Harmonic electric energy metering control system based on artificial intelligence

Abstract

The invention relates to the technical field of harmonic electric energy metering, and particularly discloses a harmonic electric energy metering control system based on artificial intelligence. Comprising a harmonic data acquisition module, a harmonic data preprocessing module, a harmonic electric energy data analysis module, a harmonic data error analysis module, a harmonic electric energy comprehensive analysis module, a metering error evaluation module and a management early warning module. According to the method, the harmonic data are collected from the power grid and preprocessed, the harmonic voltage error index, the harmonic current error index and the harmonic active power error index are obtained through analysis, and then the harmonic electric energy metering error evaluation index is obtained through analysis; accurate detection and real-time error metering analysis for monitoring harmonic waves of a power system are realized, electric energy metering errors are evaluated and controlled, accuracy and reliability of electric energy metering are improved, and safe and stable operation of a power grid is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of harmonic electric energy metering, and in particular to a harmonic electric energy metering control system based on artificial intelligence. Background Art

[0002] As a special product, the quality of electric energy is increasingly valued by many departments such as power production, transmission, utilization and management. Modern power grid plays a vital role in society and economy. With the rapid development of power electronics technology, various nonlinear loads such as high-power rectification, commutation equipment, arc furnaces, etc. are increasing, causing different degrees of distortion of voltage and current waveforms in the power supply system, generating a large number of high-order harmonics, which are harmful to the safety and economic operation of the power supply system.

[0003] Harmonics refer to waveform components in periodic waveforms whose frequencies are integer multiples of the fundamental frequency. In power systems, harmonics are mainly caused by nonlinear loads, which can lead to errors in energy metering, thus affecting the fairness and accuracy of power trading.

[0004] Traditional harmonic energy metering control systems mainly focus on identifying and quantifying harmonic components in power systems. These systems evaluate power quality by collecting harmonic voltage and current detection, harmonic frequency and amplitude measurement, and fundamental wave and total power measurement. However, although these methods have achieved harmonic detection to a certain extent, they often have the following limitations: first, limited detection accuracy, poor real-time performance, and susceptibility to noise interference. Second, due to the complexity of data processing and analysis, traditional systems often cannot meet the requirements of modern power systems in terms of real-time harmonic detection, especially in the case of rapid changes or emergencies in harmonics. In addition, traditional control systems focus on the analysis of harmonic components in power systems, and do not perform data analysis on metering errors, resulting in inaccurate and unreliable energy metering.

[0005] Therefore, the present invention analyzes the error of harmonic electric energy metering in real time, evaluates the electric energy metering error, controls the metering error, and improves the accuracy and reliability of electric energy metering. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a harmonic electric energy metering control system based on artificial intelligence to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a harmonic electric energy metering control system based on artificial intelligence, comprising a harmonic data acquisition module, a harmonic data preprocessing module, a harmonic electric energy data analysis module, a harmonic data error analysis module, a harmonic electric energy comprehensive analysis module, a metering error evaluation module and a management early warning module.

[0008] Harmonic data acquisition module: used to collect comprehensive parameters of harmonic data from the power grid and transmit the collected comprehensive parameters to the harmonic data preprocessing module. The harmonic data acquisition module includes a harmonic voltage data acquisition unit, a harmonic current data acquisition unit and a harmonic active power data acquisition unit; Harmonic data preprocessing module: used to preprocess the comprehensive parameters collected by the harmonic data acquisition module, and transmit the preprocessed data to the harmonic power data analysis module; Harmonic power data analysis module: used to import the pre-processed harmonic data into the corresponding mathematical model to calculate the harmonic voltage error index, harmonic current error index and harmonic active power error index, and transmit the calculation results to the harmonic data error analysis module; Harmonic data error analysis module: used to compare the data transmitted by the harmonic power data analysis module with the preset value to determine whether there is a metering error. If there is a metering error, the abnormal result will be sent to the operation and maintenance management personnel; Harmonic power comprehensive analysis module: input the harmonic voltage error index, harmonic current error index and harmonic active power error index into the established mathematical model to calculate the harmonic power metering error evaluation index, and transmit the calculation result to the metering error evaluation module; Metering error evaluation module: used to establish harmonic power metering error model and conduct comparative analysis, and transmit the comparative analysis results to the management and early warning module; Management and early warning module: used to monitor the changes in harmonic power in the power system in real time, and output or store the analysis results of power metering error data, and provide an alarm mechanism to remind operation and maintenance personnel to take timely measures to deal with abnormal situations.

