Functional solution algorithm and medium of intelligent low-voltage distribution system

Abstract

This invention relates to the field of power distribution system technology, specifically disclosing a functional solution algorithm and medium for a smart low-voltage power distribution system. The algorithm includes the following steps: A leakage current signal acquisition module collects leakage current signals from the cables of all electrical equipment in the low-voltage power distribution system during use in real time. After waveform offsetting is completed, a data correction module, combined with the operating status data of the sensor group and environmental data, corrects the remaining voltage data after the leakage fault handling, making the remaining voltage data collected by the sensor group closer to the true value. Based on this corrected remaining voltage data, which is closer to the true value, an accurate analysis of the waveform offsetting operation's qualification can be made, and a precise judgment can be made on the stability of the waveform offsetting function, thereby solving the problem of insufficient functionality in the low-voltage power distribution system.

Description

Technical Field

[0001] This invention relates to the field of power distribution system technology, specifically to functional solution algorithms and media for intelligent low-voltage power distribution systems. Background Technology

[0002] Low-voltage power distribution systems are a crucial link in the power system that distributes electrical energy from power sources, such as transformers, to end users. These systems are widely used in industrial, commercial, and civil buildings, and their design, operation, and maintenance directly affect the reliability, safety, and economy of power supply.

[0003] In order to ensure safe operation, low-voltage power distribution systems typically use leakage current signal acquisition modules to collect leakage current signals from the cables of all electrical equipment in the system during use. When a leakage current signal is collected, the system automatically generates a counteracting waveform signal with the same frequency, equal amplitude, and opposite phase as the collected signal based on the waveform offsetting function and program algorithm. This offsetting principle is based on the superposition characteristics of waveforms. When two such waveforms meet, they cancel each other out, thereby effectively reducing the residual leakage voltage at the leakage point and rapidly reducing it to the safe voltage range for human use, thus ensuring personnel safety.

[0004] In existing technologies, after the waveform offsetting function in low-voltage power distribution systems completes the offsetting operation, it typically analyzes the leakage risk and offsetting effect by monitoring the magnitude of the residual voltage. However, when collecting the residual voltage data after offsetting, due to the imperfections of common low-voltage power distribution system functions, the collected residual voltage data is affected by various factors, resulting in artificially high residual voltage data. This affects the accuracy of the waveform offsetting effect analysis results and the stability analysis results of the waveform offsetting function. Summary of the Invention

[0005] The purpose of this invention is to provide a functional solution algorithm and medium for intelligent low-voltage power distribution systems, addressing the following technical problems:

[0006] How to solve the problem of insufficient functionality in low-voltage power distribution systems.

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

[0008] The functional solution algorithm and medium for intelligent low-voltage power distribution systems, wherein the algorithm includes the following steps:

[0009] S1: The leakage current signal acquisition module is used to collect leakage current signals of cables of all electrical equipment in the low-voltage power distribution system in real time during use.

[0010] S2: When a leakage current signal is acquired, the waveform offset module automatically generates an offset waveform signal with the same frequency, equal amplitude, and opposite phase as the acquired signal according to the program algorithm and performs waveform offset.

[0011] S3: After the waveform offsetting operation is completed, the data acquisition module uses the sensor group to collect the remaining voltage data after the leakage accident is handled.

[0012] S4: The data correction module, combined with the operating status data of the sensor group and environmental data, corrects the remaining voltage data after the leakage accident is handled.

[0013] S5: By combining the residual voltage correction data after the leakage accident is handled, the qualification status of the waveform offset operation is analyzed;

[0014] S6: By combining the residual voltage correction data after the handling of leakage accidents over a period of time, the stability of the waveform offset function is analyzed, and when the stability of the waveform offset function is judged to be poor, an early warning is issued through the early warning module.

[0015] Furthermore, the correction process in S4 includes:

[0016] S41: When the data acquisition module collects the remaining voltage data after the leakage current accident has been handled, the sensor group's operating status data and environmental data are also collected.

[0017] S42: Correct the maximum effective range of the sensor group by combining the operating status data of the sensor group with environmental data;

[0018] S43: By combining the maximum effective range of the sensor group after correction with environmental data, the remaining voltage data after the leakage current accident is handled is corrected.

