Rapid compensation method for realizing voltage output stability of distribution line in transformer area

Abstract

The invention relates to the technical field of voltage compensation, in particular to a rapid compensation method for realizing stable voltage output of a distribution line in a transformer area. The method comprises the following steps: dividing a plurality of characteristic intervals according to the difference between each phase of voltage data and a standard voltage; determining a deviation characteristic value of the phase voltage according to the correlation degree between the phase voltage and each type of other data of the node, the maximum deviation value of the phase voltage and the maximum deviation value of each type of other data; according to the intersection-to-union ratio and the deviation characteristic value of each characteristic interval and each overrun interval, determining an influence characteristic value of the characteristic interval; determining a compensation coefficient of the phase voltage of the node according to the three-phase unbalance degree of each key node and the corresponding intermediate node and the influence characteristic value of the characteristic interval; and determining the reactive compensation amount according to the rated voltage value, the real-time voltage and the line impedance in response to the fact that the real-time voltage is located outside the preset interval. The method can improve the stability of voltage output of the distribution line in the transformer area.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of voltage compensation, in particular to a fast compensation method for realizing voltage output stability of a transformer area power distribution line. BACKGROUND

[0002] The transformer area power distribution line connects a power system and a user end, and the stability of voltage output of the power distribution line greatly influences the power safety of the user end. Nowadays, various devices have high requirements for voltage stability, and voltage fluctuation in the use process can easily cause aging of a device insulating layer, shorten the service life, and influence the operation stability of the device. In industrial production, voltage output fluctuation of the transformer area power distribution line can cause production interruption and product quality decline. With the increasing penetration rate of new loads such as distributed power and charging piles in the transformer area, the frequency and amplitude of voltage fluctuation of the transformer area power distribution line increase, and it is necessary to accurately and stably compensate the voltage output of the line, improve the stability of the voltage output of the power distribution line, reduce line loss, and improve the overall operation efficiency of the transformer area power distribution network, thereby guaranteeing the reliability and stability of the transformer area power distribution line connected to the user end for use.

[0003] However, there are various factors causing voltage fluctuation in the process of fast voltage compensation of the transformer area power distribution line, including impact load, distributed power output fluctuation, voltage drop caused by line impedance, three-phase load imbalance, etc. In the actual operation process of the transformer area power distribution network, line aging can cause an increase in line impedance, and frequent changes in load can cause fluctuation and change of power grid parameters and imbalance of three-phase load, which can all cause voltage output fluctuation deviation change in the operation process of the transformer area power distribution network. In the process of compensating voltage output of the transformer area power distribution line by using the traditional dynamic reactive power compensation, the parameter change characteristics in the actual operation process of the power distribution network are ignored, which leads to low voltage compensation accuracy of the current power distribution line, cannot dynamically adjust the compensation parameters according to the real-time operation parameter characteristics of the transformer area, is prone to "over-compensation" or "under-compensation", and cannot effectively eliminate voltage deviation, thereby influencing the stability of voltage output of the transformer area power distribution line. SUMMARY

[0004] To solve the above technical problems, the purpose of the application is to provide a fast compensation method for realizing voltage output stability of a transformer area power distribution line, and the technical solution is as follows: In a first aspect, a fast compensation method for realizing voltage output stability of a transformer area power distribution line is provided, and the method comprises the following steps: According to the difference between the voltage data of each phase of each node collected at multiple moments and the standard voltage, a plurality of characteristic intervals corresponding to the phase voltage of the node are divided. The nodes include key nodes of the transformer area power distribution line and intermediate nodes between adjacent key nodes. For each feature interval, a deviation feature value of the phase voltage is determined according to a correlation degree between the phase voltage and each other data of the node, a maximum deviation value of the phase voltage, and a maximum deviation value of each other data; the deviation value is obtained according to a difference between each data and corresponding standard data; the deviation feature value indicates a difference degree of a change of the phase voltage relative to a change of other data; According to an intersection-union ratio of each feature interval and each over-limit interval in the feature interval, and the deviation feature value, an influence feature value of the feature interval is determined; the phase voltage in the over-limit interval exceeds the rated voltage; the influence feature value indicates a voltage fluctuation degree of the feature interval; According to a three-phase unbalance degree of each key node and corresponding intermediate node at all times in a plurality of feature intervals, and the influence feature value of the feature interval, a compensation coefficient of the phase voltage of the node is determined; For each key node, in response to a real-time voltage being located outside a preset interval, a reactive power compensation quantity is determined according to a rated voltage value, the real-time voltage and line impedance, so as to adjust the real-time voltage to the preset interval; the real-time voltage is obtained according to a plurality of phase voltage values and corresponding compensation coefficients; the reactive power compensation quantity is used to correct the real-time voltage to the preset interval.

[0005] Optionally, a plurality of feature intervals corresponding to each phase voltage of each node are divided according to a difference between each phase voltage data of each node collected at a plurality of times and a standard voltage, including: A difference value between each phase voltage data of each node collected at a plurality of times and the standard voltage is calculated to obtain a plurality of deviation values at a plurality of times; According to a ratio of the deviation value at each time to the standard voltage, a power deviation value of each phase voltage at each time is determined; The power deviation value of each phase voltage at each time is sorted in time sequence, and a power deviation curve corresponding to the phase voltage of the node is obtained by curve fitting on the sorted data according to a least square method; A plurality of feature intervals are divided by taking a time corresponding to a zero ordinate in the power deviation curve as a division point.

[0006] Optionally, for each feature interval, a deviation feature value of the phase voltage is determined according to a correlation degree between the phase voltage and each other data of the node, a maximum deviation value of the phase voltage, and a maximum deviation value of each other data, including: For each feature interval, a power deviation value of each kind of data at each time is determined according to a difference between each kind of data collected at each time and corresponding standard data, and a ratio of a difference value between the kind of data at a plurality of times and corresponding standard data to the standard data; the plurality of kinds of data include: three-phase voltage data, current data, power data, and temperature data; For each feature interval, according to the absolute value of the Pearson correlation coefficient between the power deviation value of the phase voltage at multiple time points and the power deviation value of each other data of the node at multiple time points, the standard deviation of the difference between the phase voltage and the corresponding standard data at multiple time points, and the standard deviation of the difference between the other data and the corresponding standard data at multiple time points, the correlation deviation influence value between the phase voltage and the other data is determined. For each feature interval, according to the correlation deviation influence value between the phase voltage and each other data of the node, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data, the deviation feature value of the phase voltage in the feature interval is determined; the deviation value is obtained according to the difference between each data and the corresponding standard data.