[0009] Preferably, the harmonic voltage data acquisition unit is used to acquire harmonic voltage parameters, and the harmonic voltage parameters include the effective value of the h-th harmonic voltage, the initial phase angle of the h-th harmonic voltage, the fundamental angular frequency and the effective value of the fundamental voltage; the harmonic current data acquisition unit is used to acquire harmonic current parameters, and the harmonic current parameters include the effective value of the h-th harmonic current, the initial phase angle of the h-th harmonic current, the fundamental angular frequency and the effective value of the fundamental current; the harmonic active power data acquisition unit is used to acquire harmonic active power parameters, and the harmonic active power parameters include the effective value of the h-th harmonic voltage, the initial phase angle of the h-th harmonic voltage, the effective value of the h-th harmonic current, the initial phase angle of the h-th harmonic current, the effective value of the fundamental voltage, the effective value of the fundamental current and the phase difference between the fundamental voltage and the fundamental current.

[0010] Preferably, the harmonic data preprocessing module preprocesses the collected data by performing noise reduction, outlier detection, and outlier processing on the data through existing filtering technology.

[0011] Preferably, the calculation steps of the harmonic voltage error index are as follows: Step S01: Calculate the distortion voltage. The calculation model is as follows: ,in, Expressed as the distorted voltage at time t, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the initial phase angle of the hth harmonic voltage, N is the highest harmonic number in the waveform, and h is the hth harmonic. It is expressed as the fundamental angular frequency, and t is expressed as the time variable; Step S02: Calculate the voltage total harmonic distortion rate, the calculation model is as follows: ,in, , Expressed as the hth harmonic voltage content rate, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the effective value of the fundamental voltage, N is the highest harmonic order intercepted by the voltage, N≤50; Step S03: Calculate the harmonic voltage error index, and the calculation model is as follows: ,in, Expressed as harmonic voltage error index, Expressed as the distorted voltage at time t, It is represented by the preset standard distortion voltage at time t, Expressed as the total harmonic voltage effective value, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the effective value of the fundamental voltage, N is the highest harmonic order of the voltage interception, N≤50, Expressed as voltage total harmonic distortion, Indicates the preset upper limit of voltage total harmonic distortion rate.

[0012] Preferably, the calculation steps of the harmonic current error index are as follows: Step S01: Calculate the distorted current. The calculation model is as follows: ,in, Expressed as the distorted current at time t, It is expressed as the effective value of the harmonic current of order h, It is expressed as the initial phase angle of the hth harmonic current, N is the highest harmonic order in the waveform, and h is the hth harmonic. It is expressed as the fundamental angular frequency, and t is expressed as the time variable; Step S02: Calculate the total harmonic distortion of the current. The calculation model is as follows: ,in, , Expressed as the hth harmonic current content rate, It is expressed as the effective value of the harmonic current of order h, It is expressed as the effective value of the fundamental current, N is expressed as the highest harmonic order intercepted by the current, N≤50; Step S03: Calculate the harmonic current error index, and the calculation model is as follows: ,in, Expressed as harmonic current error index, Expressed as the distorted current at time t, Expressed as the preset standard distortion current at time t, Expressed as the total harmonic current effective value, It is expressed as the effective value of harmonic current of order h, It is expressed as the effective value of the fundamental current, N is the highest harmonic order intercepted by the current, N≤50, Expressed as the total harmonic distortion of current, Indicates the preset upper limit of the total harmonic distortion rate of current.

