Power distribution network power quality management method and system based on automation technology

Abstract

The invention discloses a power distribution network power quality management method and system based on an automation technology, and particularly relates to the field of automation, and the method comprises the steps: S1, time region division, S2, power distribution data collection, S3, power distribution data preprocessing, S4, key text analysis, S5, comprehensive power quality analysis, S6, power quality judgment, S7, power distribution network control, S8, power quality abnormal value management, and S9, man-machine interaction. According to the method, the first power quality key text and the second power quality key text are acquired, the evaluation index of each sub-time region is extracted through the specific mathematical model by the key text analysis step, and the comprehensive quality evaluation index is calculated by using the comprehensive power quality analysis model, so that the safety state of the power distribution network is comprehensively reflected; different states of electric energy quality in a management area are subjected to classified control, electric energy quality problems are found and processed in time, and the electric energy quality of a power distribution network is ensured to meet user requirements.

Description

Technical Field

[0001] The present invention relates to the field of automation technology, and more specifically, to a power quality management method and system for a distribution network based on automation technology. Background Art

[0002] With the rapid economic development and the advancement of urban-rural integration, the demand for electricity continues to grow, which puts higher requirements on the operation quality and power supply reliability of the distribution network. At the same time, as an important part of the power system, the distribution network is responsible for distributing, regulating and supplying the electric energy sent by the transmission network. However, the power quality problem is becoming increasingly prominent and complex, which has brought new challenges to the distribution network, and in turn affected the normal operation of power equipment and the user's power experience.

[0003] Traditional power quality management methods for distribution networks generally include data collection steps, data analysis steps, alarm steps and control steps. The data collection step uses sensors and data acquisition devices to collect key parameters of the power grid in real time, such as voltage, current, frequency, power factor, etc.; the data analysis step processes and analyzes the collected data to calculate power quality indicators; in the alarm step, when the power quality indicators exceed the preset range, the system automatically issues an alarm or early warning message to remind the operation and maintenance personnel to deal with it in time; the control step formulates and implements corresponding control strategies based on the analysis results, such as adjusting the reactive compensation device, removing the harmonic source, etc., to improve the power quality.

[0004] However, it still has some shortcomings in actual use. First, the data acquisition step mainly focuses on steady-state power quality indicators, such as voltage deviation, frequency deviation, etc., and the monitoring ability for transient power quality problems is relatively weak; second, due to the limitations of hardware and software technology, the data analysis step is relatively weak in data processing and analysis, and it is difficult to achieve real-time processing and high-precision analysis of large-scale data; finally, the traditional distribution network power quality management method has a low degree of integration, and it is difficult to achieve information sharing and collaborative control between modules. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a power quality management method and system for a distribution network based on automation technology, and solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solutions: S1: Time zone division: determine the target distribution network as a management area, divide the management area into sub-time zones according to the equal time division method, and number the sub-time zones of the target distribution network as 1, 2, ..., n in sequence; S2: Power distribution data collection: Collect the power distribution data of the sub-time zone, the power distribution data includes transient power data and steady-state power data, and transmit the collected power distribution data to the system operation database; S3: power distribution data preprocessing: preprocess the data collected in S2, obtain the first power quality key text and the second power quality key text, and transmit the preprocessed key text to the system operation database; S4: Key text analysis: Analyze the key text preprocessed by S3 by establishing a mathematical model, and transmit the analysis results to the system operation database; S5: Comprehensive power quality analysis: including a comprehensive power quality analysis model, which is used to conduct a comprehensive analysis of the data in the management area. The data analyzed by S4 in the system operation database is imported into the comprehensive power quality analysis model, and the comprehensive quality evaluation index of the management area is calculated and transmitted to the system operation database. S6: judging the power quality: used to determine the comprehensive quality assessment standard value, compare the comprehensive quality assessment standard value with the comprehensive quality assessment index of the management area, and judge the power quality of the management area; S7: Distribution network control: Based on the judgment result of S6, the power quality status of the management area is classified and controlled, and the power quality abnormal value is calculated; S8: Abnormal value management: manage the management area in abnormal state based on the abnormal power quality value of S7; S9: Human-computer interaction: The data transmitted by the system operation database is output to the operation and maintenance personnel information terminal according to the preset summary method.

[0007] Preferably, the transient electric energy data include the duration and amplitude of voltage swell, the duration and amplitude of voltage sag, the short-time voltage interruption time, the effective value of current and the signal frequency, which are respectively recorded as Tr and Er, Td and Ed, Tu, Ia and Pc; the steady-state electric energy data include voltage harmonics, high-frequency amplitude, fundamental frequency amplitude, maximum value of current harmonics, fundamental current value, phase current peak value, three-phase average current, voltage fluctuation value and long-time voltage flicker value, which are respectively recorded as Vd, Vh, Vb, Id, Ib, Pv, Pa, Va and Vf.