[0019] Furthermore, the correction process in S42 includes:

[0020] Through formula Calculate the effective range error index of the sensor group during the handling of the i-th leakage current accident. ;

[0021] Where i represents any single leakage current incident handling, This represents the operating voltage value of the sensor group during the handling of the i-th leakage current accident. The preset operating voltage value, Let be the load impedance of the sensor group during the handling of the i-th leakage current accident. The preset load impedance, Let be the ambient magnetic field strength during the handling of the i-th leakage current accident. The preset magnetic field strength, for The standard value, To define a function, if Then let Otherwise, let 'a' represents any day in the historical usage of the sensor group, and 'n' represents the total number of days in the historical usage of the sensor group. The average humidity on day a during the historical use of the sensor group. The aging coefficient of the sensor group is set based on empirical fitting. and These are weighting coefficients, set based on empirical fitting.

[0022] Furthermore, the correction process in S42 also includes:

[0023] The effective range error index of the sensor group during the handling of the i-th leakage current accident was determined by... Values ​​are assigned to generate an effective range error index for the sensor group that is between 0.05 and 0.2, and that varies with the effective range of the sensor group during the handling of the i-th leakage current accident. The effect of the sensor group's effective range error on the handling of the i-th leakage current accident is increased by the increase in the value of the sensor group's effective range error.

[0024] Among them, the effective range error index of the sensor group during the handling of the i-th leakage current accident is... The effective range error influence value of the sensor group during the handling of the corresponding i-th leakage current accident is defined as follows: ;

[0025] And through the formula Calculate the corrected maximum effective range of the sensor group during the handling of the i-th leakage current accident. ;

[0026] in, This represents the maximum effective range of the sensor group.

[0027] Furthermore, the correction process in S43 includes:

[0028] After the i-th leakage accident is handled, the remaining voltage value of the leakage point is collected at fixed time intervals to perform a leakage point voltage monitoring operation.

[0029] Through formula Calculate the residual voltage correction value at the z-th residual voltage acquisition after the i-th leakage current fault handling is completed. ;

[0030] Where z represents any time point in a single leakage current voltage monitoring operation where the residual voltage value is collected at fixed time intervals. This represents the residual voltage value collected during the z-th residual voltage acquisition after the i-th leakage current accident has been handled. The ambient magnetic field strength at the time of the z-th residual voltage acquisition after the i-th leakage current accident is handled. The cable grounding resistance is the value at the time of the z-th residual voltage acquisition after the i-th leakage current accident has been handled. The preset grounding resistance, The adjustment coefficient lookup table function has a range of values ​​that are related to... The values ​​of each number correspond one-to-one.

[0031] Furthermore, the analysis process in S5 includes:

[0032] The residual voltage correction value at each monitoring time point after the i-th leakage current incident is handled. Each with a preset residual voltage threshold Perform a comparison;

[0033] If all All less than or equal to If the residual voltage drops to within the safety limit after the i-th leakage fault is handled, it means that the waveform offset function is operating well during the i-th operation, and the stability of the waveform offset function is further analyzed.

[0034] If any Greater than If the residual voltage after the i-th leakage fault is handled is not reduced to within the safety limit, it means that the waveform offset function is in an abnormal operating state during the i-th operation and an alarm is triggered.

[0035] Furthermore, the analysis process in S6 includes:

[0036] When the waveform offset function is judged to be operating well during the i-th operation;

[0037] Through formula The leakage voltage drop was calculated at the time of the z-th residual voltage value acquisition after the i-th leakage fault handling was completed. ;

[0038] And through the formula Calculate the coefficient of variation of the leakage voltage drop after the i-th leakage accident is handled. ;

[0039] in, y represents the voltage at the leakage point before the offset when the i-th leakage accident occurs, and y represents the total number of times the remaining voltage value is collected after the i-th leakage accident is handled.

[0040] Furthermore, the analysis process in S6 also includes:

[0041] By using the coefficient of variation of the leakage voltage drop after the i-th leakage fault is handled With the preset discrete coefficient threshold Perform a comparison;

[0042] like If, during a voltage monitoring operation at the leakage point after the i-th leakage accident is handled, there is an abnormal fluctuation in the voltage at the leakage point, it indicates that the stability of the waveform offset function is not up to standard.

