step 4: Test the target inverter using the test equipment to obtain test data of the target inverter under the test items and the corresponding test background. The test data includes an abnormality probability, which is the probability of an abnormality occurring when the target inverter is tested under the test item under the test background, as determined after multiple tests.

[0088] Specifically, the inverter that needs to be tested is marked as the target inverter, and the target inverter is tested by the test equipment to obtain the corresponding test data of the target inverter under the test item and the corresponding test background. The test data includes the abnormality probability, which is the probability of abnormality when the target inverter is tested on the test item under the test background after multiple tests.

[0089] Step 5: Obtain the grid information of the target inverter, match the test items according to the grid information, and use the test background corresponding to the test items as the grid background;

[0090] Specifically, the test items are matched according to the grid information, that is, the background conditions that are the same as the test items are determined according to the grid information; and the test background corresponding to the test items is used as the grid background. In other words, the grid background corresponding to the test items can be determined by combining the grid information.

[0091] Step 6: Perform adaptability evaluation on the target inverter based on the grid background and test data to obtain adaptability evaluation results.

[0092] In some embodiments, step 6 specifically includes:

[0093] Count the occurrence probability of the power grid background, marked as background probability, which can be based on the corresponding historical power grid data; or the occurrence probability statistics in the existing power grid database can be retrieved;

[0094] Evaluate the power grid background based on the test data and obtain the abnormal probability of the test items corresponding to the target inverter under the power grid background;

[0095] According to formula (1), the single item value corresponding to the test item is calculated.

[0096]

[0097] Where, DP j is the single value of test item j; n is the number of power grid backgrounds corresponding to test item j, and n is a positive integer; YAi is the abnormal probability of test item j under power grid background i; BAi is the background probability of power grid background i;

[0098] Calculate the adaptation evaluation value corresponding to the single value according to formula (2);

[0099]

[0100] Where, PW is the adaptation evaluation value; m is the number of test items, m is a positive integer; DP j is the single value of test item j; δj is the reference value of test item j;

[0101] Among them, δj is set according to the impact of an abnormality in test item j on the operation of the inverter, and all benchmark values ​​are greater than 1; the specific setting is made by the platform.

[0102]

[0103] Where X1 is the threshold, is the intermediate parameter.

[0104] According to the relationship between the adaptation evaluation value and the preset value, it is judged whether the target inverter is adapted to the power grid.

[0105] Specifically, if the adaptation evaluation value is greater than a preset value, the target inverter is not adapted to the grid; if the adaptation evaluation value is less than or equal to the preset value, the target inverter is adapted to the grid.

[0106] In some embodiments, the method further includes step 7: after the grid information is updated, performing adaptability evaluation and adjustment on the target inverter according to the updated grid information to obtain an updated adaptability evaluation result.

[0107] Specifically, since the grid information is updated, the corresponding matching test items are also updated, and the corresponding grid background is also updated, then an updated adaptability evaluation result is obtained based on the updated grid background, and thus the adaptability evaluation result can be adjusted in real time.

[0108] It should be noted that the above formulas are all calculated by removing dimensions and taking their numerical values. The formulas are the closest to the actual situation obtained by collecting a large amount of data for software simulation and analysis. The parameters and thresholds in the formulas are set according to the actual situation or obtained by simulating a large amount of data.

[0109] Based on the same inventive concept, another embodiment further provides a grid adaptability evaluation and management system for a grid-connected inverter. The system corresponds to the method of the aforementioned embodiment and includes:

[0110] An acquisition module is used to obtain historical operating data of the inverter when it is running in the power grid, filter the historical operating data, select the historical operating data corresponding to the abnormal operation, and mark it as material analysis data;

[0111] The identification and analysis module is used to identify the material analysis data, determine the corresponding operating problems when the inverter is operating abnormally, screen out the operating problems related to the inverter itself, mark them as abnormal problems, set corresponding test items based on the abnormal problems, identify the test items, and obtain the test background corresponding to the test items;

[0112] The debugging module is used to debug the functions of the test equipment based on the test items and the corresponding test background; the test equipment is used to test the target inverter;

[0113] A test module is used to test the target inverter using a test device to obtain test data of the target inverter under the test items and the corresponding test background. The test data includes an abnormality probability, which is the probability of an abnormality occurring when the target inverter is tested on the test item under the test background, determined after multiple tests.

[0114] A matching module is used to obtain the grid information where the target inverter is to be applied, match the test items according to the grid information, and use the test background corresponding to the test items as the grid background;

[0115] The evaluation module is used to evaluate the adaptability of the target inverter based on the power grid background and obtain an adaptability evaluation result.

[0116] In summary, the grid adaptability assessment and management method and system for grid-connected inverters provided by this invention deeply analyzes the inverter's historical operating data, identifies abnormalities and corresponding grid conditions, integrates test context, and then performs inverter adaptability testing based on these test contexts. Furthermore, the system also includes functions such as grid context determination, inverter application selection, and monitoring result adjustment. These functions ensure the normal operation of the inverter, provide strong support for the stable operation of new energy power generation systems, and meet application requirements under different grid conditions.