[0008] Preferably, the duration and amplitude of voltage swell are the duration and amplitude of the voltage falling below the normal value, the duration and amplitude of voltage sag are the duration and amplitude of the voltage rising above the normal value, the short-term voltage interruption time is the duration of the voltage completely disappearing, and a high-precision power quality monitoring device is used to monitor the power supply voltage in real time, and a threshold value of voltage swell or voltage sag is set (usually 110% or 90% of the rated value). When the voltage is monitored to exceed this threshold, it is determined that a voltage swell event or a voltage sag event has started, and the start and end time of the voltage swell event or the voltage sag event is recorded, and the duration is calculated. The root mean square value of the voltage during the voltage swell or voltage sag is compared with the rated voltage to obtain the amplitude of the voltage swell; the fundamental frequency amplitude is directly measured by a laser vibrometer; the voltage harmonics are the voltage The voltage of other frequency components in the waveform except the fundamental wave, and the current harmonics are the current of other frequency components in the current waveform except the fundamental wave. They are measured by the power quality monitoring device, and the power quality analyzer is used to collect the harmonic current at the current input end of the interlocking device to extract the maximum harmonic current and the fundamental current value; the phase current peak value is the maximum value reached by a certain phase current in one cycle. The power of the transmission line is observed and the current waveform is recorded by an oscilloscope to obtain the phase current peak value; the three-phase average current is the average value of the three-phase current. The three-phase current is collected simultaneously by the power parameter measuring instrument, and the three-phase average current is calculated; the long-term voltage flicker value is a measure of the intensity of light flickering caused by voltage fluctuations over a long period of time. The power quality analyzer is used to connect to the public connection point or key load point in the distribution network for measurement.

[0009] Preferably, S3 is used to preprocess the power distribution data, and the preprocessing operation includes data cleaning, data verification and data processing. The specific preprocessing steps are as follows: A1: Receive power distribution data transmitted by the system operation database, which includes transient power data and steady-state power data; A2: Preprocess the transient power data. The preprocessed transient power data includes voltage swell coefficient, voltage sag coefficient, average voltage short-time interruption time, current deviation value and frequency deviation value, and integrate them into the first power quality key text; A3: Preprocess the steady-state power data. The preprocessed steady-state power data includes harmonic distortion, harmonic distortion rate, three-phase unbalance and voltage abnormality coefficient, and integrate them into the second power quality key text; A4: The pre-processed key text is transferred to the system operation database.

[0010] Preferably, the voltage swell duration Tr of the i-th sub-time zone is i and amplitude Er i , calculate the voltage swell coefficient, which is specifically expressed as: , the duration of the voltage surge through the i-th sub-time zone is Td i and Amplitude Ed i , calculate the voltage swell coefficient, which is specifically expressed as: , the voltage short-time interruption time Tu through the i-th sub-time zone i , calculate the average short-term interruption time of voltage, which is specifically expressed as: , the effective value of the current passing through the i-th sub-time zone Ia i The current deviation value is calculated by the rated current value I, which is specifically expressed as: , through the signal frequency Pc i The frequency deviation value is calculated by the rated frequency P, which is specifically expressed as: ; Voltage harmonic Vd through the i-th sub-time zone i , high frequency amplitude Vh i And the fundamental frequency amplitude Vb i , calculate the harmonic distortion, which is specifically expressed as: , the maximum value of the current harmonic Id passing through the i-th sub-time zone i And fundamental current value Ib i Calculate the harmonic distortion rate, which is specifically expressed as: , the phase current peak value Pv passing through the i-th sub-time zone i and the three-phase average current Pa i , calculate the three-phase unbalance, which is specifically expressed as: , the voltage anomaly coefficient is calculated through the voltage fluctuation value Va and the voltage long-term flicker value Vf, which is specifically expressed as:

[0011] Preferably, S4 is used to receive the key text and conduct in-depth analysis on the key text by establishing a mathematical model. The specific analysis steps are as follows: B1: receiving the key text pre-processed in the system operation database; B2: Establish a transient power data analysis model, analyze the first power quality key text, and analyze the transient power quality evaluation index of each sub-time area based on the voltage swell coefficient, voltage sag coefficient, voltage average short-time interruption time, current deviation value, and frequency deviation value. The specific expression is: , TP i Represents the transient power quality assessment index of the ith sub-time zone, Nr i represents the voltage transient coefficient of the ith sub-time zone, Nd i Indicates the voltage swell coefficient of the ith sub-time zone, Ni i Np represents the current deviation value of the i-th sub-time zone. irepresents the frequency deviation value of the ith sub-time zone, Nt represents the average short-term interruption time of the voltage in the management area, and e represents a natural constant; B3: Establish a steady-state power data analysis model, analyze the second power quality key text, and analyze the steady-state power quality evaluation index of each sub-time zone based on harmonic distortion, harmonic distortion rate, three-phase imbalance and voltage anomaly coefficient. The specific expression is: , Among them, SP i represents the steady-state power quality assessment index of the ith sub-time zone, Fp i represents the harmonic distortion rate of the ith sub-time region, Fd i represents the harmonic distortion of the ith sub-time region, Fl i represents the three-phase unbalance degree of the ith sub-time zone, Fv i represents the voltage anomaly coefficient of the ith sub-time zone, and n represents the total number of sub-time zones divided into the management area; B4: The analyzed transient power quality assessment index and steady-state power quality assessment index are transmitted to the system operation database.