[0007] Optionally, for each feature interval, according to the correlation deviation influence value between the phase voltage and multiple other data, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data, the deviation feature value of the phase voltage is determined, comprising: For each feature interval, the difference between each data and the corresponding standard data at multiple time points in the feature interval is calculated to obtain multiple deviation values between each data and the corresponding standard data at multiple time points. For each feature interval, the maximum value of the multiple deviation values between each data and the corresponding standard data at multiple time points in the feature interval is determined as the maximum deviation value of the data. For each feature interval, according to the ratio of the maximum deviation value of the phase voltage in the feature interval to the maximum deviation value of each other data of the node, and the correlation deviation influence value between the phase voltage and the other data, the deviation feature value of the phase voltage in the feature interval is determined.

[0008] Optionally, according to the intersection and union ratio of each feature interval and each hyperlimit interval therein, and the deviation feature value, the influence feature value of the feature interval is determined, comprising: In response to the phase voltage of the node exceeding the rated voltage at consecutive time points, an interval composed of the consecutive time points is determined as a hyperlimit interval. For each hyperlimit interval, according to the correlation degree between each data and each other data of the node, the maximum deviation value of the data, and the maximum deviation value of each other data, the deviation feature value of the data in the hyperlimit interval is determined. For each hyperlimit interval, the product of the deviation feature value of each data in the hyperlimit interval and the hyperlimit intersection and union ratio is calculated to obtain the corresponding deviation product of the data, and the mean value of the deviation products of the multiple data in the hyperlimit interval is calculated to obtain the first intersection and union ratio feature value of the hyperlimit interval; the hyperlimit intersection and union ratio indicates the intersection and union ratio between the hyperlimit interval and the feature interval to which the hyperlimit interval belongs. For each feature interval, calculate the average of the first intersection and union ratio characteristic values of the multiple over-limit intervals in the feature interval, to obtain the second intersection and union ratio characteristic value of the feature interval; According to the second intersection and union ratio characteristic value of each feature interval and the deviation characteristic value of the feature interval, determine the influence characteristic value of the feature interval.

[0009] Optionally, according to the second intersection and union ratio characteristic value of each feature interval and the deviation characteristic value of the feature interval, determining the influence characteristic value of the feature interval, comprises: According to the arithmetic mean of the second intersection and union ratio characteristic value of each feature interval and the deviation characteristic value of the feature interval, determine the influence characteristic value of the feature interval.

[0010] Optionally, according to the three-phase unbalance degree of each key node and the corresponding intermediate node at all times in multiple feature intervals, and the influence characteristic value of the feature interval, determine the compensation coefficient of the phase voltage of the node, comprising: According to the average of the three-phase unbalance degree of each key node and the corresponding intermediate node at all times in multiple feature intervals corresponding to the phase voltage of the key node, determine the characteristic coefficient of the key node; the intermediate node corresponding to each key node indicates that the node is located in the same feeder as the key node and is located between the key node and the next key node; Calculate the average of the product of the characteristic coefficient of the key node and the influence characteristic value of the multiple feature intervals corresponding to the phase voltage of the key node, to obtain the attenuation coefficient of the key node; According to the attenuation parameter, using EMA algorithm to predict the phase voltage data of the key node and the corresponding intermediate node, to obtain the voltage prediction result corresponding to each node; According to the voltage prediction result corresponding to each node, the product of the characteristic coefficient of each key node and the influence characteristic value of the feature interval corresponding to the phase voltage of the key node, determine the compensation coefficient of the phase voltage of the node.

[0011] Optionally, according to the voltage prediction result corresponding to each node, the product of the characteristic coefficient of each key node and the influence characteristic value of the feature interval corresponding to the phase voltage of the key node, determine the compensation coefficient of the phase voltage of the node, comprising: Calculate multiple absolute difference values of the voltage prediction result of the key node and the voltage prediction result of the corresponding multiple intermediate nodes, and calculate the ratio of multiple absolute difference values to the rated voltage respectively, and calculate the average of the obtained multiple ratios, to obtain the change characteristic value of the key node; According to the product of the characteristic coefficient of each key node and the influence characteristic value of the feature interval corresponding to the phase voltage of the key node, determine the influence coefficient of the phase voltage of the key node; According to the product of the change characteristic value of each key node and the influence coefficient of the phase voltage of the key node, a compensation coefficient of the phase voltage of the key node is determined.

[0012] Optionally, for each key node, in response to the real-time voltage being located outside the preset interval, a reactive power compensation amount is determined according to the rated voltage value, the real-time voltage and the line impedance, so as to adjust the real-time voltage to the preset interval, including: For each key node, a real-time voltage of the key node is determined according to the sum of the products of the multi-phase voltage values of the key node and the corresponding compensation coefficients. In response to the real-time voltage being located outside the preset interval, a reactive power compensation amount of the key node is determined according to the square difference between the rated voltage and the real-time voltage of the distribution line of the transformer area, and the line impedance of the distribution line of the transformer area. According to the reactive power compensation amount of each key node, the real-time voltage of the key node is adjusted to the preset interval.

[0013] Optionally, adjusting the real-time voltage of each key node to the preset interval according to the reactive power compensation amount of the key node includes: According to the reactive power compensation amount, a corresponding PWM control signal is determined. The PWM control signal is sent to an IGBT module of the distribution line of the transformer area, so as to output a reactive current corresponding to the reactive power compensation amount. The real-time voltage of the key node after compensation is collected, in response to the real-time voltage being located outside the preset interval, an updated reactive power compensation amount of the key node is determined according to the square difference between the rated voltage and the real-time voltage after compensation, and the line impedance of the distribution line of the transformer area, so as to output an updated reactive current corresponding to the updated reactive power compensation amount, until the real-time voltage is located within the preset interval.

[0014] On the basis of conforming to the common general knowledge in the art, the above-mentioned preferred conditions can be combined arbitrarily, that is, each preferred example of the present application is obtained.

[0015] The application has the following beneficial effects: by monitoring data collection at key nodes and intermediate nodes of the distribution line, correlating and comparing the interval deviation characteristics of single-phase voltage parameters caused by load and line state changes during operation based on the collected data, combining the time response relationship between the over-limit interval and the characteristic interval, accurately analyzing the dynamic deviation influence characteristics of the single-phase voltage parameters, and then comprehensively analyzing the interval changes of three-phase imbalance and voltage drop of the key nodes based on the single-phase voltage dynamic deviation, obtaining the compensation coefficient of each phase voltage, calculating the actual voltage value according to the compensation coefficient, determining the reactive power compensation amount based on the actual voltage value, the rated voltage value and the line impedance, and quickly and accurately compensating the voltage of the distribution line of the transformer area through the dynamic reactive power compensation device, the problem of "over-compensation" or "under-compensation" is effectively avoided, and the stability of the voltage output of the distribution line of the transformer area is improved. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0017] Figure 1 A flow chart of a method for realizing fast compensation of voltage output stability of a distribution line of a transformer area in an embodiment; Figure 2 A structural schematic diagram of a system for realizing fast compensation of voltage output stability of a distribution line of a transformer area in an embodiment; Figure 3 A structural schematic diagram of an electronic device in an embodiment. DETAILED DESCRIPTION

[0018] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purposes, the specific embodiments, structures, features and effects of a method for realizing fast compensation of voltage output stability of a distribution line of a transformer area according to the present application are described in detail as follows in combination with the drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0020] Specifically, the application provides a specific scheme of a fast compensation method for stabilizing voltage output of a power distribution line of a transformer area. As shown in Figure 1 The method comprises the following steps. S11, dividing a plurality of feature intervals corresponding to each phase voltage of each node according to differences between the phase voltage of the node and a standard voltage collected at a plurality of time points.