[0043] like If, during a voltage monitoring operation at the leakage point after the i-th leakage accident is handled, there are no abnormal fluctuations in the voltage at the leakage point, it means that the stability of the waveform offset function meets the standard.

[0044] A storage medium storing a functional solution algorithm for a smart low-voltage power distribution system, wherein when the program of the functional solution algorithm for the smart low-voltage power distribution system is executed by a processor, the steps of the functional solution algorithm for the smart low-voltage power distribution system are implemented.

[0045] The beneficial effects of this invention are:

[0046] (1) This invention corrects the residual voltage data after the leakage current accident is handled by combining the data correction module with the operating status data of the sensor group and the environmental data after the waveform offset operation is completed. This makes the residual voltage data collected by the sensor group after the leakage current accident is handled closer to the true value. Then, based on the residual voltage correction data that is closer to the true value, the qualified status of the waveform offset operation can be accurately analyzed, and the stability of the waveform offset function can be accurately judged, thereby solving the problem of the imperfect function of the low voltage power distribution system.

[0047] (2) The present invention first combines the operating status data of the sensor group with the environmental data to correct the maximum effective range of the sensor group. The corrected data can be closer to the true value. Then, based on the data and environmental data, the remaining voltage data after the leakage accident is handled can be corrected, thereby realizing the cleaning of the remaining voltage data after the leakage accident is handled, making the read data closer to the true value, thus providing accurate data support for the subsequent analysis of the stability of the waveform offset function, so as to ensure the accuracy of the analysis results.

[0048] (3) The present invention corrects the residual voltage at each monitoring time point after the completion of the i-th leakage current accident handling. Each with a preset residual voltage threshold By comparing the data, we can accurately determine whether the remaining voltage has dropped to within the safety limit after the i-th leakage fault is handled. Furthermore, we can analyze the operating status of the waveform offset function during the i-th operation. Since this data is obtained based on diversified data correction, the accuracy of the data is high, which can improve the accuracy of multi-level judgment results and thus solve the problem of insufficient functionality of low-voltage power distribution system.

[0049] (4) The present invention uses the dispersion coefficient of the leakage voltage drop after the i-th leakage accident is handled. With the preset discrete coefficient threshold By comparing the data, it is possible to accurately determine whether there are abnormal fluctuations in the voltage at the leakage point during a voltage monitoring operation after the i-th leakage accident is handled. This allows for further analysis of whether the stability of the waveform offset function meets the standards. By combining data that is more relevant to reality, the accuracy of the judgment results on whether the stability of the waveform offset function meets the standards can be improved, thereby solving the problem of insufficient functionality in the low-voltage power distribution system. Attached Figure Description

[0050] The invention will now be further described with reference to the accompanying drawings.

[0051] Figure 1 This is a flowchart of the functional solution algorithm for the intelligent low-voltage power distribution system in this invention;

[0052] Figure 2 This is a flowchart of the correction process in S4 of this invention. Detailed Implementation

[0053] 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.

[0054] Please see Figure 1 As shown, in one embodiment, this application provides a functional solution algorithm and medium for a smart low-voltage power distribution system. The algorithm includes the following steps:

[0055] S1: The leakage current signal acquisition module is used to collect leakage current signals of cables of all electrical equipment in the low-voltage power distribution system in real time during use.

[0056] S2: When a leakage current signal is acquired, the waveform offset module automatically generates an offset waveform signal with the same frequency, equal amplitude, and opposite phase as the acquired signal according to the program algorithm and performs waveform offset.

[0057] S3: After the waveform offsetting operation is completed, the data acquisition module uses the sensor group to collect the remaining voltage data after the leakage accident is handled.

[0058] S4: The data correction module, combined with the operating status data of the sensor group and environmental data, corrects the remaining voltage data after the leakage accident is handled.

[0059] S5: By combining the residual voltage correction data after the leakage accident is handled, the qualification status of the waveform offset operation is analyzed;

[0060] S6: By combining the residual voltage correction data after the handling of leakage accidents over a period of time, the stability of the waveform offset function is analyzed, and when it is determined that the stability of the waveform offset function is poor, an early warning is issued through the early warning module.