[0012] Preferably, the S5 includes a comprehensive power quality analysis model, which is specifically expressed as: , Where D represents the comprehensive quality evaluation index of the management area, n represents the total number of sub-time areas divided into the management area, λ represents other influencing factors of the comprehensive quality evaluation index, TP i represents the transient power quality assessment index of the ith sub-time zone, SP i Represents the steady-state power quality assessment index of the i-th sub-time zone.

[0013] Preferably, S6 is used to judge the power quality of the management area, and the specific judgment process is as follows: C1: Establish an evaluation standard model, which is specifically expressed as follows: , Where D s Indicates the comprehensive quality assessment standard value, TP s Indicates the transient power quality assessment standard value, SP s Indicates the standard value of steady-state power quality assessment; C2: If D ≥ D s , indicating that the comprehensive quality assessment index of the management area is greater than or equal to the comprehensive quality assessment standard value, the power quality of the management area is considered normal; C3: If D<D s , indicating that the comprehensive quality assessment index of the management area is less than the comprehensive quality assessment standard value, the power quality of the management area is considered abnormal.

[0014] Preferably, the S7 performs classification control based on the power quality of the management area. When the power quality of the management area is in a normal state, the comprehensive quality evaluation index of the management area is updated to a new comprehensive quality evaluation standard value; when the power quality of the management area is in an abnormal state, abnormal events are obtained for the management area, and the abnormal events include but are not limited to instantaneous power outages, voltage drops, voltage flickers, three-phase imbalance, abnormal harmonic content, abnormal frequency, and low power factor. The abnormal events are optimized through automation technology, and the power quality abnormality value is calculated. The specific calculation formula is: , Where η represents the abnormal value of power quality in the management area, D s represents the comprehensive quality assessment standard value, D represents the comprehensive quality assessment index of the power quality abnormal state management area, φ represents the comprehensive application adjustment parameter of power quality abnormality, t represents the recovery time of the abnormal event; and the power quality abnormal value is transmitted to the system operation database.

[0015] Preferably, the S8 is managed based on the power quality abnormal value, obtains the abnormal threshold, compares the abnormal threshold with the power quality abnormal value, and the abnormal threshold is obtained through a preset analysis database, which is used to store preset data for power quality management of the distribution network; if the power quality abnormal value is greater than or equal to the abnormal threshold, it means that the system automatically controls the power quality of the distribution network successfully; if the power quality abnormal value is less than the abnormal threshold, it means that the system automatically controls the power quality of the distribution network failed, and a warning signal is sent to the operation and maintenance personnel terminal.

[0016] The present invention also provides a power quality management system for a distribution network based on automation technology, which is applied to the above-mentioned power quality management method for a distribution network based on automation technology, comprising: Time zone division module: determine the target distribution network as a management area, divide the management area into sub-time zones according to the equal time division method, and number the sub-time zones of the target distribution network as 1, 2, ..., n in sequence; Power distribution data acquisition module: collects power distribution data in sub-time zones, including transient power data and steady-state power data, and transmits the collected power distribution data to the power distribution data preprocessing module; Power distribution data preprocessing module: preprocesses the data of the power distribution data acquisition module, obtains the first power quality key text and the second power quality key text, and transmits the preprocessed key text to the power distribution data analysis module; Power distribution data analysis module: analyzes the key text preprocessed by the power distribution data preprocessing module by establishing a mathematical model, and transmits the analysis results to the comprehensive power quality analysis module; Comprehensive power quality analysis module: including comprehensive power quality analysis model, which is used to conduct comprehensive analysis on the data of the management area, import the data analyzed by the key text analysis module into the comprehensive power quality analysis model, calculate the comprehensive quality evaluation index of the management area, and transmit it to the system operation database; Power quality judgment module: used to determine the comprehensive quality assessment standard value, compare the comprehensive quality assessment standard value with the comprehensive quality assessment index of the management area, and judge the power quality of the management area; Distribution network control module: Based on the judgment results of the power quality judgment module, the power quality status of the management area is classified and controlled, and the power quality abnormal value is calculated; Abnormal value management module: manages the management area in abnormal state based on the abnormal power quality value of the distribution network control module; Human-computer interaction module: outputs the data transmitted from the system operation database to the operation and maintenance personnel information terminal according to the preset summary method.