[0021] The node comprises each key node of the power distribution line of the transformer area and each intermediate node between adjacent key nodes.

[0022] The standard voltage can be a rated voltage of the power distribution line of the transformer area.

[0023] The application sets a plurality of monitoring nodes (nodes) in the power distribution line of the transformer area. The monitoring nodes need to cover voltage fluctuation sensitive areas and key links of parameter changes. Specifically, the monitoring nodes, i.e., key nodes, are set at key positions, which include but are not limited to a low-voltage side of a transformer, a centralized access point of a charging pile, a distributed photovoltaic grid-connected point, and a load-intensive area. An intermediate monitoring node (intermediate node) is set at a position 1 / 3 or 2 / 3 of a line length away from each key node, for analyzing voltage gradient change characteristics caused by line loss. A voltage transformer, a current transformer, a power factor sensor, and a temperature sensor are installed at each monitoring node for data collection. The frequency of data collection is 5 kHz. In actual processes, the collection frequency can be set according to actual conditions.

[0024] In the real-time collection stage, the three-phase voltage, the three-phase current, the power factor, and the line temperature of each monitoring node are collected by the set collection device, and the original data are stored. Trigger recording is performed in the real-time collection process. In the application, the preset voltage deviation threshold is ±5% of the rated voltage, i.e., the preset interval is [95% of the rated voltage, 105% of the rated voltage]. If the voltage of one of the nodes exceeds the threshold, the high-frequency sampling mode is started, the sampling frequency is increased to 10 kHz, and the starting time and the duration of the voltage fluctuation exceeding the threshold, and the load current, the power factor change data at the corresponding time point are recorded.

[0025] By setting monitoring nodes in the distribution line of the transformer area and installing corresponding collection devices, the monitoring data of the nodes is collected, and the collected monitoring data is transmitted and preprocessed. Specifically, the data collected by each node is transmitted to the nearest edge computing gateway through the RS485 bus, wherein one edge computing gateway is configured for every 5-8 monitoring nodes, and the data received by the edge computing gateway is transmitted to the cloud server of the transformer area power distribution automation system through the 5G network or optical fiber, wherein the data transmission delay needs to be controlled within 50 ms, thereby meeting the requirement of fast compensation for data real-time performance. For high-frequency fluctuation data triggered and recorded during the data collection process, the "priority transmission" mode is adopted, the real-time data transmission of non-critical nodes is temporarily interrupted, and the fluctuation data is transmitted to the cloud in priority, so that the cloud can timely obtain voltage abnormal information.

[0026] Further, since the noise interference during data collection will reduce the quality of the collected node monitoring data, thereby affecting the accuracy of node monitoring and compensation, in the present application, a wavelet threshold denoising algorithm is adopted to perform denoising processing on the collected voltage, current, power factor and temperature data, thereby reducing the influence of noise interference on the quality of the collected data of the monitoring nodes. Further, since there may be small time synchronization errors in the collection devices of different monitoring nodes, in the present application, a timestamp alignment algorithm is adopted to calibrate the collection data between different nodes in time, thereby avoiding errors in the monitoring and analysis of the distribution line caused by time deviation.

[0027] In one embodiment, according to the difference between the voltage data of each phase of each node collected at multiple time points and the standard voltage, a plurality of feature intervals corresponding to the voltage of the phase of the node are divided, including: The difference between the voltage data of each phase of each node collected at multiple time points and the standard voltage is calculated to obtain the deviation value at multiple time points; According to the ratio of the deviation value at each time point to the standard voltage, the power deviation value of each phase voltage at each time point is determined; The power deviation values of each phase voltage at each time point are sorted in time sequence, and the sorted data is curve-fitted according to the least square method to obtain the power deviation curve corresponding to the voltage of the phase of the node; The time point corresponding to the zero ordinate in the power deviation curve is taken as a division point to divide a plurality of feature intervals.

[0028] During the operation of the distribution line of the transformer area, parameter fluctuations caused by load changes and line state changes affect the stability of line voltage output, and due to the large difference in load changes and line state characteristics at different stages, large deviations may occur in voltage compensation processing in the actual operation process. Therefore, the dynamic fluctuation characteristics of the above preprocessed monitoring data of each node caused by load changes and line state changes are analyzed.

[0029] For each phase voltage data collected for each node, the difference between each phase voltage data at multiple time points and the standard voltage is calculated to obtain deviation values at multiple time points, the deviation value at each time point is taken as the power deviation value of the phase voltage at each time point, the power deviation values of the phase voltage at multiple time points are sorted in time sequence, and the sorted data is curve fitted by using the least square method to obtain the power deviation curve corresponding to the phase voltage of the node. The collection time point corresponding to the vertical coordinate of zero in the power deviation curve corresponding to the phase voltage of the node is taken as the characteristic time point of deviation change, and the time interval of voltage data collection is divided according to the characteristic time point to obtain multiple characteristic intervals under the influence of load change and line state change. The purpose is to fully combine the characteristics of load change and line state stage fluctuation interference, and accurately analyze the single-phase voltage change characteristics of the distribution line. Understandably, each phase voltage of each node corresponds to a characteristic interval set, different phase voltages of each node correspond to different characteristic interval sets, the following steps are described for the same phase voltage of the same node, and the data of different phase voltages of different nodes can be obtained by analogy.

[0030] S12, for each characteristic interval, according to the correlation between the phase voltage and each other data of the node, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data, the deviation characteristic value of the phase voltage is determined.

[0031] Wherein, the deviation value is obtained according to the difference between each data and the corresponding standard data. The deviation characteristic value indicates the difference degree of the change of each phase voltage relative to the change of other data.

[0032] In one embodiment, for each characteristic interval, according to the correlation between the phase voltage and each other data of the node, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data, the deviation characteristic value of the phase voltage is determined, including: For each characteristic interval, the power deviation value of each time point of each data collected at each time point and the corresponding standard data is determined according to the difference between each data collected at each time point and the corresponding standard data, and the ratio of the difference between the data at multiple time points and the corresponding standard data to the standard data; the multiple data include: three-phase voltage data, current data, power data, temperature data; For each characteristic interval, the correlation deviation influence value between the phase voltage and each other data is determined according to the absolute value of the Pearson correlation coefficient between the power deviation value of the phase voltage at multiple time points and the power deviation value of each other data of the node at multiple time points, the standard deviation of the difference between the phase voltage at multiple time points and the corresponding standard data, and the standard deviation of the difference between the other data at multiple time points and the corresponding standard data; For each feature interval, according to the associated deviation influence value between the phase voltage and each other data of the node, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data, a deviation feature value of the phase voltage in the feature interval is determined; the deviation value is obtained according to the difference between each data and the corresponding standard data.