[0013] Preferably, the calculation steps of the harmonic active power error index are as follows: Step S01: Calculate the harmonic active power, the calculation model is as follows: ,in, It is expressed as harmonic active power, T is expressed as the period of AC voltage and AC current, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the initial phase angle of the hth harmonic voltage, It is expressed as the effective value of harmonic current of order h, It is expressed as the initial phase angle of the hth harmonic current, N is the highest harmonic order in the waveform, and h is the hth harmonic. is represented as the fundamental angular frequency, and t is represented as the time variable.

[0014] Step S02: Calculate the harmonic active power error index, and the calculation model is as follows: ,in, Expressed as harmonic active power error index, Expressed as harmonic active power, , Expressed as fundamental active power, Expressed as the effective value of the fundamental voltage, Expressed as the effective value of the fundamental current, Expressed as the phase difference between the fundamental voltage and the fundamental current.

[0015] Preferably, the harmonic data error analysis module compares the data transmitted by the harmonic power data analysis module with the preset value in the following specific manner: Extracting harmonic voltage error indicators , if the harmonic voltage error index Greater than the harmonic voltage error indicator threshold , it is judged that there is a measurement error in the harmonic voltage, and the abnormal result is sent to the operation and maintenance management personnel; otherwise, it indicates that there is no measurement error in the harmonic voltage; Extracting harmonic current error indicators , if the harmonic current error index Greater than the harmonic current error indicator threshold , it is judged that there is a measurement error in the harmonic current, and the abnormal result is sent to the operation and maintenance management personnel; otherwise, it indicates that there is no measurement error in the harmonic current; Extracting harmonic active power error indicators , if the harmonic active power error index Greater than the harmonic active power error indicator threshold , it is judged that there is a measurement error in the harmonic active power, and the abnormal result is sent to the operation and maintenance management personnel. Otherwise, it indicates that there is no measurement error in the harmonic active power.

[0016] Preferably, the harmonic electric energy metering error evaluation index calculation model is as follows: ,in, Expressed as harmonic energy metering error evaluation index, Expressed as harmonic voltage error index, Expressed as harmonic current error index, Expressed as harmonic active power error index, Other influencing factors expressed as error assessment index.

[0017] Preferably, the harmonic electric energy measurement error model is: ,in, It represents the harmonic energy metering error evaluation index calculated for the measured value, It is expressed as the theoretically calculated harmonic electric energy metering error evaluation index. If η is greater than 1, it indicates that there is a metering error in the harmonic electric energy. Otherwise, it indicates that there is no metering error in the harmonic electric energy.

[0018] Technical effects and advantages of the present invention: 1. The present invention realizes high-precision harmonic power metering through analysis of metering errors, enhances real-time monitoring capabilities, improves data analysis efficiency, and improves the intelligence level of the entire system. It adopts advanced artificial intelligence technology to provide more accurate power metering and more comprehensive power quality monitoring for the power system, so as to meet the needs of future power systems for high power quality and intelligent management; 2. The present invention combines artificial intelligence technology to accurately analyze the harmonic data collected in the power grid, evaluate the power metering error, and improve the accuracy and reliability of power metering; 3. The present invention collects harmonic data from the power grid and performs preprocessing to analyze and obtain the harmonic voltage error index, the harmonic current error index and the harmonic active power error index, and then analyzes and obtains the harmonic electric energy metering error evaluation index. By introducing artificial intelligence technology, accurate detection of power system harmonics and real-time error metering analysis are achieved, thereby improving the quality of electric energy and ensuring safe and stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0020] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention.

[0021] Figure 2 It is a schematic diagram of the structure of the acquisition unit of the harmonic data acquisition module of the present invention. DETAILED DESCRIPTION

[0022] 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.

[0023] See also Figure 1-2 As shown, the present invention provides a harmonic electric energy metering control system based on artificial intelligence, including a harmonic data acquisition module, a harmonic data preprocessing module, a harmonic electric energy data analysis module, a harmonic data error analysis module, a harmonic electric energy comprehensive analysis module, a metering error evaluation module, and a management early warning module.