[0017] Technical effects and advantages of the present invention: The present invention divides the operation time of the distribution network into sub-areas through a time area division step, and each sub-time area operates independently, ensuring that the data can be processed efficiently; the distribution data of the distribution network is collected through high-precision sensors and measuring instruments, and the distribution data includes steady-state power quality data and transient power quality data, ensuring the comprehensiveness and accuracy of the data source, and laying a solid data foundation for subsequent data preprocessing and analysis; the steady-state power quality data and the transient power quality data are preprocessed through a distribution data preprocessing step to obtain a first power quality key text and a second power quality key text, and through a key text analysis step, the first power quality key text and the second power quality key text are respectively deeply analyzed, and the evaluation index of each sub-time area is extracted through a specific mathematical model, including a steady-state power quality evaluation index and a transient power quality evaluation index; Through the comprehensive power quality analysis steps, the comprehensive quality assessment index is calculated using the comprehensive power quality analysis model to comprehensively reflect the safety status of the distribution network and provide a scientific basis for the overall operation status; by judging the power quality, the comprehensive quality assessment standard value is compared with the comprehensive quality assessment index of the management area, the power quality status of the management area is judged, and the different power quality states of the management area are classified and controlled through the distribution network control steps, the management area with abnormal power quality is optimized and the power quality abnormal value is obtained, the power quality problems are discovered and handled in time, and the power quality of the distribution network is ensured to meet national standards and user needs; the processed data is transmitted to the system operation database, and each step is coordinated through the system operation database to improve the information sharing function. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0019] Figure 2 It is a schematic diagram of the structure of the power distribution data analysis steps of the present invention.

[0020] Figure 3 It is a schematic diagram of the system operation of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] As attached Figure 1 A method and system for managing power quality of a distribution network based on automation technology is shown, and the flow chart mainly includes the following steps: S1 to S9.

[0023] S1: Time zone division: determine the target distribution network as a management area, divide the management area into sub-time zones according to an equal time division method, and number the sub-time zones of the target distribution network as 1, 2, ..., n in sequence.

[0024] S2: Power distribution data collection: Collect the power distribution data of the sub-time zone, the power distribution data includes transient power data and steady-state power data, and transmit the collected power distribution data to the system operation database.

[0025] In this embodiment, it should be specifically explained that the transient power data includes the duration and amplitude of the voltage swell, the duration and amplitude of the voltage sag, the short-time voltage interruption time, the effective value of the current and the signal frequency, which are respectively recorded as Tr and Er, Td and Ed, Tu, Ia and Pc; the steady-state power data includes voltage harmonics, high-frequency amplitude, fundamental frequency amplitude, maximum value of current harmonics, fundamental current value, phase current peak value, three-phase average current, voltage fluctuation value and long-time voltage flicker value, which are respectively recorded as Vd, Vb, Id, Ib, Pv, Pa, Va and Vf.

[0026] Furthermore, the duration and amplitude of voltage swell are the duration and amplitude of the voltage dropping below the normal value, the duration and amplitude of voltage sag are the duration and amplitude of the voltage rising above the normal value, and the short-term voltage interruption time is the duration of the voltage completely disappearing. A high-precision power quality monitoring device is used to monitor the power supply voltage in real time, and a threshold value for voltage swell or voltage sag is set (usually 110% or 90% of the rated value). When the voltage is monitored to exceed this threshold, it is determined that a voltage swell event or a voltage sag event has begun. The start and end time of the voltage swell event or the voltage sag event is recorded, and the duration is calculated. The root mean square value of the voltage during the voltage swell or voltage sag is compared with the rated voltage to obtain the amplitude of the voltage swell; the fundamental frequency amplitude is directly measured by a laser vibrometer; the voltage harmonics are the voltage The voltage of other frequency components in the waveform except the fundamental wave, and the current harmonics are the current of other frequency components in the current waveform except the fundamental wave. They are measured by the power quality monitoring device, and the power quality analyzer is used to collect the harmonic current at the current input end of the interlocking device to extract the maximum harmonic current and the fundamental current value; the phase current peak value is the maximum value reached by a certain phase current in one cycle. The power of the transmission line is observed and the current waveform is recorded by an oscilloscope to obtain the phase current peak value; the three-phase average current is the average value of the three-phase current. The three-phase current is collected simultaneously by the power parameter measuring instrument, and the three-phase average current is calculated; the long-term voltage flicker value is a measure of the intensity of light flickering caused by voltage fluctuations over a long period of time. The power quality analyzer is used to connect to the public connection point or key load point in the distribution network for measurement.

[0027] S3: power distribution data preprocessing: preprocess the data collected by S2, obtain the first power quality key text and the second power quality key text, and transmit the preprocessed key text to the system operation database.

[0028] In this embodiment, it should be specifically explained that S3 is used to pre-process the power distribution data. The pre-processing operation includes data cleaning, data verification and data processing. The specific pre-processing steps are as follows: A1: Receive power distribution data transmitted by the system operation database, which includes transient power data and steady-state power data; A2: Preprocess the transient power data. The preprocessed transient power data includes voltage swell coefficient, voltage sag coefficient, average voltage short-time interruption time, current deviation value and frequency deviation value, and integrate them into the first power quality key text; A3: Preprocess the steady-state power data. The preprocessed steady-state power data includes harmonic distortion, harmonic distortion rate, three-phase unbalance and voltage abnormality coefficient, and integrate them into the second power quality key text; A4: The pre-processed power distribution data is transmitted to the system operation database.