[0061] Through the above technical solution, this example provides a functional solution algorithm for a smart low-voltage power distribution system. First, the leakage current signal acquisition module collects leakage current signals from the cables of all electrical equipment in the low-voltage power distribution system in real time during use. When a leakage current signal is collected, the waveform offset module automatically generates an offset waveform signal with the same frequency, equal amplitude, and opposite phase as the collected signal according to the program algorithm and performs waveform offset. After the waveform offset operation is completed, the data acquisition module uses the sensor group to collect the residual voltage data after the leakage fault is handled. The data correction module, combined with the operating status data of the sensor group and environmental data, corrects the residual voltage data after the leakage fault is handled. Finally, the pass / fail status of the waveform offset operation is analyzed by combining the residual voltage correction data after the leakage fault is handled. The stability of the waveform offset function is analyzed by combining the residual voltage correction data after the leakage fault is handled over a period of time. If the stability of the waveform offset function is poor, the early warning module issues an early warning.

[0062] With this configuration, during operation, when the leakage signal acquisition module detects a leakage signal, the intelligent low-voltage power distribution system corrects the remaining voltage data after the leakage fault is handled, based on the data correction module's analysis of the sensor group's operating status data and environmental data. This makes the remaining voltage data collected by the sensor group closer to the true value. Based on this corrected data, the system can accurately analyze the success of the waveform offsetting operation and further determine the stability of the waveform offsetting function, thus addressing the issue of insufficient functionality in the low-voltage power distribution system.

[0063] Please see Figure 2 As shown, the correction process in S4 includes:

[0064] S41: When the data acquisition module collects the remaining voltage data after the leakage current accident has been handled, the sensor group's operating status data and environmental data are also collected.

[0065] S42: Correct the maximum effective range of the sensor group by combining the operating status data of the sensor group with environmental data;

[0066] S43: By combining the maximum effective range of the sensor group after correction with environmental data, the remaining voltage data after the leakage current accident is handled is corrected;

[0067] Through the above technical solution, this example provides the correction process in S4. First, when the data acquisition module collects the remaining voltage data after the leakage current accident is handled, the operating status data of the sensor group and the environmental data are collected. Then, by combining the operating status data of the sensor group and the environmental data, the maximum effective range of the sensor group is corrected. Finally, by combining the corrected maximum effective range of the sensor group and the environmental data, the remaining voltage data after the leakage current accident is handled is corrected.

[0068] By setting it up in this way, if the maximum effective range of the sensor group is much larger than the actual voltage, it will lead to insufficient resolution, resulting in large fluctuations in the readings and misjudgments of falsely high readings. Furthermore, the maximum effective range of the sensor group may shrink or its performance degrade due to environmental factors and the operating status of the sensor group during actual measurement. Therefore, by first combining the operating status data and environmental data of the sensor group, the maximum effective range of the sensor group is corrected. The corrected data is closer to the true value. Then, based on this data and environmental data, the residual voltage data after the leakage current accident is handled can be corrected. This achieves the cleaning process of the residual voltage data after the leakage current accident is handled, making the read data closer to the true value. This provides accurate data support for subsequent analysis of the stability of the waveform offset function, ensuring the accuracy of the analysis results.

[0069] The correction process in S42 includes:

[0070] Through formula Calculate the effective range error index of the sensor group during the handling of the i-th leakage current accident. ;

[0071] Where i represents any single leakage current incident handling, This represents the operating voltage value of the sensor group during the handling of the i-th leakage current accident. The preset operating voltage value, Let be the load impedance of the sensor group during the handling of the i-th leakage current accident. The preset load impedance, Let be the ambient magnetic field strength during the handling of the i-th leakage current accident. The preset magnetic field strength, for The standard value, To define a function, if Then let Otherwise, let 'a' represents any day in the historical usage of the sensor group, and 'n' represents the total number of days in the historical usage of the sensor group. The average humidity on day a during the historical use of the sensor group. The sensor group aging coefficient is set based on empirical fitting. It should be noted that the sensor group aging coefficient is the output data after extensive training of a deep learning model based on the historical usage data of the sensor group. and These are the weighting coefficients, set based on empirical fitting. It should be noted that... According to The value is taken as the effective range error index of the sensor group during the handling of the i-th leakage current accident. The degree of influence is based on the output of a convolutional neural network trained on a large amount of historical data. According to The value is taken as the effective range error index of the sensor group during the handling of the i-th leakage current accident. The degree of influence is based on the output of a convolutional neural network trained on a large amount of historical data;