[0024] The output end of the harmonic data acquisition module is connected to the input end of the harmonic data preprocessing module by telecommunication, the output end of the harmonic data preprocessing module is connected to the input end of the harmonic electric energy data analysis module by telecommunication, the output end of the harmonic electric energy data analysis module is connected to the input end of the harmonic data error analysis module by telecommunication, the output end of the harmonic data error analysis module is respectively connected to the input end of the harmonic electric energy comprehensive analysis module and the input end of the management and early warning module by telecommunication, the output end of the harmonic electric energy comprehensive analysis module is respectively connected to the input end of the metering error assessment module and the input end of the management and early warning module by telecommunication, and the output end of the metering error assessment module is connected to the input end of the management and early warning module by telecommunication.

[0025] The harmonic data acquisition module is used to collect comprehensive parameters of harmonic data from the power grid and transmit the collected comprehensive parameters to the harmonic data preprocessing module. The harmonic data acquisition module includes a harmonic voltage data acquisition unit, a harmonic current data acquisition unit and a harmonic active power data acquisition unit; In this embodiment, it should be specifically explained that the harmonic voltage data acquisition unit is used to acquire harmonic voltage parameters, and the harmonic voltage parameters include the effective value of the h-th harmonic voltage, the initial phase angle of the h-th harmonic voltage, the fundamental angular frequency and the effective value of the fundamental voltage; the harmonic current data acquisition unit is used to acquire harmonic current parameters, and the harmonic current parameters include the effective value of the h-th harmonic current, the initial phase angle of the h-th harmonic current, the fundamental angular frequency and the effective value of the fundamental current; the harmonic active power data acquisition unit is used to acquire harmonic active power parameters, and the harmonic active power parameters include the effective value of the h-th harmonic voltage, the initial phase angle of the h-th harmonic voltage, the effective value of the h-th harmonic current, the initial phase angle of the h-th harmonic current, the effective value of the fundamental voltage, the effective value of the fundamental current and the phase difference between the fundamental voltage and the fundamental current.

[0026] The harmonic data preprocessing module is used to preprocess the comprehensive parameters collected by the harmonic data collection module, and transmit the preprocessed data to the harmonic power data analysis module; In this embodiment, it should be specifically explained that the harmonic data preprocessing module preprocesses the collected data by performing noise reduction, outlier detection, and outlier processing on the data through existing filtering technology.

[0027] The harmonic power data analysis module is used to import the pre-processed harmonic data into the corresponding mathematical model to calculate the harmonic voltage error index, the harmonic current error index and the harmonic active power error index, and transmit the calculation results to the harmonic data error analysis module; In this embodiment, it should be specifically explained that the calculation steps of the harmonic voltage error index are as follows: Step S01: Calculate the distortion voltage. The calculation model is as follows: ,in, Expressed as the distorted voltage at time t, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the initial phase angle of the hth harmonic voltage, N is the highest harmonic number in the waveform, and h is the hth harmonic. It is expressed as the fundamental angular frequency, and t is expressed as the time variable; In this embodiment, it should be specifically explained that the voltage effective value, the voltage initial phase angle, and the fundamental angular frequency are important parameters in the power system, and they can be directly obtained through an oscilloscope or a multimeter measuring instrument.

[0028] In this embodiment, it should be specifically explained that if direct current and alternating current pass through two identical resistors respectively, and the heat generated by them during one cycle of the alternating current is equal, then the voltage value of the direct current is taken as the effective value of the alternating current voltage.

[0029] Step S02: Calculate the voltage total harmonic distortion rate, the calculation model is as follows: ,in, , Expressed as the hth harmonic voltage content rate, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the effective value of the fundamental voltage, N is the highest harmonic order intercepted by the voltage, N≤50; Step S03: Calculate the harmonic voltage error index, and the calculation model is as follows: ,in, Expressed as harmonic voltage error index, Expressed as the distorted voltage at time t, It is represented by the preset standard distortion voltage at time t, Expressed as the total harmonic voltage effective value, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the effective value of the fundamental voltage, N is the highest harmonic order of the voltage interception, N≤50, Expressed as voltage total harmonic distortion, Indicates the preset upper limit of voltage total harmonic distortion rate.