[0029] Furthermore, the voltage swell duration Tr of the i-th sub-time zone is i and amplitude Er i , calculate the voltage swell coefficient, which is specifically expressed as: , the duration of the voltage surge through the i-th sub-time zone is Td i and Amplitude Ed i , calculate the voltage swell coefficient, which is specifically expressed as: , the voltage short-time interruption time Tu through the i-th sub-time zone i , calculate the average short-term interruption time of voltage, which is specifically expressed as: , the effective value of the current passing through the i-th sub-time zone Ia i The current deviation value is calculated by the rated current value I, which is specifically expressed as: , through the signal frequency Pc i The frequency deviation value is calculated by the rated frequency P, which is specifically expressed as: ; Voltage harmonic Vd through the i-th sub-time zone i , high frequency amplitude Vh i And the fundamental frequency amplitude Vb i , calculate the harmonic distortion, which is specifically expressed as: , the maximum value of the current harmonic Id passing through the i-th sub-time zone i And fundamental current value Ib i Calculate the harmonic distortion rate, which is specifically expressed as: , the phase current peak value Pv passing through the i-th sub-time zone i and the three-phase average current Pa i , calculate the three-phase unbalance, which is specifically expressed as: , the voltage anomaly coefficient is calculated through the voltage fluctuation value Va and the voltage long-term flicker value Vf, which is specifically expressed as: .

[0030] S4: Key text analysis: Analyze the key text preprocessed by S3 by establishing a mathematical model, and transmit the analysis results to the system operation database.

[0031] In this embodiment, it should be specifically explained that S4 is used to receive key text and conduct in-depth analysis on the key text by establishing a mathematical model. The specific analysis steps are as follows: B1: receiving the key text pre-processed in the system operation database; B2: Establish a transient power data analysis model, analyze the first power quality key text, and analyze the transient power quality evaluation index of each sub-time area based on the voltage swell coefficient, voltage sag coefficient, voltage average short-time interruption time, current deviation value, and frequency deviation value. The specific expression is: , TP i Represents the transient power quality assessment index of the ith sub-time zone, Nr i represents the voltage transient coefficient of the ith sub-time zone, Nd i Indicates the voltage swell coefficient of the ith sub-time zone, Ni i Np represents the current deviation value of the i-th sub-time zone. i represents the frequency deviation value of the ith sub-time zone, Nt represents the average short-term interruption time of the voltage in the management area, and e represents a natural constant; B3: Establish a steady-state power data analysis model, analyze the second power quality key text, and analyze the steady-state power quality evaluation index of each sub-time zone based on harmonic distortion, harmonic distortion rate, three-phase imbalance and voltage anomaly coefficient. The specific expression is: , Among them, SP i represents the steady-state power quality assessment index of the ith sub-time zone, Fp i represents the harmonic distortion rate of the ith sub-time region, Fd i represents the harmonic distortion of the ith sub-time region, Fl i represents the three-phase unbalance degree of the ith sub-time zone, Fv i represents the voltage anomaly coefficient of the ith sub-time zone, and n represents the total number of sub-time zones divided into the management area; B4: The analyzed transient power quality assessment index and steady-state power quality assessment index are transmitted to the system operation database.

[0032] S5: Comprehensive power quality analysis: including a comprehensive power quality analysis model, which is used to conduct a comprehensive analysis of the data in the management area. The data analyzed by S4 in the system operation database is imported into the comprehensive power quality analysis model, and the comprehensive quality evaluation index of the management area is calculated and transmitted to the system operation database.

[0033] In this embodiment, it should be specifically noted that S5 includes a comprehensive power quality analysis model, which is specifically expressed as: Where D represents the comprehensive quality evaluation index of the management area, n represents the total number of sub-time areas divided into the management area, λ represents other influencing factors of the comprehensive quality evaluation index, TP i represents the transient power quality assessment index of the ith sub-time zone, SPi Represents the steady-state power quality assessment index of the i-th sub-time zone.

[0034] S6: Determine the power quality: used to determine the comprehensive quality assessment standard value, compare the comprehensive quality assessment standard value with the comprehensive quality assessment index of the management area, and determine the power quality of the management area.

[0035] In this embodiment, it should be specifically explained that S6 is used to judge the power quality of the management area, and the specific judgment process is as follows: C1: Establish an evaluation standard model, which is specifically expressed as follows: , Where D s Indicates the comprehensive quality assessment standard value, TP s Indicates the transient power quality assessment standard value, SP s Indicates the standard value of steady-state power quality assessment; C2: If D ≥ D s , indicating that the comprehensive quality assessment index of the management area is greater than or equal to the comprehensive quality assessment standard value, the power quality of the management area is considered normal; C3: If D<D s , indicating that the comprehensive quality assessment index of the management area is less than the comprehensive quality assessment standard value, the power quality of the management area is considered abnormal.

