A grid-connected control system based on UPS self-test

Abstract

This invention relates to the field of UPS self-test technology, specifically disclosing a grid-connected control system based on UPS self-test. The system includes a UPS self-test module, which comprises a data acquisition unit, a load analysis unit, a data correction unit, and an adaptability analysis unit. The load analysis unit analyzes the load status of the UPS during startup by combining all load parameters of the UPS equipment. Based on this data, it corrects the input frequency data of the UPS equipment during startup, thereby eliminating the influence of the UPS load on the accuracy of the input frequency data. This avoids abnormal deviations in the input frequency data caused by large load fluctuations of the UPS equipment, providing reliable data support for subsequent analysis of the compatibility between the UPS equipment and the input power supply, ensuring the reliability of the analysis results, and further guaranteeing the reliability of the UPS equipment self-test results.

Description

Technical Field

[0001] This invention relates to the field of UPS self-testing technology, specifically to a grid-connected control system based on UPS self-testing. Background Technology

[0002] An uninterruptible power supply (UPS) is a power protection device that provides temporary power and stabilizes voltage during power outages. It is mainly used in fields with high requirements for power stability, such as computer networks and medical systems. Its core functions include energy storage, voltage stabilization, and frequency regulation, ensuring that equipment continues to operate during power outages.

[0003] Before a UPS is connected to the grid, a self-test of the compatibility between the UPS and the input power supply is required to determine whether the UPS can be connected to the grid. Specifically, the self-test of the compatibility between the UPS and the input power supply is achieved by comprehensively analyzing data such as voltage fluctuations, input frequency stability, and waveform quality during the UPS startup process. Based on the analysis results, it is determined whether the compatibility between the UPS and the input power supply is good. Based on the self-test results, the rationality of subsequent grid connection and control operations can be improved.

[0004] In existing technologies, UPS devices analyze input power compatibility by monitoring voltage fluctuations, input frequency stability, and waveform quality data during self-testing. However, the input frequency data deviates from the preset value not only when the input power compatibility is poor but also when the UPS load fluctuates significantly. Therefore, if load data is not incorporated and the input frequency data is used directly to analyze the input power compatibility, errors will occur in the analysis results, thus affecting the reliability of the UPS device's self-test results. Summary of the Invention

[0005] The purpose of this invention is to provide a grid-connected control system based on UPS self-testing, solving the following technical problems:

[0006] How to improve the accuracy of UPS equipment and input power compatibility analysis results.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A grid-connected control system based on UPS self-test, the system comprising:

[0009] The UPS self-test module includes a data acquisition unit, a load analysis unit, a data correction unit, and an adaptability analysis unit, which are used to perform a self-test on the operating status of the UPS equipment during the UPS equipment startup process.

[0010] The data acquisition unit is used to acquire real-time input power parameters and load parameters of the UPS equipment during the startup process at fixed time intervals. The input power parameters include the input frequency.

[0011] The load analysis unit is used to analyze the load status of the UPS equipment during the startup process by combining all load parameters of the UPS equipment during startup.

[0012] The data correction unit is used to correct the input frequency data of the UPS equipment during the startup process by taking into account the load conditions of the UPS equipment during startup.

[0013] The adaptive analysis unit is used to analyze the power adaptability of the UPS equipment during the startup process by combining the corrected real-time input power parameters.

[0014] The grid-connected control module is used to perform grid-connected control based on the abnormal analysis results of the input power during the UPS equipment's startup process.

[0015] Furthermore, the input power parameters acquired by the data acquisition unit also include:

[0016] Input voltage and harmonic distortion rate of UPS equipment during startup.

[0017] Furthermore, the analysis process of the load analysis unit includes:

[0018] Through formula Calculate the load fluctuation index of the UPS equipment during startup. ;

[0019] Where i represents any data acquisition by the data acquisition unit during the UPS startup process, and n represents the total number of data acquisitions during the UPS startup process. The operating load of the UPS equipment during the i-th data acquisition during the power-on process. For all The average value, For all The maximum value in.

[0020] Furthermore, the analysis process of the load analysis unit also includes:

[0021] By measuring the load fluctuation index of UPS equipment during startup Compared with the preset load fluctuation index threshold Perform a comparison;

[0022] like The system determines that the UPS equipment experiences large load fluctuations during startup, indicating that there is a sudden change in load during startup.