[0030] In this embodiment, it should be specifically noted that the upper limit of the voltage total harmonic distortion rate varies according to the voltage level of the power grid and the national standard. In my country, according to GB / T 14549-93 "Power Quality Public Power Grid Harmonics" and subsequent possible related updates or replacement standards, the upper limits of the total harmonic distortion rate of the voltage (phase voltage) of the public power grid at all levels are roughly as follows: the power grid voltage level is 0.38kv, and the upper limit of the voltage total harmonic distortion rate is 5.0%; the power grid voltage level is 6-10kv, and the upper limit of the voltage total harmonic distortion rate is 4.0%; the power grid voltage level is 35kv, and the upper limit of the voltage total harmonic distortion rate is 3.0%; the power grid voltage level is 110kv, and the upper limit of the voltage total harmonic distortion rate is 2.0%. The specific values ​​may vary due to standard updates or regional differences. In practical applications, the latest national standards or regional specifications should be referred to.

[0031] In this embodiment, it should be specifically explained that the harmonic voltage content directly reflects the content of harmonic voltage in the power system and is an important indicator for evaluating the degree of harmonic pollution in the system. High harmonic voltage content may lead to a decrease in system stability and affect the normal operation of power equipment. Therefore, by monitoring the harmonic voltage content, system stability problems can be discovered in a timely manner, and corresponding measures can be taken to adjust and improve them. Harmonic voltage can cause nonlinear saturation of the voltage transformer and change the frequency response characteristics of the voltage transformer. These factors will cause an error of about 10% in voltage measurement.

[0032] In this embodiment, it should be specifically explained that the calculation steps of the harmonic current error index are as follows: Step S01: Calculate the distorted current. The calculation model is as follows: ,in, Expressed as the distorted current at time t, It is expressed as the effective value of harmonic current of order h, It is expressed as the initial phase angle of the hth harmonic current, N is the highest harmonic order in the waveform, and h is the hth harmonic. It is expressed as the fundamental angular frequency, and t is expressed as the time variable; In this embodiment, it should be specifically explained that the effective value of the current, the initial phase angle of the current, and the fundamental angular frequency are important parameters in the power system, and they can be directly obtained through an oscilloscope or a multimeter measuring instrument.

[0033] In this embodiment, it should be specifically explained that the effective value of current refers to a direct current and an alternating current passing through resistors of the same resistance value. If the heat generated by the two currents passing through the resistors in the same time is the same, then the current value of the direct current is the effective value of the alternating current.

[0034] Step S02: Calculate the total harmonic distortion of the current. The calculation model is as follows: ,in, , Expressed as the hth harmonic current content rate, It is expressed as the effective value of harmonic current of order h, It is expressed as the effective value of the fundamental current, N is expressed as the highest harmonic order intercepted by the current, N≤50; Step S03: Calculate the harmonic current error index, and the calculation model is as follows: ,in, Expressed as harmonic current error index, Expressed as the distorted current at time t, Expressed as the preset standard distortion current at time t, Expressed as the total harmonic current effective value, It is expressed as the effective value of harmonic current of order h, It is expressed as the effective value of the fundamental current, N is the highest harmonic order intercepted by the current, N≤50, Expressed as the total harmonic distortion of current, Indicates the preset upper limit of the total harmonic distortion rate of current.

[0035] In this embodiment, it should be specifically explained that the harmonic current content directly reflects the content of harmonic current in the power system and is an important indicator for evaluating the degree of harmonic pollution in the system. High harmonic current content may lead to a decrease in system stability and affect the normal operation of power equipment. Therefore, by monitoring the harmonic current content, system stability problems can be discovered in a timely manner, and corresponding measures can be taken to adjust and improve them. Harmonic currents can cause nonlinear saturation of current transformers, thereby causing current measurement errors. In addition, harmonic currents can also change the frequency response characteristics of current transformers, thereby affecting the accuracy of current measurement.