[0036] S7: Distribution network control: Based on the judgment result of S6, the power quality status of the management area is classified and controlled, and the power quality abnormal value is calculated.

[0037] In this embodiment, it should be specifically explained that S7 performs classification control based on the power quality of the management area. When the power quality of the management area is in a normal state, the comprehensive quality evaluation index of the management area is updated to a new comprehensive quality evaluation standard value; when the power quality of the management area is in an abnormal state, abnormal events are obtained for the management area, and the abnormal events include but are not limited to instantaneous power outages, voltage drops, voltage flickers, three-phase imbalance, abnormal harmonic content, abnormal frequency, and low power factor. The abnormal events are optimized through automation technology, and the power quality abnormality value is calculated. The specific calculation formula is: , Where η represents the abnormal value of power quality in the management area, D s represents the comprehensive quality assessment standard value, D represents the comprehensive quality assessment index of the power quality abnormal state management area, φ represents the comprehensive application adjustment parameter of power quality abnormality, t represents the recovery time of the abnormal event; and the power quality abnormal value is transmitted to the system operation database.

[0038] S8: Abnormal value management: Manage the management area in abnormal state based on the power quality abnormal value of S7.

[0039] In this embodiment, it should be specifically explained that S8 performs management based on the abnormal value of power quality, obtains the abnormal threshold, compares the abnormal threshold with the abnormal value of power quality, and the abnormal threshold is obtained through a preset analysis database, which is used to store preset data for power quality management of the distribution network; if the abnormal value of power quality is greater than or equal to the abnormal threshold, it means that the system automatically controls the power quality of the distribution network successfully; if the abnormal value of power quality is less than the abnormal threshold, it means that the system automatically controls the power quality of the distribution network failed, and a warning signal is sent to the operation and maintenance personnel terminal.

[0040] S9: Human-computer interaction: The data transmitted by the system operation database is output to the operation and maintenance personnel information terminal according to the preset summary method.

[0041] As attached Figure 3 The power quality management system of the distribution network based on automation technology shown in the figure also includes: Time zone division module: determine the target distribution network as a management area, divide the management area into sub-time zones according to the equal time division method, and number the sub-time zones of the target distribution network as 1, 2, ..., n in sequence; Power distribution data acquisition module: collects power distribution data in the sub-time zone, including transient power data and steady-state power data, and transmits the collected power distribution data to the power distribution data preprocessing module; Power distribution data preprocessing module: preprocesses the data of the power distribution data acquisition module, obtains the first power quality key text and the second power quality key text, and transmits the preprocessed key text to the power distribution data analysis module; Key text analysis module: analyzes the key text preprocessed by the power distribution data preprocessing module by establishing a mathematical model, and transmits the analysis results to the comprehensive power quality analysis module; Comprehensive power quality analysis module: including comprehensive power quality analysis model, which is used to conduct comprehensive analysis on the data of the management area, import the data analyzed by the key text analysis module into the comprehensive power quality analysis model, calculate the comprehensive quality evaluation index of the management area, and transmit it to the system operation database; Power quality judgment module: used to determine the comprehensive quality assessment standard value, compare the comprehensive quality assessment standard value with the comprehensive quality assessment index of the management area, and judge the power quality of the management area; Distribution network control module: Based on the judgment results of the power quality judgment module, the power quality status of the management area is classified and controlled, and the power quality abnormal value is calculated; Abnormal value management module: manages the management area in abnormal state based on the abnormal power quality value of the distribution network control module; Human-computer interaction module: outputs the data transmitted from the system operation database to the operation and maintenance personnel information terminal according to the preset summary method.

[0042] The present invention divides the operation time of the distribution network into sub-areas through a time area division step, and each sub-time area operates independently, ensuring that the data can be processed efficiently; the distribution data of the distribution network is collected through high-precision sensors and measuring instruments, and the distribution data includes steady-state power quality data and transient power quality data, ensuring the comprehensiveness and accuracy of the data source, and laying a solid data foundation for subsequent data preprocessing and analysis; the steady-state power quality data and the transient power quality data are preprocessed through a distribution data preprocessing step to obtain a first power quality key text and a second power quality key text, and through a key text analysis step, the first power quality key text and the second power quality key text are respectively deeply analyzed, and an evaluation index of each sub-time area is extracted through a specific mathematical model, including a steady-state power quality evaluation index. Evaluation index and transient power quality evaluation index; through the comprehensive power quality analysis steps, the comprehensive power quality analysis model is used to calculate the comprehensive quality evaluation index, which comprehensively reflects the safety status of the distribution network and provides a scientific basis for the overall operation status; by judging the power quality, the comprehensive quality evaluation standard value is compared with the comprehensive quality evaluation index of the management area, the power quality status of the management area is judged, and the different power quality states of the management area are classified and controlled through the distribution network control steps, the management area with abnormal power quality is optimized and the power quality abnormal value is obtained, the power quality problem is discovered and handled in time, and the power quality of the distribution network is ensured to meet national standards and user needs; the processed data is transmitted to the system operation database, and each step is coordinated through the system operation database to improve the information sharing function.