[0072] Based on the above technical solution, this example provides the effective range error index of the sensor group during the handling of the i-th leakage current accident. It can be done through the formula Calculations show that the lower the operating voltage and load impedance of the sensor group during the i-th leakage current fault handling, and the higher the ambient magnetic field strength and historical average humidity during the i-th leakage current fault handling, the lower the effective range error index of the sensor group during the i-th leakage current fault handling. The higher the value, the smaller the effective range of the sensor group will be due to environmental factors and the operating status of the sensor group during the i-th leakage current fault handling. Specifically, when the load impedance of the sensor group is too low during the i-th leakage current fault handling, the sensor operating voltage will be pulled down. When the operating voltage is lower than the rated value, the output range will shrink linearly. The higher the ambient magnetic field strength during the i-th leakage current fault handling, the more noise will be coupled to the sensor signal line, causing the low range to be flooded by noise, thereby reducing the output range. Furthermore, a long-term high humidity environment will damage the internal structure of the sensor, resulting in a reduction in the upper limit of the range.

[0073] Therefore, based on the above, the higher the operating voltage and load impedance of the sensor group during the handling of the i-th leakage current fault, and the lower the ambient magnetic field strength and historical average humidity during the handling of the i-th leakage current fault, the lower the effective range error index of the sensor group during the handling of the i-th leakage current fault. The lower the value, the less effective the sensor range will be during the i-th leakage current fault handling. This means that the maximum effective range of the sensor group will not decrease significantly during the i-th leakage current fault handling. This calculation method can reflect the actual effective range of the sensor group during the i-th leakage current fault handling, thus providing accurate data support for subsequent correction of the remaining voltage value and ensuring the accuracy of the correction result.

[0074] The correction process in S42 further includes:

[0075] The effective range error index of the sensor group during the handling of the i-th leakage current accident was determined by... Values ​​are assigned to generate an effective range error index for the sensor group that is between 0.05 and 0.2, and that varies with the effective range of the sensor group during the handling of the i-th leakage current accident. The effect of the sensor group's effective range error on the handling of the i-th leakage current accident is increased by the increase in the value of the sensor group's effective range error.

[0076] Among them, the effective range error index of the sensor group during the handling of the i-th leakage current accident is... The effective range error influence value of the sensor group during the handling of the corresponding i-th leakage current accident is defined as follows: ;

[0077] And through the formula Calculate the corrected maximum effective range of the sensor group during the handling of the i-th leakage current accident. ;

[0078] in, This represents the maximum effective range of the sensor group.

[0079] Based on the above technical solution, this example provides the effective range error index of the sensor group during the handling of the i-th leakage current accident. The process of assigning values;

[0080] As an example, the influence value of the effective range error of the sensor group during the handling of the i-th leakage current accident. The criteria for determining the value are as follows:

[0081]

[0082] It should be noted that this data is obtained based on a deep learning model trained with a large amount of historical data, and it varies with the effective range error exponent of the sensor group during the handling of the i-th leakage current accident. The increase in the value of the effective range error of the sensor group during the handling of the i-th leakage current accident corresponds to the increase in the effective range error of the sensor group. It will increase synchronously, and then you can use the formula. Calculate the corrected maximum effective range of the sensor group during the handling of the i-th leakage current accident. This provides accurate data support for subsequent correction of the remaining voltage value, ensuring the accuracy of the correction results.

[0083] The correction process in S43 includes:

[0084] After the i-th leakage accident is handled, the remaining voltage value of the leakage point is collected at fixed time intervals to perform a leakage point voltage monitoring operation.

[0085] Through formula Calculate the residual voltage correction value at the z-th residual voltage acquisition after the i-th leakage current fault handling is completed. ;

[0086] Where z represents any time point in a single leakage current voltage monitoring operation where the residual voltage value is collected at fixed time intervals. This represents the residual voltage value collected during the z-th residual voltage acquisition after the i-th leakage current accident has been handled. The ambient magnetic field strength at the time of the z-th residual voltage acquisition after the i-th leakage current accident is handled. The cable grounding resistance is the value at the time of the z-th residual voltage acquisition after the i-th leakage current accident has been handled. The preset grounding resistance, The adjustment coefficient lookup table function has a range of values ​​that are related to... The values ​​of these values ​​correspond one-to-one. It should be noted that the values ​​of the adjustment coefficient lookup table function can be determined based on empirical data. The impact of the range of numerical values ​​on the residual voltage was obtained based on testing.