[0023] like The system determines that the load fluctuation of the UPS equipment is small during the startup process, indicating that there is no sudden load change during the startup process.

[0024] Furthermore, the correction process of the data correction unit includes:

[0025] Through formula Calculate the correlation coefficient between the input frequency of the UPS equipment during startup and the operating load of the equipment. ;

[0026] in, This refers to the input frequency during the i-th data acquisition process of the UPS device during startup. For all The average value.

[0027] Furthermore, the correction process of the data correction unit also includes:

[0028] By comparing the correlation coefficient between the input frequency of the UPS equipment during startup and the operating load of the equipment. Correlation coefficient threshold with preset Perform a comparison;

[0029] like The system determines that the input frequency of the UPS equipment during startup is positively correlated with the operating load of the equipment, meaning that fluctuations in the operating load of the equipment will affect the input frequency.

[0030] like The system determines that the relationship between the input frequency of the UPS equipment during startup and the operating load of the equipment is not positively correlated, which means that fluctuations in the operating load of the equipment have little impact on the input frequency.

[0031] Furthermore, the correction process of the data correction unit includes:

[0032] Through formula Calculate the input frequency stability impact index of the UPS equipment during startup. ;

[0033] in, To adjust the coefficient lookup table function, based on empirical data... The extent to which the range of numerical values ​​affects the stability of the input frequency is determined through testing.

[0034] Furthermore, the analysis process of the adaptive analysis unit includes:

[0035] Through formula Calculate the power compatibility anomaly index of the UPS equipment during startup. ;

[0036] in, This refers to the operating voltage of the UPS device during the i-th data acquisition during the power-on process. For all The average value, The preset voltage fluctuation value, The harmonic distortion rate is the value of the UPS device during the i-th data acquisition process at startup. The preset harmonic distortion rate, The preset input frequency stability affects the exponential threshold.

[0037] Furthermore, the analysis process of the adaptive analysis unit also includes:

[0038] By measuring the power adaptability anomaly index of UPS equipment during startup With respect to the preset power compatibility anomaly index threshold Perform a comparison;

[0039] like The system determines that the UPS equipment has poor compatibility with the input power supply during the startup process, and the input power supply self-test fails.

[0040] like The system determines that the UPS equipment and the input power supply are well compatible during the startup process, and the input power supply passes the self-test.

[0041] Furthermore, the control process of the grid-connected control module includes:

[0042] When it is determined that the UPS equipment has poor compatibility with the input power supply during the startup process, a warning signal is sent to the anti-leakage current backflow device through the grid control module, which immediately triggers the anti-leakage current backflow device to cut off the circuit.

[0043] When it is determined that the UPS equipment and the input power supply are well compatible during the startup process, the UPS equipment is deemed to meet the grid connection conditions, and a grid connection command is sent to the grid-connected boost system.

[0044] The beneficial effects of this invention are:

[0045] (1) This invention analyzes the load of the UPS during startup by combining all load parameters of the UPS during startup with the load analysis unit, and corrects the input frequency data of the UPS during startup based on the data. This eliminates the influence of the UPS load on the accuracy of the input frequency data, thereby avoiding the abnormal deviation of the input frequency data caused by large fluctuations in the UPS load. This provides reliable data support for subsequent analysis of the compatibility between the UPS and the input power supply, ensuring the reliability of the analysis results and further ensuring the reliability of the UPS self-test results.

[0046] (2) This invention measures the load fluctuation index of UPS equipment during startup. Compared with the preset load fluctuation index threshold By comparing the data, we can accurately analyze the load fluctuations of the UPS equipment during startup and further determine whether there are any sudden load changes during startup. Based on this, we can provide reliable data support for subsequent correction of the input frequency data of the UPS equipment during startup, so as to ensure the reliability of the correction results.

[0047] (3) This invention uses the correlation coefficient between the input frequency of the UPS equipment during startup and the operating load of the equipment. Correlation coefficient threshold with preset By comparing the input frequency of the UPS equipment during startup with the operating load, it can be determined whether there is a positive correlation between the input frequency and the operating load of the UPS equipment. In other words, it can be determined whether fluctuations in the operating load of the UPS equipment will cause changes in the input frequency. Based on this, additional data support can be provided for subsequent correction of the input frequency data to ensure the reliability of the correction results.