[0033] Further, for each feature interval, according to the associated deviation influence value between the phase voltage and multiple other data, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data, a deviation feature value of the phase voltage is determined, including: For each feature interval, the difference between each data and the corresponding standard data at multiple time points in the feature interval is calculated, to obtain multiple deviation values between each data and the corresponding standard data at multiple time points; For each feature interval, the maximum value of the multiple deviation values between each data and the corresponding standard data at multiple time points in the feature interval is determined as the maximum deviation value of the data; For each feature interval, according to the ratio of the maximum deviation value of the phase voltage in the feature interval to the maximum deviation value of each other data of the node, and the associated deviation influence value between the phase voltage and the other data, a deviation feature value of the phase voltage in the feature interval is determined.

[0034] For each feature interval corresponding to the division of the phase voltage, the difference between each data collected at each time point in the feature interval and the corresponding standard data is calculated, and then the ratio between the difference and the corresponding standard data is calculated, to obtain a power deviation value of the data at each time point, and the larger the power deviation value, the more serious the out-of-limit situation at the corresponding time point is likely to be. The corresponding standard data can be rated data, such as rated voltage, rated current, etc., or can be a preset power data.

[0035] To further refine the analysis of the dynamic range variation characteristics of voltage output stability compensation in distribution lines, the voltage data of each phase collected at each node is used as a set of target data. For each set of target data within each characteristic interval, the absolute value of the Pearson correlation coefficient, sorted by time, is calculated for each set of target data against the other monitoring data. This is the absolute value of the Pearson correlation coefficient between the power deviation of the phase voltage at multiple times and the power deviation of each other data at multiple times for that node. The larger the absolute value, the greater the difference in deviation variation within the characteristic interval compared to single-phase voltage. The standard deviations of the phase voltage deviation and the other data deviations within the characteristic interval are calculated separately. The standard deviations of the phase voltage deviation and the other data deviations are then normalized. The normalized standard deviations of the phase voltage deviation and the other data deviations are summed to obtain the sum of standard deviations. The product of this sum of standard deviations and the absolute value of the Pearson correlation coefficient is used as the correlation deviation influence value between the phase voltage and the other data. The larger the correlation deviation value, the more significant the correlation deviation caused by load changes or line condition changes within the corresponding characteristic interval.

[0036] Based on the correlation deviation characteristics of single-phase voltage variation within the distribution line voltage output process, the correlation influence characteristics of single-phase voltage deviation within the characteristic interval are analyzed, and the deviation characteristic value of single-phase voltage within the characteristic interval is calculated. The formula for calculating the deviation characteristic value is as follows: ; in, This indicates that the i-th group of target data is in the corresponding partition of the th... The deviation characteristic value within each characteristic interval For the first There are other types of data, where n is the number of such other types of data. Indicates the first Within the i-th feature interval, the th The maximum deviation value corresponding to the group target data. Indicates the first Within the i-th feature interval, the th The maximum deviation value corresponding to other data. The larger the value, the more significant the voltage deviation is compared to other deviations within the single-phase voltage variation range at the node, and the greater the likelihood of voltage output fluctuations caused by load and line condition changes. Indicates the first Within the i-th feature interval, the th Group target data and the first An association deviation influence value between data. The greater the calculated deviation eigenvalue, the more significant the fluctuation influence characteristic under the influence of load and line state changes based on the comparison and analysis of the association deviation changes in the single-phase voltage variation interval of the distribution line.

[0037] S13, determining an influence eigenvalue of each feature interval according to the intersection and union ratio of each out-of-limit interval in the feature interval and the deviation eigenvalue.

[0038] The phase voltage in the out-of-limit interval exceeds the rated voltage of the distribution line. The influence eigenvalue indicates the voltage fluctuation degree of each feature interval.

[0039] If a time interval in which the voltage exceeds the rated voltage occurs in the feature interval divided based on the single-phase voltage variation, the voltage fluctuation change caused by the line state and load change in the corresponding interval is greater.

[0040] Therefore, in an embodiment, the influence eigenvalue of each feature interval is determined according to the intersection and union ratio of each out-of-limit interval in the feature interval and the deviation eigenvalue, including: In response to the phase voltage of the node exceeding the rated voltage at consecutive time points, an interval composed of the consecutive time points is determined as an out-of-limit interval; For each out-of-limit interval, the deviation eigenvalue of each type of data in the out-of-limit interval is determined according to the correlation between each type of data and each other type of data of the node, the maximum deviation value of each type of data, and the maximum deviation value of each other type of data; For each out-of-limit interval, the product of the deviation eigenvalue of each type of data in the out-of-limit interval and the out-of-limit intersection and union ratio is calculated to obtain the deviation product corresponding to the type of data, and the mean value of the deviation products of multiple types of data in the out-of-limit interval is calculated to obtain the first intersection and union ratio eigenvalue of the out-of-limit interval. The out-of-limit intersection and union ratio indicates the intersection and union ratio between the out-of-limit interval and the feature interval to which the out-of-limit interval belongs. For each feature interval, the mean value of the first intersection and union ratio eigenvalues of multiple out-of-limit intervals in the feature interval is calculated to obtain the second intersection and union ratio eigenvalue of the feature interval. The influence eigenvalue of each feature interval is determined according to the second intersection and union ratio eigenvalue of each feature interval and the deviation eigenvalue of the feature interval.

[0041] Further, the influence eigenvalue of each feature interval is determined according to the second intersection and union ratio eigenvalue of each feature interval and the deviation eigenvalue of the feature interval, including: The influence eigenvalue of each feature interval is determined according to the arithmetic mean value of the second intersection and union ratio eigenvalue of each feature interval and the deviation eigenvalue of the feature interval.

[0042] The over-limit interval is determined based on the start time stored in the trigger record. In response to the phase voltage of the node exceeding the rated voltage at consecutive times, the interval consisting of the consecutive times is determined as the over-limit interval. The cross-parallel ratio between the characteristic interval and each over-limit interval is calculated. When the cross-parallel ratio is greater than 0, it indicates that there is a voltage deviation change of the over-limit interval in the corresponding interval.

[0043] Calculate the deviation characteristic value corresponding to each set of target data in each out-of-limit interval. Based on the correlation between each type of data and each other type of data at that node, the maximum deviation value of this type of data, and the maximum deviation value of each other type of data, determine the deviation characteristic value of this type of data in the out-of-limit interval. The calculation method of the deviation characteristic value of each type of data in each out-of-limit interval is the same as that of the above-mentioned deviation characteristic value of each type of data in each out-of-limit interval, and will not be repeated here.

