A current calibration and measurement method and related apparatus for a current transformer.

Abstract

The present invention discloses a current calibration measurement method and related device of a current transformer, and relates to the technical field of data processing. The method comprises: preprocessing operation and maintenance information, power data and temperature time series data; performing harmonic analysis based on the power data to obtain target harmonic analysis data; performing temperature influence change analysis based on the target harmonic analysis data using the temperature time series data to generate calibration parameters; performing magnetic field interference analysis based on the operation and maintenance information to build an error analysis model in combination with the power data, and generating a first error compensation value based on the error analysis model and the temperature influence change data; determining loss data based on the operation and maintenance information to determine a second error compensation value, and generating a target error compensation value based on the first and second error compensation values; and controlling the current transformer to perform current calibration measurement based on the calibration parameters and the target error compensation value. The present invention improves the measurement accuracy of the current transformer and makes the obtained current measurement result more reliable.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of data processing, and in particular to a current calibration measurement method of a current transformer and a related device. Background Art

[0002] Current transformers are indispensable equipment in power systems. They are used to measure current and convert it into corresponding signals to monitor and protect power systems. Therefore, the accuracy of their current measurement is an important guarantee for the normal and reliable operation of power systems. At present, in the current measurement of current transformers, the temperature of the current transformer affects the accuracy of its measurement. Therefore, the current transformer is usually calibrated according to the temperature change data, but the influence of harmonics on temperature change is ignored. The presence of harmonics will cause the heating of the current transformer to increase. If the influence of harmonics on temperature change is ignored, the calibration parameters obtained will be inaccurate, affecting the accuracy of current transformer current measurement. At the same time, the interference of the magnetic field will also cause errors in the current measurement of the current transformer. At present, the error compensation analysis of the current transformer caused by the magnetic field interference is usually achieved through data analysis by relevant personnel, but this method is too dependent on the professional quality of the relevant personnel, and cannot ensure the accuracy of the magnetic field interference analysis and error compensation analysis, resulting in the inability to effectively improve the accuracy of the current measurement of the current transformer. Since the operation of the current transformer will cause losses to itself, the loss data needs to be included in the error compensation considerations. If the loss data of the current transformer is not taken into consideration, the error compensation analysis will be incomplete, and the final current measurement result will still have a large deviation from the actual situation. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a current calibration measurement method and related devices for a current transformer, which improves the current measurement accuracy of the current transformer and makes the obtained current measurement result more reliable.

[0004] In order to solve the above technical problems, the present invention provides a current calibration measurement method for a current transformer, the method comprising:

[0005] Acquire operation and maintenance information, power data, and temperature time series data of the current transformer, and preprocess the operation and maintenance information, power data, and temperature time series data to obtain preprocessed operation and maintenance information, power data, and temperature time series data;

[0006] Perform harmonic analysis based on preprocessed power data to obtain target harmonic analysis data;

[0007] Based on the target harmonic analysis data, using the preprocessed temperature time series data to perform temperature influence change analysis to obtain temperature influence change data, and generating calibration parameters of the current transformer based on the temperature influence change data;

[0008] Performing magnetic field interference analysis based on the preprocessed operation and maintenance information to obtain magnetic field interference analysis data, constructing an error analysis model for the current transformer based on the magnetic field interference analysis data and the preprocessed power data, performing error compensation analysis of the current period based on the error analysis model to obtain error compensation analysis data, and generating a first error compensation value based on the error compensation analysis data and temperature influence change data;

[0009] Determine loss data of the current transformer using dielectric loss analysis based on the preprocessed operation and maintenance information, determine a second error compensation value based on the loss data, and generate a target error compensation value based on the first error compensation value and the second error compensation value;

[0010] Based on the calibration parameter and the target error compensation value, the current transformer is controlled to perform current calibration measurement processing to obtain a current calibration measurement result.

[0011] Optionally, preprocessing the operation and maintenance information, power data, and temperature time series data to obtain preprocessed operation and maintenance information, power data, and temperature time series data includes:

[0012] Performing data cleaning on the operation and maintenance information, power data, and temperature time series data to obtain the operation and maintenance information, power data, and temperature time series data after data cleaning;

[0013] The operation and maintenance information, power data and temperature time series data after data cleaning are integrated to obtain the pre-processed operation and maintenance information, power data and temperature time series data.

[0014] Optionally, performing harmonic analysis based on the preprocessed power data to obtain target harmonic analysis data includes:

[0015] Extracting primary current waveform data and secondary current waveform data based on the preprocessed power data;

[0016] Calculating a target spectrum using a frequency domain analysis window based on the primary current waveform data, and calculating harmonic data of the target spectrum;

[0017] Performing harmonic current frequency analysis based on the harmonic data to obtain harmonic current frequency analysis data, and generating first harmonic analysis data based on the harmonic data and the harmonic current frequency analysis data;

[0018] Acquiring characteristic data of the secondary current waveform data, calculating a harmonic ratio and a waveform area ratio based on the characteristic data, and determining saturation data of the current transformer based on the harmonic ratio and the waveform area ratio;

[0019] calculating a waveform distortion rate based on the secondary current waveform data, and generating second harmonic analysis data based on the waveform distortion rate and saturation data;

[0020] Target harmonic analysis data is generated based on the first harmonic analysis data and the second harmonic analysis data.