[0036] In this embodiment, it should be specifically explained that the calculation steps of the harmonic active power error index are as follows: Step S01: Calculate the harmonic active power, the calculation model is as follows: ,in, It is expressed as harmonic active power, T is expressed as the period of AC voltage and AC current, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the initial phase angle of the hth harmonic voltage, It is expressed as the effective value of harmonic current of order h, It is expressed as the initial phase angle of the hth harmonic current, N is the highest harmonic order in the waveform, and h is the hth harmonic. is represented as the fundamental angular frequency, and t is represented as the time variable.

[0037] Step S02: Calculate the harmonic active power error index, and the calculation model is as follows: ,in, Expressed as harmonic active power error index, Expressed as harmonic active power, , Expressed as fundamental active power, Expressed as the effective value of the fundamental voltage, Expressed as the effective value of the fundamental current, Expressed as the phase difference between the fundamental voltage and the fundamental current.

[0038] In this embodiment, it should be specifically explained that the harmonic active power error index is calculated, which helps to evaluate the impact of harmonics in the power system on the accuracy of electric energy measurement. In addition, due to the phase difference between harmonics of different orders, the power meter will also have a phase error.

[0039] The harmonic data error analysis module is used to compare the data transmitted by the harmonic power data analysis module with the preset value to determine whether there is a metering error. If there is a metering error, the abnormal result is sent to the operation and maintenance management personnel; In this embodiment, it should be specifically explained that the specific manner in which the harmonic data error analysis module compares the data transmitted by the harmonic power data analysis module with the preset value is: Extracting harmonic voltage error indicators , if the harmonic voltage error index Greater than the harmonic voltage error indicator threshold , it is judged that there is a measurement error in the harmonic voltage, and the abnormal result is sent to the operation and maintenance management personnel; otherwise, it indicates that there is no measurement error in the harmonic voltage; Extracting harmonic current error indicators , if the harmonic current error index Greater than the harmonic current error indicator threshold , it is judged that there is a measurement error in the harmonic current, and the abnormal result is sent to the operation and maintenance management personnel; otherwise, it indicates that there is no measurement error in the harmonic current; Extracting harmonic active power error indicators , if the harmonic active power error index Greater than the harmonic active power error indicator threshold , it is judged that there is a measurement error in the harmonic active power, and the abnormal result is sent to the operation and maintenance management personnel. Otherwise, it indicates that there is no measurement error in the harmonic active power.

[0040] The harmonic electric energy comprehensive analysis module inputs the harmonic voltage error index, the harmonic current error index and the harmonic active power error index into the established mathematical model to calculate the harmonic electric energy metering error evaluation index, and transmits the calculation result to the metering error evaluation module; In this embodiment, it should be specifically explained that the harmonic electric energy metering error evaluation index calculation model is as follows: ,in, Expressed as harmonic energy metering error evaluation index, Expressed as harmonic voltage error index, Expressed as harmonic current error index, Expressed as harmonic active power error index, Other influencing factors expressed as error assessment index.

[0041] The metering error evaluation module is used to establish a harmonic electric energy metering error model and perform comparative analysis, and transmit the comparative analysis results to the management and early warning module; In this embodiment, it should be specifically explained that the harmonic electric energy measurement error model is: ,in, It represents the harmonic energy metering error evaluation index calculated for the measured value, It is expressed as the theoretically calculated harmonic electric energy metering error evaluation index. If η is greater than 1, it indicates that there is a metering error in the harmonic electric energy. Otherwise, it indicates that there is no metering error in the harmonic electric energy.

[0042] The management and early warning module is used to monitor the changes in harmonic electric energy in the power system in real time, and output or store the analysis results of electric energy metering error data, and provide an alarm mechanism to remind operation and maintenance personnel to take timely measures to deal with abnormal situations.

[0043] 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.