[0043] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A power quality management method for a distribution network based on automation technology, characterized in that: include: S1: Time zone division: determine the target distribution network as a management area, divide the management area into sub-time zones according to the equal time division method, and number the sub-time zones of the target distribution network as 1, 2, ..., n in sequence; S2: Power distribution data collection: Collect the power distribution data of the sub-time zone, the power distribution data includes transient power data and steady-state power data, and transmit the collected power distribution data to the system operation database; S3: power distribution data preprocessing: preprocess the data collected in S2, obtain the first power quality key text and the second power quality key text, and transmit the preprocessed key text to the system operation database; S4: Key text analysis: Analyze the key text preprocessed by S3 by establishing a mathematical model, and transmit the analysis results to the system operation database; S5: Comprehensive power quality analysis: including a comprehensive power quality analysis model, which is used to conduct a comprehensive analysis of the data in the management area. The data analyzed by S4 in the system operation database is imported into the comprehensive power quality analysis model, and the comprehensive quality evaluation index of the management area is calculated and transmitted to the system operation database. S6: judging the power quality: used to determine the comprehensive quality assessment standard value, compare the comprehensive quality assessment standard value with the comprehensive quality assessment index of the management area, and judge the power quality of the management area; S7: Distribution network control: Based on the judgment result of S6, the power quality status of the management area is classified and controlled, and the power quality abnormal value is calculated; S8: Abnormal value management: manage the management area in abnormal state based on the abnormal power quality value of S7; S9: Human-computer interaction: The data transmitted by the system operation database is output to the operation and maintenance personnel information terminal according to the preset summary method.

2. The method for managing power quality of a distribution network based on automation technology according to claim 1, characterized in that: The transient electric energy data include the duration and amplitude of voltage swell, the duration and amplitude of voltage sag, the short-time voltage interruption time, the effective value of current and the signal frequency, which are respectively recorded as Tr and Er, Td and Ed, Tu, Ia and Pc; the steady-state electric energy data include voltage harmonics, high-frequency amplitude, fundamental frequency amplitude, maximum value of current harmonics, fundamental current value, phase current peak value, three-phase average current, voltage fluctuation value and long-time voltage flicker value, which are respectively recorded as Vd, Vb, Id, Ib, Pv, Pa, Va and Vf.

3. The method for managing power quality of a distribution network based on automation technology according to claim 1, characterized in that: S3 is used to preprocess the power distribution data. The preprocessing operation includes data cleaning, data verification and data processing. The specific preprocessing steps are as follows: A1: Receive power distribution data transmitted by the system operation database, which includes transient power data and steady-state power data; A2: Preprocess the transient power data. The preprocessed transient power data includes voltage swell coefficient, voltage sag coefficient, average voltage short-time interruption time, current deviation value and frequency deviation value, and integrate them into the first power quality key text; A3: Preprocess the steady-state power data. The preprocessed steady-state power data includes harmonic distortion, harmonic distortion rate, three-phase unbalance and voltage abnormality coefficient, and integrate them into the second power quality key text; A4: The pre-processed key text is transferred to the system operation database.

4. The method for managing power quality of a distribution network based on automation technology according to claim 1, characterized in that: The S4 is used to receive the key text and conduct in-depth analysis on the key text by establishing a mathematical model. The specific analysis steps are as follows: B1: receiving the key text pre-processed in the system operation database; B2: Establish a transient power data analysis model, analyze the first power quality key text, and analyze the transient power quality evaluation index of each sub-time area based on the voltage swell coefficient, voltage sag coefficient, voltage average short-time interruption time, current deviation value, and frequency deviation value. The specific expression is: , TP i Represents the transient power quality assessment index of the ith sub-time zone, Nr i represents the voltage transient coefficient of the ith sub-time zone, Nd i Indicates the voltage swell coefficient of the ith sub-time zone, Ni i Np represents the current deviation value of the i-th sub-time zone. i represents the frequency deviation value of the ith sub-time zone, Nt represents the average short-term interruption time of the voltage in the management area, and e represents a natural constant; B3: Establish a steady-state power data analysis model, analyze the second power quality key text, and analyze the steady-state power quality evaluation index of each sub-time zone based on harmonic distortion, harmonic distortion rate, three-phase imbalance and voltage anomaly coefficient. The specific expression is: , Among them, SP i represents the steady-state power quality assessment index of the ith sub-time zone, Fp i represents the harmonic distortion rate of the ith sub-time region, Fd i represents the harmonic distortion of the ith sub-time region, Fl i represents the three-phase unbalance degree of the ith sub-time zone, Fv i represents the voltage anomaly coefficient of the ith sub-time zone, and n represents the total number of sub-time zones divided into the management area; B4: The analyzed transient power quality assessment index and steady-state power quality assessment index are transmitted to the system operation database.