[0048] (4) This invention measures the power compatibility anomaly index of UPS equipment during startup. With respect to the preset power compatibility anomaly index threshold By comparing the data, an accurate assessment of the compatibility between the UPS and the input power supply during startup can be made. Based on this, the self-test results of the compatibility between the UPS and the input power supply can be further analyzed, thereby providing data support for subsequent grid connection and control decisions and improving the rationality of subsequent grid connection and control operations. Attached Figure Description

[0049] The invention will now be further described with reference to the accompanying drawings.

[0050] Figure 1 This is a schematic block diagram of a grid-connected control system based on UPS self-testing in this invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] Please see Figure 1 As shown, in one embodiment, this application provides a grid-connected control system based on UPS self-test, the system comprising:

[0053] The UPS self-test module includes a data acquisition unit, a load analysis unit, a data correction unit, and an adaptability analysis unit, which are used to perform a self-test on the operating status of the UPS equipment during the UPS equipment startup process.

[0054] The data acquisition unit is used to acquire real-time input power parameters and load parameters of the UPS equipment during the startup process at fixed time intervals. The input power parameters include the input frequency.

[0055] The load analysis unit is used to analyze the load status of the UPS equipment during the startup process by combining all load parameters of the UPS equipment during startup.

[0056] The data correction unit is used to correct the input frequency data of the UPS equipment during the startup process by taking into account the load conditions of the UPS equipment during startup.

[0057] The adaptive analysis unit is used to analyze the power adaptability of the UPS equipment during the startup process by combining the corrected real-time input power parameters.

[0058] The grid-connected control module is used to perform grid-connected control based on the abnormal analysis results of the input power during the UPS equipment's startup process;

[0059] Through the above technical solution, this example provides a UPS self-test module. The UPS self-test module includes a data acquisition unit, a load analysis unit, a data correction unit, and an adaptability analysis unit. During the UPS startup process, the data acquisition unit first collects the real-time input power parameters and load parameters of the UPS during startup at fixed time intervals. The input power parameters include the input frequency. Then, the load analysis unit analyzes the load status of the UPS during startup by combining all load parameters of the UPS during startup. The data correction unit corrects the input frequency data of the UPS during startup by combining the load status of the UPS during startup. Subsequently, the adaptability analysis unit analyzes the power adaptability of the UPS during startup by combining the corrected real-time input power parameters. Finally, the grid connection control module performs grid connection control by combining the abnormal analysis results of the input power of the UPS during startup.

[0060] By configuring the system in this way, the load analysis unit can analyze the load status of the UPS during startup by combining all load parameters of the UPS equipment. Based on this data, the input frequency data of the UPS equipment during startup can be corrected, thus eliminating the influence of the UPS equipment load on the accuracy of the input frequency data. This avoids abnormal deviations in the input frequency data caused by large fluctuations in the UPS equipment load, providing reliable data support for subsequent analysis of the compatibility between the UPS equipment and the input power supply, ensuring the reliability of the analysis results, and further ensuring the reliability of the UPS equipment's self-test results.

[0061] The input power parameters acquired by the data acquisition unit also include:

[0062] Input voltage and harmonic distortion rate of UPS equipment during startup;

[0063] Through the above technical solution, this example provides input power parameters collected by the data acquisition unit, including the input voltage and harmonic distortion rate of the UPS during startup. The input voltage of the UPS during startup reflects the voltage fluctuation during the UPS self-test process. Frequent fluctuations or sudden changes in the input voltage can affect the stable operation of the UPS, thus affecting its normal operation. A high harmonic distortion rate during startup will lead to unstable output voltage of the UPS, making grid connection impossible. Based on this, the power compatibility of the UPS can be analyzed, thereby completing the self-test of the compatibility between the UPS and the input power supply and improving the rationality of subsequent grid connection control operations.

[0064] The analysis process of the load analysis unit includes:

[0065] Through formula Calculate the load fluctuation index of the UPS equipment during startup. ;

[0066] Where i represents any data acquisition by the data acquisition unit during the UPS startup process, and n represents the total number of data acquisitions during the UPS startup process. The operating load of the UPS equipment during the i-th data acquisition during the power-on process. For all The average value, For all The maximum value in;

[0067] Based on the above technical solution, this example provides a load fluctuation index for UPS equipment during startup. It can be done through the formula The calculated data reflects the fluctuation of the UPS equipment's operating load during startup. Based on this data, the input frequency data can be corrected as load data, eliminating the influence of the UPS equipment load on the input frequency data and thus avoiding abnormal deviations in the input frequency data caused by large fluctuations in the UPS equipment load.