[0044] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A harmonic electric energy metering control system based on artificial intelligence, characterized in that: include: Harmonic data acquisition module: used to collect comprehensive parameters of harmonic data from the power grid and transmit the collected comprehensive parameters to the harmonic data preprocessing module. The harmonic data acquisition module includes a harmonic voltage data acquisition unit, a harmonic current data acquisition unit and a harmonic active power data acquisition unit; Harmonic data preprocessing module: used to preprocess the comprehensive parameters collected by the harmonic data acquisition module, and transmit the preprocessed data to the harmonic power data analysis module; Harmonic power data analysis module: used to import the pre-processed harmonic data into the corresponding mathematical model to calculate the harmonic voltage error index, harmonic current error index and harmonic active power error index, and transmit the calculation results to the harmonic data error analysis module; Harmonic data error analysis module: used to compare the data transmitted by the harmonic power data analysis module with the preset value to determine whether there is a metering error. If there is a metering error, the abnormal result will be sent to the operation and maintenance management personnel; Harmonic power comprehensive analysis module: input the harmonic voltage error index, harmonic current error index and harmonic active power error index into the established mathematical model to calculate the harmonic power metering error evaluation index, and transmit the calculation result to the metering error evaluation module; Metering error evaluation module: used to establish harmonic power metering error model and conduct comparative analysis, and transmit the comparative analysis results to the management and early warning module; Management and early warning module: used to monitor the changes in harmonic power in the power system in real time, and output or store the analysis results of power metering error data, and provide an alarm mechanism to remind operation and maintenance personnel to take timely measures to deal with abnormal situations.

2. The harmonic electric energy metering control system based on artificial intelligence according to claim 1 is characterized in that: The harmonic voltage data acquisition unit is used to acquire harmonic voltage parameters, and the harmonic voltage parameters include the effective value of the h-th harmonic voltage, the initial phase angle of the h-th harmonic voltage, the fundamental angular frequency and the effective value of the fundamental voltage; the harmonic current data acquisition unit is used to acquire harmonic current parameters, and the harmonic current parameters include the effective value of the h-th harmonic current, the initial phase angle of the h-th harmonic current, the fundamental angular frequency and the effective value of the fundamental current; the harmonic active power data acquisition unit is used to acquire harmonic active power parameters, and the harmonic active power parameters include the effective value of the h-th harmonic voltage, the initial phase angle of the h-th harmonic voltage, the effective value of the h-th harmonic current, the initial phase angle of the h-th harmonic current, the effective value of the fundamental voltage, the effective value of the fundamental current and the phase difference between the fundamental voltage and the fundamental current.

3. The harmonic electric energy metering control system based on artificial intelligence according to claim 1 is characterized in that: The harmonic data preprocessing module preprocesses the collected data by performing noise reduction, outlier detection, and outlier processing on the data through existing filtering technology.

4. The harmonic electric energy metering control system based on artificial intelligence according to claim 1 is characterized in that: The calculation steps of the harmonic voltage error index are as follows: Step S01: Calculate the distortion voltage. The calculation model is as follows: ,in, Expressed as the distorted voltage at time t, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the initial phase angle of the hth harmonic voltage, N is the highest harmonic number in the waveform, and h is the hth harmonic. It is expressed as the fundamental angular frequency, and t is expressed as the time variable; Step S02: Calculate the voltage total harmonic distortion rate, the calculation model is as follows: ,in, , Expressed as the hth harmonic voltage content rate, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the effective value of the fundamental voltage, N is the highest harmonic order intercepted by the voltage, N≤50; Step S03: Calculate the harmonic voltage error index, and the calculation model is as follows: ,in, Expressed as harmonic voltage error index, Expressed as the distorted voltage at time t, It is represented by the preset standard distortion voltage at time t, Expressed as the total harmonic voltage effective value, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the effective value of the fundamental voltage, N is the highest harmonic order of the voltage interception, N≤50, Expressed as voltage total harmonic distortion, Indicates the preset upper limit of voltage total harmonic distortion rate.