5. The method for managing power quality of a distribution network based on automation technology according to claim 1, characterized in that: The S5 includes a comprehensive power quality analysis model, which is specifically expressed as: , Where D represents the comprehensive quality evaluation index of the management area, n represents the total number of sub-time areas divided into the management area, λ represents other influencing factors of the comprehensive quality evaluation index, TP i represents the transient power quality assessment index of the ith sub-time zone, SP i Represents the steady-state power quality assessment index of the i-th sub-time zone.

6. The method for managing power quality of a distribution network based on automation technology according to claim 1, characterized in that: S6 is used to judge the power quality of the management area, and the specific judgment process is as follows: C1: Establish an evaluation standard model, which is specifically expressed as follows: , Where D s Indicates the comprehensive quality assessment standard value, TP s Indicates the transient power quality assessment standard value, SP s Indicates the standard value of steady-state power quality assessment; C2: If D ≥ D s , indicating that the comprehensive quality assessment index of the management area is greater than or equal to the comprehensive quality assessment standard value, the power quality of the management area is considered normal; C3: If D<D s , indicating that the comprehensive quality assessment index of the management area is less than the comprehensive quality assessment standard value, the power quality of the management area is considered abnormal.

7. The method for managing power quality of a distribution network based on automation technology according to claim 1, characterized in that: The S7 performs classification control based on the power quality of the management area. When the power quality of the management area is in a normal state, the comprehensive quality assessment index of the management area is updated to a new comprehensive quality assessment standard value; when the power quality of the management area is in an abnormal state, abnormal events are obtained for the management area. The abnormal events include but are not limited to instantaneous power outages, voltage drops, voltage flickers, three-phase imbalance, abnormal harmonic content, abnormal frequency, and low power factor. The abnormal events are optimized through automation technology, and the power quality abnormal values ​​are calculated, and the power quality abnormal values ​​are transmitted to the system operation database.

8. The method for managing power quality of a distribution network based on automation technology according to claim 1, characterized in that: The S8 performs management based on the abnormal value of power quality, obtains an abnormal threshold, compares the abnormal threshold with the abnormal value of power quality, and the abnormal threshold is obtained through a preset analysis database, which is used to store preset data for power quality management of the distribution network; If the power quality abnormal value is greater than or equal to the abnormal threshold, it means that the system has successfully automatically regulated the power quality of the distribution network; If the power quality abnormal value is less than the abnormal threshold, it means that the system has failed to automatically control the power quality of the distribution network, and a warning signal will be sent to the operation and maintenance personnel terminal.

9. A power quality management system for a distribution network based on automation technology according to any one of claims 1 to 8, characterized in that: Time zone division module: determine the target distribution network as a management area, divide the management area into sub-time zones according to the equal time division method, and number the sub-time zones of the target distribution network as 1, 2, ..., n in sequence; Power distribution data acquisition module: collects power distribution data in the sub-time zone, including transient power data and steady-state power data, and transmits the collected power distribution data to the power distribution data preprocessing module; Power distribution data preprocessing module: preprocesses the data of the power distribution data acquisition module, obtains the first power quality key text and the second power quality key text, and transmits the preprocessed key text to the power distribution data analysis module; Key text analysis module: analyzes the key text preprocessed by the power distribution data preprocessing module by establishing a mathematical model, and transmits the analysis results to the comprehensive power quality analysis module; Comprehensive power quality analysis module: including comprehensive power quality analysis model, which is used to conduct comprehensive analysis on the data of the management area, import the data analyzed by the key text analysis module into the comprehensive power quality analysis model, calculate the comprehensive quality evaluation index of the management area, and transmit it to the system operation database; Power quality judgment module: used to determine the comprehensive quality assessment standard value, compare the comprehensive quality assessment standard value with the comprehensive quality assessment index of the management area, and judge the power quality of the management area; Distribution network control module: Based on the judgment results of the power quality judgment module, the power quality status of the management area is classified and controlled, and the power quality abnormal value is calculated; Abnormal value management module: manages the management area in abnormal state based on the abnormal power quality value of the distribution network control module; Human-computer interaction module: outputs the data transmitted from the system operation database to the operation and maintenance personnel information terminal according to the preset summary method.

10. A power quality management system for a distribution network based on automation technology according to any one of claim 9, characterized in that: The abnormal value management module manages based on the abnormal value of power quality, obtains the abnormal threshold, compares the abnormal threshold with the abnormal value of power quality, and the abnormal threshold is obtained through a preset analysis database, which is used to store preset data for power quality management of the distribution network; If the power quality abnormal value is greater than or equal to the abnormal threshold, it means that the system has successfully automatically regulated the power quality of the distribution network; If the power quality abnormal value is less than the abnormal threshold, it means that the system has failed to automatically control the power quality of the distribution network, and a warning signal will be sent to the operation and maintenance personnel terminal.

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