[0068] The analysis process of the load analysis unit also includes:

[0069] By measuring the load fluctuation index of UPS equipment during startup Compared with the preset load fluctuation index threshold Perform a comparison;

[0070] like The system determines that the UPS equipment experiences large load fluctuations during startup, indicating that there is a sudden change in load during startup.

[0071] like The system determines that the load fluctuation of the UPS equipment is small during the startup process, indicating that there is no sudden load change during the startup process of the UPS equipment;

[0072] Using the above technical solution, this example demonstrates the load fluctuation index of UPS equipment during startup. Compared with the preset load fluctuation index threshold By comparing the data, we can accurately analyze the load fluctuations of the UPS equipment during startup and further determine whether there are any sudden load changes during startup. Based on this, we can provide reliable data support for subsequent correction of the input frequency data of the UPS equipment during startup, so as to ensure the reliability of the correction results.

[0073] It should be noted that the aforementioned preset load fluctuation index threshold The settings can be fitted based on empirical data.

[0074] The correction process of the data correction unit includes:

[0075] Through formula Calculate the correlation coefficient between the input frequency of the UPS equipment during startup and the operating load of the equipment. ;

[0076] in, This refers to the input frequency during the i-th data acquisition process of the UPS device during startup. For all The average value;

[0077] Through the above technical solution, this example provides the correlation coefficient between the input frequency of the UPS equipment during startup and the operating load of the equipment. It can be done through the formula The calculated data reflects the linear correlation between the UPS operating load and the input frequency during the UPS startup process. In other words, it indicates whether an increase in the UPS operating load will affect the input frequency, and to what extent. Based on this data, additional data support can be provided for subsequent correction of the input frequency data, further improving the reliability of the correction results.

[0078] The correction process of the data correction unit also includes:

[0079] By comparing the correlation coefficient between the input frequency of the UPS equipment during startup and the operating load of the equipment. Correlation coefficient threshold with preset Perform a comparison;

[0080] like The system determines that the input frequency of the UPS equipment during startup is positively correlated with the operating load of the equipment, meaning that fluctuations in the operating load of the equipment will affect the input frequency.

[0081] like The system determines that the relationship between the input frequency of the UPS equipment during startup and the operating load of the equipment is not positively correlated, which means that fluctuations in the operating load of the equipment have little impact on the input frequency.

[0082] By configuring it in this way, this embodiment uses the correlation coefficient between the input frequency of the UPS device during startup and the operating load of the device. Correlation coefficient threshold with preset By comparing the input frequency of the UPS equipment during startup, it is possible to determine whether there is a positive correlation between the input frequency and the operating load of the equipment. In other words, it is possible to determine whether fluctuations in the operating load of the UPS equipment will cause changes in the input frequency. Based on this, additional data support can be provided for subsequent correction of the input frequency data to ensure the reliability of the correction results.

[0083] It should be noted that the above-mentioned preset correlation coefficient threshold... The settings can be fitted based on empirical data.

[0084] The correction process of the data correction unit includes:

[0085] Through formula Calculate the input frequency stability impact index of the UPS equipment during startup. ;

[0086] in, To adjust the coefficient lookup table function, based on empirical data... The extent to which the range of numerical values ​​affects the stability of the input frequency is obtained based on testing.

[0087] Based on the above technical solution, this example provides an index of the impact of input frequency stability on UPS equipment during startup. It can be done through the formula The calculated data reflects the stability of the input frequency during the UPS self-test process. The formula is as follows: The input frequency dispersion coefficient of the UPS equipment during startup can be calculated. A larger value indicates a greater difference between the input frequency data collected during startup, signifying poorer input frequency stability. Conversely, a smaller value indicates a smaller difference between the input frequency data collected during startup, signifying better input frequency stability. Furthermore, a correlation coefficient between the input frequency of the UPS equipment during startup and the operating load can be introduced. Load fluctuation index of UPS equipment during startup By correcting the data, the input frequency dispersion coefficient of the UPS equipment during startup can be corrected, thereby eliminating the influence of the UPS equipment load on the input frequency data and avoiding abnormal deviations in the input frequency data caused by large fluctuations in the UPS equipment load. This ensures the reliability of the input frequency stability analysis during the UPS equipment's startup self-test process, thus providing reliable data support for subsequent power compatibility analysis.