5. The harmonic electric energy metering control system based on artificial intelligence according to claim 1 is characterized in that: The calculation steps of the harmonic current error index are as follows: Step S01: Calculate the distorted current. The calculation model is as follows: ,in, Expressed as the distorted current at time t, It is expressed as the effective value of harmonic current of order h, It is expressed as the initial phase angle of the hth harmonic current, N is the highest harmonic order in the waveform, and h is the hth harmonic. It is expressed as the fundamental angular frequency, and t is expressed as the time variable; Step S02: Calculate the total harmonic distortion of the current. The calculation model is as follows: ,in, , Expressed as the hth harmonic current content rate, It is expressed as the effective value of harmonic current of order h, It is expressed as the effective value of the fundamental current, N is expressed as the highest harmonic order intercepted by the current, N≤50; Step S03: Calculate the harmonic current error index, and the calculation model is as follows: ,in, Expressed as harmonic current error index, Expressed as the distorted current at time t, Expressed as the preset standard distortion current at time t, Expressed as the total harmonic current effective value, It is expressed as the effective value of harmonic current of order h, It is expressed as the effective value of the fundamental current, N is the highest harmonic order intercepted by the current, N≤50, Expressed as the total harmonic distortion of current, Indicates the preset upper limit of the total harmonic distortion rate of current.

6. The harmonic electric energy metering control system based on artificial intelligence according to claim 1 is characterized in that: The calculation steps of the harmonic active power error index are as follows: Step S01: Calculate the harmonic active power, the calculation model is as follows: ,in, It is expressed as harmonic active power, T is expressed as the period of AC voltage and AC current, It is expressed as the effective value of the harmonic voltage of order h, It is expressed as the initial phase angle of the hth harmonic voltage, It is expressed as the effective value of harmonic current of order h, It is expressed as the initial phase angle of the hth harmonic current, N is the highest harmonic order in the waveform, and h is the hth harmonic. It is expressed as the fundamental angular frequency, and t is expressed as the time variable; Step S02: Calculate the harmonic active power error index, and the calculation model is as follows: ,in, Expressed as harmonic active power error index, Expressed as harmonic active power, , Expressed as fundamental active power, Expressed as the effective value of the fundamental voltage, Expressed as the effective value of the fundamental current, Expressed as the phase difference between the fundamental voltage and the fundamental current.

7. The harmonic electric energy metering and control system based on artificial intelligence according to claim 1 is characterized in that: The specific method in which the harmonic data error analysis module compares the data transmitted by the harmonic power data analysis module with the preset value is: Extracting harmonic voltage error indicators , if the harmonic voltage error index Greater than the harmonic voltage error indicator threshold , it is judged that there is a measurement error in the harmonic voltage, and the abnormal result is sent to the operation and maintenance management personnel; otherwise, it indicates that there is no measurement error in the harmonic voltage; Extracting harmonic current error indicators , if the harmonic current error index Greater than the harmonic current error indicator threshold , it is judged that there is a measurement error in the harmonic current, and the abnormal result is sent to the operation and maintenance management personnel; otherwise, it indicates that there is no measurement error in the harmonic current; Extracting harmonic active power error indicators , if the harmonic active power error index Greater than the harmonic active power error indicator threshold , it is judged that there is a measurement error in the harmonic active power, and the abnormal result is sent to the operation and maintenance management personnel. Otherwise, it indicates that there is no measurement error in the harmonic active power.

8. The harmonic electric energy metering and control system based on artificial intelligence according to claim 1 is characterized in that: The harmonic electric energy metering error evaluation index calculation model is as follows: ,in, Expressed as harmonic energy metering error assessment index, Expressed as harmonic voltage error index, Expressed as harmonic current error index, Expressed as harmonic active power error index, Other influencing factors expressed as error assessment index.

9. The harmonic electric energy metering and control system based on artificial intelligence according to claim 1 is characterized in that: The harmonic electric energy measurement error model is: ,in, It represents the harmonic energy metering error evaluation index calculated for the measured value, It is expressed as the theoretically calculated harmonic electric energy metering error evaluation index. If η is greater than 1, it indicates that there is a metering error in the harmonic electric energy. Otherwise, it indicates that there is no metering error in the harmonic electric energy.

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