[0044] For each over-limit interval, calculate the product of the deviation characteristic value of each data type in that over-limit interval and the cross-combination ratio between the characteristic interval and the characteristic interval to which the characteristic interval belongs. This yields the deviation product corresponding to that data type. Then, calculate the average of the deviation products corresponding to the various data types in that over-limit interval to obtain the first cross-combination ratio characteristic value of that over-limit interval. The larger the first cross-combination ratio characteristic value, the more significant the deviation characteristics under the influence of line status and load dynamics within the characteristic interval to which the over-limit interval belongs. For each characteristic interval, calculate the average of the first cross-combination ratio characteristic values ​​of multiple over-limit intervals within that characteristic interval to obtain the second cross-combination ratio characteristic value of that characteristic interval.

[0045] Then, based on the second cross-parallel ratio characteristic value and the deviation characteristic value of each characteristic interval, the influence characteristic value of that characteristic interval is determined. That is, the dynamic changes in load and line status within each characteristic interval are analyzed, and the influence characteristic value of the dynamic deviation of the distribution line in the transformer area is calculated. The formula for calculating the influence characteristic value is as follows: ; in, For the first The target data of the group is in the corresponding partition of the first The influence characteristic value of the dynamic deviation of the distribution lines in the transformer substation within each characteristic interval. For the first The target data of the group is in the corresponding partition of the first The deviation characteristic value within each characteristic interval Indicates the first The target data of the group is in the corresponding partition of the first The second crossover ratio eigenvalue of the correlation deviation under the influence of excessive fluctuations within a characteristic interval is calculated. The greater the value is, the more significant the dynamic influence characteristics of voltage output fluctuation under the influence of load and line state change based on comparative analysis of single-phase voltage variation interval of distribution line of transformer area are.

[0046] S14, determining the compensation coefficient of the phase voltage of the node according to the three-phase unbalance degree of each key node and the corresponding intermediate node at all times in the plurality of characteristic intervals and the influence characteristic value of the characteristic interval.

[0047] In one embodiment, determining the compensation coefficient of the phase voltage of the node according to the three-phase unbalance degree of each key node and the corresponding intermediate node at all times in the plurality of characteristic intervals and the influence characteristic value of the characteristic interval includes: determining the characteristic coefficient of the key node according to the average of the three-phase unbalance degree of each key node and the corresponding intermediate node at all times in the plurality of characteristic intervals corresponding to the phase voltage of the key node; the intermediate node corresponding to each key node indicates that the node is located in the same feeder as the key node and between the key node and the next key node; calculating the average of the product of the characteristic coefficient of the key node and the influence characteristic value of the plurality of characteristic intervals corresponding to the phase voltage of the key node to obtain the attenuation coefficient of the key node; According to the attenuation parameter, the EMA algorithm is used to predict the voltage data of the key node and the corresponding intermediate node to obtain the voltage prediction result corresponding to each node; determining the compensation coefficient of the phase voltage of the node according to the voltage prediction result corresponding to each node, the product of the characteristic coefficient of each key node and the influence characteristic value of the characteristic interval corresponding to the phase voltage of the key node.

[0048] If each key node and the corresponding intermediate monitoring node in the monitoring process of the distribution line of the transformer area appears voltage deviation change due to line loss, and three-phase unbalance characteristics are significantly caused by load change, the single-phase voltage fluctuation of the corresponding node is more significant. In order to accurately analyze the single-phase voltage deviation change characteristics in the voltage output stability compensation process of the distribution line of the transformer area, for each feature interval corresponding to each group of target data, the average of the three-phase unbalance degree of each key node and each intermediate node at all times in each feature interval is calculated, and the average is taken as the characteristic coefficient of the single-phase voltage change influence of the key node under the influence of load change. The product of the characteristic coefficient and the corresponding influence characteristic value of each key node in the feature interval is taken as the influence coefficient of the single-phase voltage output fluctuation of the key node, and the average of the normalization results of all influence coefficients is taken as the attenuation parameter for the prediction analysis of the key node and the intermediate node voltage. Based on the determined attenuation parameter, the prediction results of the key node and the intermediate monitoring node for the same phase target data are obtained by using the EMA algorithm (Exponential Moving Average), and the same phase target data refers to the target data corresponding to the key node and the intermediate monitoring node on the same phase. The specific prediction analysis process is known to those skilled in the art and will not be described here.

[0049] In one embodiment, according to the voltage prediction result corresponding to each node, the product of the characteristic coefficient of each key node and the influence characteristic value of the characteristic interval corresponding to the phase voltage of the key node, the compensation coefficient of the phase voltage of the node is determined, including: Calculate the absolute difference value of the voltage prediction result of the key node and the voltage prediction result of the corresponding multiple intermediate nodes, and calculate the ratio of the multiple absolute difference values to the rated voltage, and calculate the average of the obtained multiple ratios to obtain the change characteristic value of the key node; According to the product of the characteristic coefficient of each key node and the influence characteristic value of the characteristic interval corresponding to the phase voltage of the key node, the influence coefficient of the phase voltage of the key node is determined. According to the product of the change characteristic value of each key node and the influence coefficient of the phase voltage of the key node, the compensation coefficient of the phase voltage of the key node is determined.

[0050] In order to accurately analyze the voltage drop change of the key node, the absolute difference value of the voltage prediction result between the key node and the corresponding each intermediate node is calculated, the ratio of the multiple absolute difference values to the standard voltage value is calculated, and the average of the obtained multiple ratios is calculated to obtain the change characteristic value of the key node. The larger the ratio, the larger the change of the single-phase voltage fluctuation in the transformer area line compared to the standard voltage, and the greater the influence of the line state change on the voltage output compensation analysis.

[0051] For each set of target data at key nodes, the compensation coefficient for each set of target data is calculated based on the voltage drop changes and three-phase imbalance characteristics under the influence of line load and line status changes in the transformer area, combined with the single-phase interval deviation change characteristics. The formula for calculating the compensation coefficient is as follows: ,in, For the first critical node Compensation coefficients for the target data set. The influence coefficient of single-phase voltage output fluctuation at this critical node can be obtained through the following steps: The product of the characteristic coefficient of each critical node and the corresponding influence characteristic value of that critical node within the characteristic interval is taken as the influence coefficient of single-phase voltage output fluctuation at that critical node. This refers to the changing characteristic value of this key node. express The larger the compensation coefficient is in the Softmax function, the greater the impact of voltage output fluctuations on compensation under the influence of load and line conditions.

[0052] S15. For each critical node, in response to the real-time voltage being outside the preset range, determine the reactive power compensation amount based on the rated voltage value, the real-time voltage, and the line impedance, so as to adjust the real-time voltage to the preset range.