[0088] The analysis process of the adaptive analysis unit includes:

[0089] Through formula Calculate the power compatibility anomaly index of the UPS equipment during startup. ;

[0090] in, This refers to the operating voltage of the UPS device during the i-th data acquisition during the power-on process. For all The average value, The preset voltage fluctuation value, The harmonic distortion rate is the value of the UPS device during the i-th data acquisition process at startup. The preset harmonic distortion rate, The preset threshold for the impact of input frequency stability on the exponential threshold;

[0091] Through the above technical solution, this embodiment provides a power compatibility anomaly index for UPS equipment during startup. It can be done through the formula The calculation yields the result, where the formula is... The operating voltage fluctuation value of the UPS equipment during startup can be calculated. Obviously, the higher the operating voltage fluctuation value of the UPS equipment during startup and the higher the average harmonic distortion rate, the greater the impact of the input frequency stability index on the UPS equipment during startup. The lower the value, the lower the power compatibility anomaly index of the UPS equipment during startup. The higher the value of the input frequency stability index, the lower the compatibility between the UPS equipment and the input power supply. Conversely, the lower the operating voltage fluctuation and average harmonic distortion rate during the UPS equipment's startup process, the better. The higher the value, the higher the power compatibility anomaly index of the UPS equipment during startup. The smaller the value, the better the compatibility between the UPS and the input power supply. This calculation method allows for the analysis of the compatibility between the UPS and the input power supply based on diverse data. Furthermore, the stability of the input frequency during the UPS startup process significantly affects the index. It is obtained based on load data cleaning and correction, so it can eliminate the influence of UPS equipment load on the accuracy of input frequency data, thereby ensuring data reliability and improving the accuracy of calculation results.

[0092] The analysis process of the adaptive analysis unit also includes:

[0093] By measuring the power adaptability anomaly index of UPS equipment during startup With respect to the preset power compatibility anomaly index threshold Perform a comparison;

[0094] like The system determines that the UPS equipment has poor compatibility with the input power supply during the startup process, and the input power supply self-test fails.

[0095] like The system determines that the UPS equipment and the input power supply are well compatible during the startup process, and the input power supply passes the self-test.

[0096] Through the above technical solution, this example demonstrates the abnormal power compatibility index of UPS equipment during startup. With respect to the preset power compatibility anomaly index threshold By comparing the UPS equipment with the input power supply during startup, an accurate judgment can be made. Based on this, the self-test results of the compatibility between the UPS equipment and the input power supply can be further analyzed, thereby providing data support for subsequent grid connection and control decisions and improving the rationality of subsequent grid connection and control operations.

[0097] It should be noted that the above-mentioned preset power compatibility anomaly index threshold The settings can be fitted based on empirical data.

[0098] The control process of the grid-connected control module includes:

[0099] When it is determined that the UPS equipment has poor compatibility with the input power supply during the startup process, a warning signal is sent to the anti-leakage current backflow device through the grid control module, which immediately triggers the anti-leakage current backflow device to cut off the circuit.

[0100] When it is determined that the UPS equipment and the input power supply are well compatible during the startup process, the UPS equipment is deemed to meet the grid connection conditions, and a grid connection command is sent to the grid-connected boost system.

[0101] Through the above technical solution, this example provides the control process of the grid-connected control module. When it is determined that the UPS equipment has poor compatibility with the input power supply during the startup process, the grid-connected control module sends a warning signal to the anti-leakage backflow device, which immediately triggers the anti-leakage backflow device to cut off the circuit. Conversely, when it is determined that the UPS equipment has good compatibility with the input power supply during the startup process, the UPS equipment is determined to meet the grid connection conditions, and a grid connection command is sent to the grid-connected boost system.

[0102] By setting it up in this way, accurate grid connection decisions can be made based on the self-test results of the UPS equipment, thereby ensuring the operational stability of the UPS equipment.