[0087] Using the above technical solution, this example provides the residual voltage correction value for the z-th residual voltage acquisition after the i-th leakage current fault handling is completed. It can be done through the formula Calculations show that the corrected maximum effective range of the sensor group is obtained when handling the i-th leakage current incident. The larger the value of the cable grounding resistance and the higher the ambient magnetic field strength at the time of the z-th residual voltage acquisition after the i-th leakage current fault handling, the greater the impact on the residual voltage value acquired at the time of the z-th residual voltage acquisition after the i-th leakage current fault handling. Conversely, the larger the value of the effective range of the sensor group after the i-th leakage current fault handling, the greater the impact on the residual voltage value acquired at the time of the z-th residual voltage acquisition. The smaller the value, and the lower the cable grounding resistance and the ambient magnetic field strength at the time of the z-th residual voltage acquisition after the i-th leakage current accident is handled, the smaller the impact on the residual voltage value acquired at the time of the z-th residual voltage acquisition after the i-th leakage current accident is handled.

[0088] Specifically, this manifests as the maximum effective range of the sensor group after correction during the handling of the i-th leakage current accident. The smaller the value, the closer it is to the residual voltage value collected during the z-th residual voltage acquisition after the i-th leakage current fault is resolved. Therefore, its resolution is sufficient and will not affect the reading fluctuation, thus preventing the reading from being falsely high. The lower the cable grounding resistance and the ambient magnetic field strength during the z-th residual voltage acquisition after the i-th leakage current fault is resolved, the less impact it has on the operating status of the sensor group, thereby improving the accuracy of sensor data acquisition. Through this calculation method, the residual voltage value collected during the z-th residual voltage acquisition after the i-th leakage current fault can be corrected based on diversified data. This provides accurate data support for subsequent analysis of the stability of the waveform offset function, ensuring the accuracy of the analysis results and thus solving the problem of insufficient functionality in low-voltage power distribution systems.

[0089] The analysis process in S5 includes:

[0090] The residual voltage correction value at each monitoring time point after the i-th leakage current incident is handled. Each with a preset residual voltage threshold Perform a comparison;

[0091] If all All less than or equal to If the residual voltage drops to within the safety limit after the i-th leakage fault is handled, it means that the waveform offset function is operating well during the i-th operation, and the stability of the waveform offset function is further analyzed.

[0092] If any Greater than If the residual voltage after the i-th leakage fault handling is not reduced to within the safety limit, it means that the waveform offset function is in an abnormal operating state during the i-th operation and an alarm is issued.

[0093] Using the above technical solution, this example corrects the residual voltage at each monitoring time point after the i-th leakage current accident is handled. Each with a preset residual voltage threshold By comparing the data, we can accurately determine whether the remaining voltage has dropped to within the safety limit after the i-th leakage fault is handled. Furthermore, we can analyze the operating status of the waveform offset function during the i-th operation. Since this data is obtained based on diversified data correction, the accuracy of the data is high, which can improve the accuracy of multi-level judgment results and thus solve the problem of insufficient functionality of low-voltage power distribution system.

[0094] The analysis process in S6 includes:

[0095] When the waveform offset function is judged to be operating well during the i-th operation;

[0096] Through formula The leakage voltage drop was calculated at the time of the z-th residual voltage value acquisition after the i-th leakage fault handling was completed. ;

[0097] And through the formula Calculate the coefficient of variation of the leakage voltage drop after the i-th leakage accident is handled. ;

[0098] in, y represents the voltage at the leakage point before the offset when the i-th leakage accident occurs, and y represents the total number of times the remaining voltage value is collected after the i-th leakage accident is handled.

[0099] Based on the above technical solution, this example provides the dispersion coefficient of the leakage voltage drop value after the i-th leakage fault is handled. It can be done through the formula The calculated data reflects the voltage fluctuation at the leakage point during a voltage monitoring operation after the i-th leakage accident is handled, thus providing accurate data support for subsequent judgment of the stability of the waveform offset function and ensuring the accuracy of the judgment results.