[0053] The real-time voltage is obtained based on the multi-phase voltage values ​​and corresponding compensation coefficients. The line impedance indicates the line impedance of the distribution lines in the transformer area, which can be calculated or identified in real time by the measurement modules (such as voltage and current sensors) of the SVG controller (Static Var Generator Controller).

[0054] Based on a comparative analysis of the dynamic characteristics of single-phase voltage parameters under the influence of load and line status changes during the operation of distribution lines in the transformer substation, the influence characteristics of single-phase voltage parameter fluctuations on rapid compensation are extracted, the compensation adjustment coefficients corresponding to the single-phase voltage parameters are obtained, and rapid dynamic compensation of the voltage output of the distribution lines is performed based on the compensation adjustment coefficients, effectively suppressing voltage output fluctuations.

[0055] In one embodiment, for each critical node, in response to a real-time voltage being outside a preset range, a reactive power compensation amount is determined based on the rated voltage value, the real-time voltage, and the line impedance to adjust the real-time voltage to the preset range, including: For each critical node, the real-time voltage of the critical node is determined by summing the products of the multiphase voltage values ​​of the critical node and the corresponding compensation coefficients. In response to the real-time voltage being outside the preset range, the reactive power compensation amount of the critical node is determined based on the square difference between the rated voltage and the real-time voltage of the distribution line in the transformer area and the line impedance of the distribution line in the transformer area. Based on the reactive power compensation of each critical node, the real-time voltage of the critical node is adjusted to the preset range.

[0056] The preset range can be set according to the actual situation, for example, it can be [95% of rated voltage, 105% of rated voltage].

[0057] A dynamic reactive power compensation (SVG) device is used to rapidly compensate the voltage output at each critical node. An SVG device is connected to each critical node, and compensation is triggered when the actual voltage at the SVG connection point exceeds the rated voltage ±5% threshold. Specifically, the real-time voltage under the influence of load and line condition changes is calculated based on the three-phase voltage compensation adjustment coefficient. The formula for calculating the real-time voltage is as follows: ,in Indicates real-time voltage. Indicates the first Phase voltage value, Indicates the first The corresponding compensation coefficient is that the greater the impact of voltage output fluctuations on compensation under the influence of load and line conditions, the greater the impact of single-phase voltage parameters on overall compensation.

[0058] The reactive power compensation required by the SVG controller is calculated based on the actual three-phase voltage values. The formula for this calculation is as follows: ,in This is the amount of reactive power compensation. Rated voltage, For real-time voltage, The line impedance of the distribution lines in the transformer substation is acquired in real time by an SVG controller based on a DSP / ARM chip. If the real-time voltage is lower than the lower threshold of -5% of the rated voltage, the voltage is considered too low, requiring the output of capacitive reactive power to raise the voltage. If the actual voltage is higher than the upper threshold of +5% of the rated voltage, the voltage is considered too high, requiring the absorption of inductive reactive power to suppress the voltage, so that the compensation amount is accurately matched with the voltage deviation.

[0059] In one embodiment, adjusting the real-time voltage of a critical node to a preset range based on the reactive power compensation amount of each critical node includes: Based on the reactive power compensation amount, determine the corresponding PWM control signal; The PWM control signal is sent to the IGBT module of the distribution line in the transformer area to output the reactive current corresponding to the reactive compensation amount; The real-time voltage of the critical node after compensation is collected. In response to the real-time voltage being outside the preset range, the amount of reactive power compensation for the critical node is determined based on the square difference between the rated voltage and the real-time voltage after compensation and the line impedance of the distribution line in the transformer area. The reactive power current corresponding to the amount of reactive power compensation is then output until the real-time voltage is within the preset range.

[0060] Based on the calculated reactive compensation amount, the corresponding PWM (Pulse Width Modulation) control signal is obtained through the SVG controller, and the PWM control signal (Pulse Width Modulation Control Signal) is sent to the IGBT module (Insulated Gate Bipolar Transistor Module). By adjusting the on and off timing of the IGBT, the SVG outputs the reactive current matching the compensation amount. When the capacitive current is output, it is equivalent to injecting reactive power into the line to offset the inductive voltage drop and raise the voltage. When the inductive current is absorbed, it extracts reactive power from the line to suppress the excessive voltage.

[0061] The voltage data of the compensated distribution line in the transformer area is collected in real time through the SVG controller, and the voltage data is compared with the rated voltage. If the compensated voltage still exceeds the rated voltage ±5% threshold, the reactive compensation amount is recalculated, and then the PWM control signal is adjusted based on the calculated reactive compensation amount, the IGBT module is optimized based on the adjusted PWM control signal, and the voltage of the distribution line is compensated and adjusted to the stable range. If the voltage output is stable after compensation and adjustment, the SVG switches to standby mode and monitors the line in real time, improving the overall operation efficiency of the transformer area power distribution system.

[0062] The present application collects monitoring data at key nodes and intermediate nodes of the distribution line, analyzes the interval deviation characteristics of single-phase voltage parameters caused by load and line state changes during operation based on the collected data, and analyzes the dynamic deviation influence characteristics of single-phase voltage parameters by combining the time response relationship between the over-limit interval and the characteristic interval. Then, based on the dynamic deviation of single-phase voltage, the interval changes of three-phase imbalance and voltage drop of key nodes are comprehensively analyzed, the compensation coefficients of each phase voltage are obtained, the actual voltage value is calculated according to the compensation coefficients, and the reactive compensation amount is determined based on the actual voltage value, the rated voltage value and the line impedance. The dynamic reactive compensation device quickly and accurately compensates the voltage of the transformer area distribution line, effectively avoids the problems of "overcompensation" or "undercompensation", and improves the stability of the voltage output of the transformer area distribution line.

[0063] It should be understood that, although Figure 1 The steps in the flowchart of the method are displayed in sequence according to the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, Figure 1At least one of the steps in the method can comprise a plurality of sub-steps or a plurality of stages, which are not necessarily performed at the same time, but can be performed at different times, and the order of the sub-steps or stages is not necessarily sequential, but can be performed alternately or in rotation with other steps or sub-steps or stages of other steps.