[0103] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A grid-connected control system based on UPS self-test, characterized in that, The system includes: The UPS self-test module includes a data acquisition unit, a load analysis unit, a data correction unit, and an adaptability analysis unit, which are used to perform a self-test on the operating status of the UPS equipment during the UPS equipment startup process. The data acquisition unit is used to acquire real-time input power parameters and load parameters of the UPS equipment during the startup process at fixed time intervals. The input power parameters include the input frequency. The load analysis unit is used to analyze the load status of the UPS equipment during the startup process by combining all load parameters of the UPS equipment during startup. The data correction unit is used to correct the input frequency data of the UPS equipment during the startup process by taking into account the load conditions of the UPS equipment during startup. The adaptive analysis unit is used to analyze the power adaptability of the UPS equipment during the startup process by combining the corrected real-time input power parameters. The grid-connected control module is used to perform grid-connected control based on the abnormal analysis results of the input power during the UPS equipment's startup process; The correction process of the data correction unit includes: Through formula Calculate the correlation coefficient between the input frequency of the UPS equipment during startup and the operating load of the equipment. ; Where i represents any data acquisition by the data acquisition unit during the UPS startup process, and n represents the total number of data acquisitions during the UPS startup process. This refers to the input frequency during the i-th data acquisition process of the UPS device during startup. For all The average value, The operating load of the UPS equipment during the i-th data acquisition during the power-on process. For all The average value; The correction process of the data correction unit includes: Through formula Calculate the input frequency stability impact index of the UPS equipment during startup. ; in, To adjust the coefficient lookup table function, based on empirical data... The extent to which the range of numerical values ​​affects the stability of the input frequency is based on testing. This refers to the load fluctuation index of UPS equipment during startup. The preset load fluctuation index threshold, The correlation coefficient threshold between the input frequency and the operating load of the UPS equipment during the startup process is preset.

2. The grid-connected control system based on UPS self-test according to claim 1, characterized in that, The input power parameters acquired by the data acquisition unit also include: Input voltage and harmonic distortion rate of UPS equipment during startup.

3. The grid-connected control system based on UPS self-test according to claim 1, characterized in that, The analysis process of the load analysis unit includes: Through formula Calculate the load fluctuation index of the UPS equipment during startup. ; in For all The maximum value in.

4. A grid-connected control system based on UPS self-test according to claim 3, characterized in that, The analysis process of the load analysis unit also includes: By measuring the load fluctuation index of UPS equipment during startup Compared with the preset load fluctuation index threshold Perform a comparison; like The system determines that the UPS equipment experiences large load fluctuations during startup, indicating that there is a sudden change in load during startup. like The system determines that the load fluctuation of the UPS equipment is small during the startup process, indicating that there is no sudden load change during the startup process.

5. A grid-connected control system based on UPS self-test according to claim 4, characterized in that, The correction process of the data correction unit also includes: By comparing the correlation coefficient between the input frequency of the UPS equipment during startup and the operating load of the equipment. Correlation coefficient threshold with preset Perform a comparison; like The system determines that the input frequency of the UPS equipment during startup is positively correlated with the operating load of the equipment, meaning that fluctuations in the operating load of the equipment will affect the input frequency. like The system determines that the relationship between the input frequency of the UPS equipment during startup and the operating load of the equipment is not positively correlated, which means that fluctuations in the operating load of the equipment have little impact on the input frequency.

6. A grid-connected control system based on UPS self-test according to claim 1, characterized in that, The analysis process of the adaptive analysis unit includes: Through formula Calculate the power compatibility anomaly index of the UPS equipment during startup. ; in, This refers to the operating voltage of the UPS device during the i-th data acquisition during the power-on process. For all The average value, The preset voltage fluctuation value, The harmonic distortion rate is the value of the UPS device during the i-th data acquisition process at startup. The preset harmonic distortion rate, The preset input frequency stability affects the exponential threshold.

7. A grid-connected control system based on UPS self-test according to claim 6, characterized in that, The analysis process of the adaptive analysis unit also includes: By measuring the power adaptability anomaly index of UPS equipment during startup With respect to the preset power compatibility anomaly index threshold Perform a comparison; like The system determines that the UPS equipment has poor compatibility with the input power supply during the startup process, and the input power supply self-test fails. like The system determines that the UPS equipment and the input power supply are well compatible during the startup process, and the input power supply passes the self-test.

8. A grid-connected control system based on UPS self-test according to claim 7, characterized in that, The control process of the grid-connected control module includes: When it is determined that the UPS equipment has poor compatibility with the input power supply during the startup process, a warning signal is sent to the anti-leakage current backflow device through the grid control module, which immediately triggers the anti-leakage current backflow device to cut off the circuit. When it is determined that the UPS equipment and the input power supply are well compatible during the startup process, the UPS equipment is deemed to meet the grid connection conditions, and a grid connection command is sent to the grid-connected boost system.

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