[0100] The analysis process in S6 also includes:

[0101] By using the coefficient of variation of the leakage voltage drop after the i-th leakage fault is handled With the preset discrete coefficient threshold Perform a comparison;

[0102] like If, during a voltage monitoring operation at the leakage point after the i-th leakage accident is handled, there is an abnormal fluctuation in the voltage at the leakage point, it indicates that the stability of the waveform offset function is not up to standard.

[0103] like If, during a voltage monitoring operation at the leakage point after the i-th leakage accident is handled, there is no abnormal fluctuation in the voltage at the leakage point, it means that the stability of the waveform offset function meets the standard.

[0104] Using the above technical solution, this example uses the dispersion coefficient of the leakage voltage drop value after the i-th leakage fault is handled. With the preset discrete coefficient threshold By comparing the data, it is possible to accurately determine whether there are abnormal fluctuations in the voltage at the leakage point during a voltage monitoring operation after the i-th leakage accident is handled. This allows for further analysis of whether the stability of the waveform offset function meets the standards. By combining data that is more relevant to reality, the accuracy of the judgment results on whether the stability of the waveform offset function meets the standards can be improved, thereby solving the problem of insufficient functionality in the low-voltage power distribution system.

[0105] A storage medium storing a functional solution algorithm for a smart low-voltage power distribution system, wherein when the program of the functional solution algorithm for the smart low-voltage power distribution system is executed by a processor, the steps of the functional solution algorithm for the smart low-voltage power distribution system are implemented.

[0106] Through the above technical solution, this example provides a storage medium on which a computer-readable storage medium stores a computer program. When the program is run on a computer, it enables the computer to execute the corresponding content in the aforementioned method embodiments. The storage medium may include, but is not limited to, any type of disk, including floppy disks, hard disks, optical disks, magneto-optical disks, read-only memory, random access memory, and erasable programmable read-only memory, etc.

[0107] 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 functional solution algorithm for intelligent low-voltage power distribution systems, characterized in that, The algorithm includes the following steps: S1: The leakage current signal acquisition module is used to collect leakage current signals of cables of all electrical equipment in the low-voltage power distribution system in real time during use. S2: When a leakage current signal is acquired, the waveform offset module automatically generates an offset waveform signal with the same frequency, equal amplitude, and opposite phase as the acquired signal according to the program algorithm and performs waveform offset. S3: After the waveform offsetting operation is completed, the data acquisition module uses the sensor group to collect the remaining voltage data after the leakage accident is handled. S4: The data correction module, combined with the operating status data of the sensor group and environmental data, corrects the remaining voltage data after the leakage accident is handled. S5: By combining the residual voltage correction data after the leakage accident is handled, the qualification status of the waveform offset operation is analyzed; S6: By combining the residual voltage correction data after the handling of leakage accidents over a period of time, the stability of the waveform offset function is analyzed, and when the stability of the waveform offset function is judged to be poor, an early warning is issued through the early warning module.

2. The functional solution algorithm for the intelligent low-voltage power distribution system according to claim 1, characterized in that, The correction process in S4 includes: S41: When the data acquisition module collects the remaining voltage data after the leakage current accident has been handled, the sensor group's operating status data and environmental data are also collected. S42: Correct the maximum effective range of the sensor group by combining the operating status data of the sensor group with environmental data; S43: By combining the maximum effective range of the sensor group after correction with environmental data, the remaining voltage data after the leakage current accident is handled is corrected.

3. The functional solution algorithm for the intelligent low-voltage power distribution system according to claim 2, characterized in that, The correction process in S42 includes: Through formula Calculate the effective range error index of the sensor group during the handling of the i-th leakage current accident. ; Where i represents any single leakage current incident handling, This represents the operating voltage value of the sensor group during the handling of the i-th leakage current accident. The preset operating voltage value, Let be the load impedance of the sensor group during the handling of the i-th leakage current accident. The preset load impedance, Let be the ambient magnetic field strength during the handling of the i-th leakage current accident. The preset magnetic field strength, for The standard value, To define a function, if Then let Otherwise, let 'a' represents any day in the historical usage of the sensor group, and 'n' represents the total number of days in the historical usage of the sensor group. The average humidity on day a during the historical use of the sensor group. The aging coefficient for the sensor assembly is set based on empirical fitting. and These are weighting coefficients, set based on empirical fitting.