[0064] The application also provides a fast compensation system for stabilizing voltage output of a power distribution line of a transformer area, as shown in the accompanying drawings, the system comprises: Figure 2 The division module 21 is configured to divide a plurality of feature intervals corresponding to each phase voltage of each node according to differences between the phase voltage of the node and standard voltage collected at a plurality of time points; the node comprises each key node of the power distribution line of the transformer area and each intermediate node between adjacent key nodes. The first determination module 22 is configured to determine a deviation feature value of the phase voltage according to a correlation between the phase voltage and each other data of the node, a maximum deviation value of the phase voltage and a maximum deviation value of each other data for each feature interval; the deviation value is obtained according to a difference between each data and corresponding standard data; the deviation feature value indicates a difference degree of a change of the phase voltage relative to a change of other data. The second determination module 23 is configured to determine an influence feature value of each feature interval according to an intersection-union ratio of each out-of-limit interval in the feature interval and the deviation feature value; the phase voltage in the out-of-limit interval exceeds the rated voltage; the influence feature value indicates a voltage fluctuation degree of the feature interval. The third determination module 24 is configured to determine a compensation coefficient of the phase voltage of each key node according to three-phase unbalance degrees of each key node and corresponding intermediate node at all time points in a plurality of feature intervals and the influence feature value of the feature interval. The fourth determination module 25 is configured to determine a reactive power compensation amount according to the rated voltage value, a real-time voltage and line impedance to adjust the real-time voltage to a preset interval in response to the real-time voltage being located outside the preset interval for each key node; the real-time voltage is obtained according to a plurality of phase voltage values and corresponding compensation coefficients.

[0065] For the system embodiment, since it basically corresponds to the method embodiment, the related parts can be referred to the part of the method embodiment. The above-described system embodiment is only illustrative, wherein the units described as separate components can or can not be physically separated, and the components of the unit can or can not be physical units, i.e., can be located in one place or distributed on a plurality of network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the application scheme.

[0066] ​Figure 3 This is a schematic diagram of the structure of an electronic device according to an example embodiment of this application. The electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor. When the processor executes the computer program, it implements the method described in any of the above embodiments. Figure 3 The electronic device 30 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0067] like Figure 3 As shown, the electronic device 30 can be manifested as a general-purpose computing device, such as a server device. The components of the electronic device 30 may include, but are not limited to: at least one processor 31, at least one memory 32, and a bus 33 connecting different system components (including memory 32 and processor 31).

[0068] Bus 33 includes a data bus, an address bus, and a control bus.

[0069] The memory 32 may include volatile memory, such as random access memory (RAM) 321 and / or cache memory 322, and may further include read-only memory (ROM) 323.

[0070] The memory 32 may also include a program tool 325 (or utility) having a set (at least one) program module 324, such program module 324 including but not limited to: an operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0071] The processor 31 executes various functional applications and data processing, such as the methods provided in any of the above embodiments, by running computer programs stored in the memory 32.

[0072] Electronic device 30 can also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). This communication can be performed through I / O (input / output) interface 35. Furthermore, electronic device 30 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public network, such as the Internet) via network adapter 36. As shown, network adapter 36 communicates with other modules of electronic device 30 via bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with electronic device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0073] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the foregoing detailed description, such division is merely exemplary and not mandatory. Indeed, according to an embodiment of the application, the features and functionalities of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functionalities of one unit / module described above can be further divided into units / modules embodied by several units / modules.

[0074] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the method provided by any of the above embodiments.

[0075] More specifically, the readable storage medium can include, but is not limited to, a portable disc, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0076] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be completed by a computer program instructing related hardware, and the computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, the computer program can include the processes of the above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM) and memory bus dynamic RAM (RDRAM) and the like.

[0077] The embodiment of the present application further provides a computer program product, which includes a computer program, and the computer program is executed by a processor to implement the method provided by any of the above embodiments.

[0078] The program code of the computer program product for performing the present application can be written in any combination of one or more programming languages, and can be entirely executed on the user device, partially executed on the user device, executed as a stand-alone software package, partially executed on the user device and partially executed on a remote device, or entirely executed on a remote device.

[0079] The technical features of the above embodiments can be combined in any manner. For brevity, not all possible combinations of the technical features in the above embodiments are described, but it should be understood that any combination of the technical features is within the scope of the present disclosure as long as there is no contradiction.

[0080] The above embodiments only express several implementation manners of the present application, and the description is specific and detailed, but it should not be understood as a limitation on the scope of the application. It should be pointed out that, for those skilled in the art, some modifications and improvements can be made without departing from the concept of the present application, and these are within the protection scope of the present application.

[0081] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment mainly describes the difference from other embodiments.

Claims

1. A fast compensation method for realizing voltage output stability of a distribution line of a transformer area, characterized in that, The method comprises: According to the difference between the voltage data of each node collected at multiple time points and the standard voltage, multiple characteristic intervals corresponding to the phase voltage of the node are divided; the node includes each key node of the distribution line of the transformer area and each intermediate node between adjacent key nodes; For each characteristic interval, the deviation characteristic value of the phase voltage is determined according to the correlation between the phase voltage and each other data of the node, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data; the deviation value is obtained according to the difference between each data and the corresponding standard data; the deviation characteristic value indicates the difference degree of the change of the phase voltage relative to the change of other data; According to the intersection-union ratio of each characteristic interval and each out-of-limit interval therein, and the deviation characteristic value, the influence characteristic value of the characteristic interval is determined; the phase voltage in the out-of-limit interval exceeds the rated voltage; the influence characteristic value indicates the voltage fluctuation degree of the characteristic interval; According to the three-phase unbalance degree of each key node and the corresponding intermediate node at all time points in multiple characteristic intervals, and the influence characteristic value of the characteristic interval, the compensation coefficient of the phase voltage of the node is determined. For each key node, in response to the real-time voltage being located outside the preset interval, the reactive power compensation amount is determined according to the rated voltage value, the real-time voltage and the line impedance, so as to adjust the real-time voltage to the preset interval; the real-time voltage is obtained according to the multi-phase voltage value and the corresponding compensation coefficient.

2. The method of claim 1, wherein the method comprises: determining the voltage output of the distribution line; and adjusting the voltage output of the distribution line to a target voltage output. The method comprises: The difference between the voltage data of each node collected at multiple time points and the standard voltage is calculated to obtain the deviation value at multiple time points; According to the ratio of the deviation value at each time point to the standard voltage, the power deviation value of each phase voltage at each time point is determined; The power deviation values of each phase voltage at each time point are sorted in time sequence, and the sorted data is curve-fitted according to the least square method to obtain the power deviation curve corresponding to the phase voltage of the node; The time point corresponding to the zero ordinate in the power deviation curve is taken as a division point to divide multiple characteristic intervals.

3. The method of claim 1, wherein the method comprises: determining the voltage output of the distribution line; and adjusting the voltage output of the distribution line to a target voltage output. The method comprises: For each characteristic interval, the power deviation value of each kind of data at each time point is determined according to the difference between each kind of data collected at each time point and the corresponding standard data, and the ratio of the difference between the data at multiple time points and the corresponding standard data to the standard data; the multiple data include: three-phase voltage data, current data, power data, and temperature data; determining, for each feature interval, an association deviation influence value between the phase voltage and each other data of the node according to an absolute value of a Pearson correlation coefficient between the power deviation values of the phase voltage at multiple time points and the power deviation values of each other data of the node at multiple time points, a standard deviation of the difference values between the phase voltage at multiple time points and corresponding standard data, and a standard deviation of the difference values between each other data at multiple time points and corresponding standard data; determining, for each feature interval, a deviation feature value of the phase voltage in the feature interval according to the association deviation influence value between the phase voltage and each other data of the node, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data; the deviation value is obtained according to the difference value between each data and corresponding standard data.