[0117] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the embodiments disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and variations can be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A grid adaptability evaluation and management method for a grid-connected inverter, characterized in that: include: Step 1: Obtain historical operating data of the inverter when it is operating in the power grid, filter the historical operating data, select historical operating data corresponding to abnormal operation, and mark it as material analysis data; Step 2: Identify the material analysis data, determine the operating problems corresponding to the inverter when it is operating abnormally, screen out the operating problems related to the inverter itself, mark them as abnormal problems, set corresponding test items according to the abnormal problems, identify the test items, and obtain the test background corresponding to the test items; Step 3: Performing functional debugging on the test equipment based on the test items and the corresponding test background; the test equipment is used to test the target inverter; Step 4: Testing the target inverter using the test equipment to obtain test data of the target inverter under the test item and the corresponding test background, wherein the test data includes an abnormality probability, which is the probability of an abnormality occurring when the target inverter is tested on the test item under the test background, as determined after multiple tests; Step 5: Obtain grid information where the target inverter is to be applied, match test items according to the grid information, and use the test background corresponding to the test item as the grid background; Step 6: Perform an adaptability evaluation on the target inverter based on the power grid background and test data to obtain an adaptability evaluation result.

2. The grid adaptability evaluation and management method of a grid-connected inverter according to claim 1, characterized in that: In step 1, the historical operation data is screened, and the historical operation data corresponding to the abnormal operation is selected and marked as material analysis data, including: A material screening model is established, and the historical operation data is input into the material screening model to obtain a material screening value. The expression of the material screening model is: Where s is the input historical operation data, FP(s) is the material screening value; The historical operation data corresponding to the material screening value of 1 is output and marked as the material analysis data.

3. The grid adaptability evaluation and management method of a grid-connected inverter according to claim 1, characterized in that: In step 2, if a test item corresponds to only one abnormal problem, the test item is identified to obtain a test context corresponding to the test item, specifically including: Identify the abnormal problem corresponding to the test item, determine the abnormal cause corresponding to the abnormal problem, and set a test background according to the abnormal cause; the test background is a test condition set to simulate the abnormal cause.

4. The grid adaptability evaluation and management method of a grid-connected inverter according to claim 3, characterized in that: In step 2, if a test item corresponds to multiple abnormal problems, the test item is identified to obtain a test context corresponding to the test item, specifically including: Identifying multiple abnormal problems corresponding to the test items; Determine multiple abnormal causes corresponding to multiple abnormal problems; Multiple abnormal causes are combined to obtain a test background corresponding to the test item.

5. The grid adaptability evaluation and management method of a grid-connected inverter according to claim 4, characterized in that: The combining of multiple abnormal causes to obtain a test context corresponding to the test item includes: Step SA1: determining a plurality of test conditions corresponding to a plurality of abnormal causes, wherein the test conditions are inverter operating conditions corresponding to the simulated abnormal causes; Step SA2: Establish a test evaluation model. The test evaluation model is used to evaluate multiple test conditions based on test standard data to determine whether the same test condition can meet the test requirements of multiple abnormal causes. The expression of the test evaluation model is: Where q is at least two test conditions of the input, PU ( q ) is the test combined value; Step SA3: Input at least two test conditions into the test evaluation model to obtain a test combined value, and combine at least two test conditions whose test combined value is 1 to obtain a new test condition; Step SA4: Repeat step SA3 multiple times until all test conditions cannot be merged, and obtain the test background corresponding to the test item based on the remaining test conditions and the new test conditions.

6. The grid adaptability evaluation and management method of a grid-connected inverter according to claim 1, characterized in that: The step 6 specifically includes: Counting the occurrence probability of the power grid background, and marking it as background probability; Evaluate the power grid background according to the test data to obtain an abnormal probability of the test item corresponding to the target inverter under the power grid background; According to formula (1), the single item value corresponding to the test item is calculated. Where, DP j is the single value of test item j; n is the number of power grid backgrounds corresponding to test item j, and n is a positive integer; YAi is the abnormal probability of test item j under power grid background i; BAi is the background probability of power grid background i; Calculate the adaptation evaluation value corresponding to the single value according to formula (2); Where, PW is the adaptation evaluation value; m is the number of test items, m is a positive integer; DP j is the single value of test item j; δj is the reference value of test item j; X1 is the threshold; is the intermediate parameter; Whether the target inverter is adapted to the power grid is determined based on a magnitude relationship between the adaptation evaluation value and a preset value.

7. The grid adaptability evaluation and management method of a grid-connected inverter according to claim 1, characterized in that: The method further includes step 7: after the grid information is updated, performing adaptability evaluation and adjustment on the target inverter according to the updated grid information to obtain an updated adaptability evaluation result.

8. A grid adaptability evaluation and management system for grid-connected inverters, characterized in that: include: An acquisition module is used to acquire historical operating data of the inverter when it is running in the power grid, filter the historical operating data, select the historical operating data corresponding to the abnormal operation, and mark it as material analysis data; an identification and analysis module, configured to identify the material analysis data, determine the operating problems corresponding to the inverter when it is operating abnormally, screen out the operating problems related to the inverter itself, mark them as abnormal problems, set corresponding test items based on the abnormal problems, identify the test items, and obtain a test background corresponding to the test items; A debugging module, configured to perform functional debugging on the test equipment based on the test items and the corresponding test context; The testing equipment is used to test the target inverter; a testing module, configured to test the target inverter using the testing device to obtain test data of the target inverter under a test item and a corresponding test context, wherein the test data includes an abnormality probability, which is a probability determined through multiple tests that an abnormality will occur when the target inverter is tested on the test item under the test context; a matching module, configured to obtain grid information on which the target inverter is to be applied, match test items according to the grid information, and use a test background corresponding to the test item as a grid background; An evaluation module is used to perform adaptability evaluation on the target inverter based on the power grid background and test data to obtain an adaptability evaluation result.

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