4. The functional solution algorithm for the intelligent low-voltage power distribution system according to claim 3, characterized in that, The correction process in S42 further includes: The effective range error index of the sensor group during the handling of the i-th leakage current accident was determined by... Values ​​are assigned to generate an effective range error index for the sensor group that is between 0.05 and 0.2, and that varies with the effective range of the sensor group during the handling of the i-th leakage current accident. The effect of the sensor group's effective range error on the handling of the i-th leakage current accident is increased by the increase in the value of the sensor group's effective range error. Among them, the effective range error index of the sensor group during the handling of the i-th leakage current accident is... The effective range error influence value of the sensor group during the handling of the corresponding i-th leakage current accident is defined as follows: ; And through the formula Calculate the corrected maximum effective range of the sensor group during the handling of the i-th leakage current accident. ; in, This represents the maximum effective range of the sensor group.

5. The functional solution algorithm for the intelligent low-voltage power distribution system according to claim 2, characterized in that, The correction process in S43 includes: After the i-th leakage accident is handled, the remaining voltage value of the leakage point is collected at fixed time intervals to perform a leakage point voltage monitoring operation. Through formula Calculate the residual voltage correction value at the z-th residual voltage acquisition after the i-th leakage current fault handling is completed. ; Where z represents any time point in a single leakage current voltage monitoring operation where the residual voltage value is collected at fixed time intervals. This represents the residual voltage value collected during the z-th residual voltage acquisition after the i-th leakage current accident has been handled. The ambient magnetic field strength at the time of the z-th residual voltage acquisition after the i-th leakage current accident is handled. The cable grounding resistance is the value at the time of the z-th residual voltage acquisition after the i-th leakage current accident has been handled. The preset grounding resistance, The adjustment coefficient lookup table function has a range of values ​​that are related to... The values ​​of each number correspond one-to-one.

6. The functional solution algorithm for the intelligent low-voltage power distribution system according to claim 5, characterized in that, The analysis process in S5 includes: The residual voltage correction value at each monitoring time point after the i-th leakage current incident is handled. Each is compared with the preset residual voltage threshold. Perform a comparison; If all All less than or equal to If the residual voltage drops to within the safety limit after the i-th leakage fault is handled, it means that the waveform offset function is operating well during the i-th operation, and the stability of the waveform offset function is further analyzed. If any Greater than If the residual voltage after the i-th leakage fault handling is not reduced to within the safety limit, it means that the waveform offset function is in an abnormal operating state during the i-th operation, and an alarm is issued.

7. The functional solution algorithm for the intelligent low-voltage power distribution system according to claim 6, characterized in that, The analysis process in S6 includes: When the waveform offset function is judged to be operating well during the i-th operation; Through formula The leakage voltage drop was calculated at the time of the z-th residual voltage value acquisition after the i-th leakage fault handling was completed. ; And through the formula Calculate the coefficient of variation of the leakage voltage drop after the i-th leakage accident is handled. ; in, y represents the voltage at the leakage point before the offset when the i-th leakage accident occurs, and y represents the total number of times the remaining voltage value is collected after the i-th leakage accident is handled.

8. The functional solution algorithm for the intelligent low-voltage power distribution system according to claim 7, characterized in that, The analysis process in S6 also includes: By using the coefficient of variation of the leakage voltage drop after the i-th leakage fault is handled With the preset discrete coefficient threshold Perform a comparison; like If, during a voltage monitoring operation at the leakage point after the i-th leakage accident is handled, there is an abnormal fluctuation in the voltage at the leakage point, it indicates that the stability of the waveform offset function is not up to standard. like If, during a voltage monitoring operation at the leakage point after the i-th leakage accident is handled, there are no abnormal fluctuations in the voltage at the leakage point, it means that the stability of the waveform offset function meets the standard.

9. A storage medium, characterized in that, The storage medium stores a functional solution algorithm for a smart low-voltage power distribution system. When the processor executes the program of the functional solution algorithm for the smart low-voltage power distribution system, it implements the steps of the functional solution algorithm for the smart low-voltage power distribution system as described in any one of claims 1 to 8.

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