4. The rapid compensation method for stabilizing the voltage output of a distribution line in a transformer substation as described in claim 3, characterized in that, The method for determining, for each feature interval, a deviation feature value of the phase voltage according to the association deviation influence value between the phase voltage and multiple other data, the maximum deviation value of the phase voltage, and the maximum deviation value of each other data, comprises: calculating, for each feature interval, a difference value between each data at multiple time points in the feature interval and corresponding standard data, to obtain multiple deviation values between each data at multiple time points and corresponding standard data; determining, for each feature interval, a maximum value in the multiple deviation values between each data at multiple time points in the feature interval and corresponding standard data as a maximum deviation value of the data; determining, for each feature interval, a deviation feature value of the phase voltage in the feature interval according to a ratio of the maximum deviation value of the phase voltage to the maximum deviation value of each other data of the node and the association deviation influence value between the phase voltage and the other data.

5. The rapid compensation method for stabilizing the voltage output of a distribution line in a transformer substation as described in claim 1, characterized in that, The method for determining, for each feature interval, an influence feature value of the feature interval according to the intersection-union ratio of each feature interval and each super-limit interval therein and the deviation feature value, comprises: in response to the phase voltage of the node exceeding the rated voltage at consecutive time points, determining an interval composed of the consecutive time points as a super-limit interval; determining, for each super-limit interval, a deviation feature value of each data in the super-limit interval according to the correlation degree between each data and each other data of the node, the maximum deviation value of the data, and the maximum deviation value of each other data; calculating, for each super-limit interval, a product of the deviation feature value of each data in the super-limit interval and the super-limit intersection-union ratio to obtain a corresponding deviation product of the data, and calculating a mean value of the deviation products of multiple data of the super-limit interval to obtain a first intersection-union ratio feature value of the super-limit interval; the super-limit intersection-union ratio indicates the intersection-union ratio between the super-limit interval and a feature interval to which the super-limit interval belongs; calculating, for each feature interval, a mean value of the first intersection-union ratio feature values of multiple super-limit intervals in the feature interval to obtain a second intersection-union ratio feature value of the feature interval; determining, for each feature interval, an influence feature value of the feature interval according to the second intersection-union ratio feature value of the feature interval and the deviation feature value of the feature interval.

6. The method of claim 5, wherein the method further comprises: determining the voltage output of the distribution line; and adjusting the voltage output of the distribution line to a predetermined voltage output. 5 The method for determining, for each feature interval, an influence feature value of the feature interval according to the second intersection-union ratio feature value of the feature interval and the deviation feature value of the feature interval, comprises: According to the arithmetic mean of the second intersection ratio characteristic value of each characteristic interval and the deviation characteristic value of the characteristic interval, the influence characteristic value of the characteristic interval is determined.

7. The method for realizing fast compensation of voltage output stability of distribution line of transformer area of claim 1, wherein, The determination of the compensation coefficient of the phase voltage of each node according to the voltage prediction result corresponding to each node, the product of the characteristic coefficient of each key node and the influence characteristic value of the characteristic interval corresponding to the phase voltage of the key node comprises: According to the mean of the three-phase unbalance degrees of each key node and the corresponding intermediate node at all times in the multiple characteristic intervals corresponding to the phase voltage of the key node, the characteristic coefficient of the key node is determined; the intermediate node corresponding to each key node indicates that the node is located in the same feeder as the key node and between the key node and the next key node; The mean of the product of the characteristic coefficient of the key node and the influence characteristic value of the multiple characteristic intervals corresponding to the phase voltage of the key node is calculated to obtain the attenuation coefficient of the key node; According to the attenuation parameter, the EMA algorithm is used to predict and process the phase voltage data of the key node and the corresponding intermediate node to obtain the voltage prediction result corresponding to each node; The determination of the compensation coefficient of the phase voltage of each node according to the voltage prediction result corresponding to each node, the product of the characteristic coefficient of each key node and the influence characteristic value of the characteristic interval corresponding to the phase voltage of the key node comprises:

8. The rapid compensation method for stabilizing the voltage output of a distribution line in a transformer substation as described in claim 7, characterized in that, The determination of the compensation coefficient of the phase voltage of each node according to the voltage prediction result corresponding to each node, the product of the characteristic coefficient of each key node and the influence characteristic value of the characteristic interval corresponding to the phase voltage of the key node comprises: The multiple absolute difference values of the voltage prediction result of the key node and the voltage prediction results of the multiple corresponding intermediate nodes are calculated, and the mean of the multiple ratios of the multiple absolute difference values to the rated voltage is calculated to obtain the change characteristic value of the key node; According to the product of the characteristic coefficient of each key node and the influence characteristic value of the characteristic interval corresponding to the phase voltage of the key node, the influence coefficient of the phase voltage of the key node is determined. According to the product of the change characteristic value of each key node and the influence coefficient of the phase voltage of the key node, the compensation coefficient of the phase voltage of the key node is determined.

9. The method for realizing fast compensation of voltage output stability of distribution line of transformer area of claim 1, wherein, The determination of the reactive power compensation amount of each key node in response to the real-time voltage being located outside the preset interval according to the rated voltage value, the real-time voltage and the line impedance to adjust the real-time voltage to the preset interval comprises: For each key node, the real-time voltage of the key node is determined according to the sum of the products of the multiple-phase voltage values of the key node and the corresponding compensation coefficients; In response to the real-time voltage being located outside the preset interval, the reactive power compensation amount of the key node is determined according to the square difference between the rated voltage and the real-time voltage of the distribution line of the block and the line impedance of the distribution line of the block; The real-time voltage of the key node is adjusted to the preset interval according to the reactive power compensation amount of each key node.

10. A rapid compensation method for stabilizing the voltage output of a distribution line in a transformer substation as described in claim 9, characterized in that, The determination of the real-time voltage of the key node to the preset interval according to the reactive power compensation amount of each key node comprises: According to the reactive power compensation amount, the corresponding PWM control signal is determined; The determination of the real-time voltage of the key node to the preset interval according to the reactive power compensation amount of each key node comprises: According to the reactive power compensation amount, the corresponding PWM control signal is determined; The PWM control signal is sent to an IGBT module of a transformer area power distribution line to output a reactive current corresponding to the reactive power compensation amount; The real-time voltage of the key node after compensation is collected, and in response to the real-time voltage being located outside a preset interval, an updated reactive power compensation amount of the key node is determined according to a square difference between a rated voltage and the real-time voltage after compensation and a line impedance of the transformer area power distribution line, and an updated reactive current corresponding to the updated reactive power compensation amount is output until the real-time voltage is located within the preset interval.

Images