[0021] Optionally, performing temperature influence change analysis based on the target harmonic analysis data using preprocessed temperature time series data to obtain temperature influence change data, and generating calibration parameters of the current transformer based on the temperature influence change data includes:

[0022] Calculating a temperature peak value and a temperature average value based on the preprocessed temperature time series data, and calculating a temperature stability rate based on the temperature peak value and the temperature average value;

[0023] generating a current state coefficient based on the target harmonic analysis data, and constructing an operation state model based on the current state coefficient;

[0024] Based on the operating state model, the temperature stability rate is used to perform temperature influence change analysis to obtain temperature influence change data;

[0025] Based on the temperature influence change data, the influence current change ratio, the level matching resistance and the influence current phase difference are matched in the temperature coefficient table to obtain the standard current change ratio, the standard level matching resistance and the standard current phase difference;

[0026] The current correction value and the phase difference correction value are calculated based on the influencing current change ratio, the level matching resistance, the influencing current phase difference, the standard current change ratio, the standard level matching resistance and the standard current phase difference, and the calibration parameters of the current transformer are determined based on the current correction value and the phase difference correction value.

[0027] Optionally, the performing of magnetic field interference analysis based on the preprocessed operation and maintenance information to obtain magnetic field interference analysis data, constructing an error analysis model of the current transformer based on the magnetic field interference analysis data and the preprocessed power data, and performing error compensation analysis of the current period based on the error analysis model to obtain error compensation analysis data, includes:

[0028] Extracting operation and maintenance magnetic field data and operation and maintenance structure data of the current transformer based on the preprocessed operation and maintenance information, and constructing a finite element simulation model of the current transformer based on the operation and maintenance structure data;

[0029] Based on the finite element simulation model, the operation and maintenance magnetic field data is used in combination with a functional relationship to perform a magnetic field interference analysis to obtain magnetic field interference analysis data;

[0030] Acquire historical error compensation influencing parameters of the current transformer, perform factor screening based on the historical error compensation influencing parameters to obtain error compensation influencing factors, and construct an error influence model based on the error compensation influencing factors combined with an error simulation model generated by preprocessed power data;

[0031] Building a magnetic field analysis model using magnetic field interference analysis data based on a nonlinear parameterized function, and building an error analysis model of a current transformer based on the error influence model and the magnetic field analysis model;

[0032] Based on the error analysis model, the error compensation analysis of the current period is performed using the current data of the stable current period to obtain error compensation analysis data.

[0033] Optionally, determining loss data of the current transformer by dielectric loss analysis based on the preprocessed operation and maintenance information, and determining the second error compensation value based on the loss data, includes:

[0034] Acquire dielectric loss data based on the preprocessed operation and maintenance information, and determine a loss factor based on the dielectric loss data;

[0035] Based on the loss factor, a medium aging reaction rate equation is used to perform curve fitting to obtain a medium aging reaction correlation coefficient;

[0036] Perform dielectric loss analysis based on the dielectric aging reaction correlation coefficient to obtain dielectric loss analysis data;

[0037] Extracting operation and maintenance frequency data and operation and maintenance type data of the current transformer based on the preprocessed operation and maintenance information, and determining loss data of the current transformer based on the operation and maintenance frequency data, the operation and maintenance type data and the dielectric loss analysis data;

[0038] A second error compensation value is matched in an error compensation database based on the loss data.

[0039] Optionally, controlling the current transformer to perform current calibration measurement processing based on the calibration parameter and the target error compensation value to obtain the current calibration measurement result includes:

[0040] The current transformer is calibrated based on the calibration parameters to obtain the calibrated current transformer, and the calibrated current transformer is subjected to current calibration measurement based on the target error compensation value to obtain a current calibration measurement result.

[0041] In addition, the present invention also provides a current calibration measurement device for a current transformer, the device comprising:

[0042] Data preprocessing module: used to obtain operation and maintenance information, power data and temperature time series data of the current transformer, and preprocess the operation and maintenance information, power data and temperature time series data to obtain the preprocessed operation and maintenance information, power data and temperature time series data;

[0043] Harmonic analysis module: used to perform harmonic analysis based on pre-processed power data to obtain target harmonic analysis data;

[0044] A calibration parameter generation module: used to perform temperature influence change analysis based on the target harmonic analysis data using the preprocessed temperature time series data, obtain temperature influence change data, and generate calibration parameters of the current transformer based on the temperature influence change data;

[0045] A first error compensation value generating module: used to perform magnetic field interference analysis based on the preprocessed operation and maintenance information to obtain magnetic field interference analysis data, build an error analysis model of the current transformer based on the magnetic field interference analysis data and the preprocessed power data, perform error compensation analysis of the current period based on the error analysis model to obtain error compensation analysis data, and generate a first error compensation value based on the error compensation analysis data and temperature influence change data;

[0046] A target error compensation value generating module: used to determine the loss data of the current transformer by dielectric loss analysis based on the preprocessed operation and maintenance information, determine the second error compensation value based on the loss data, and generate a target error compensation value based on the first error compensation value and the second error compensation value;

[0047] Current calibration measurement module: used to control the current transformer to perform current calibration measurement processing based on the calibration parameters and the target error compensation value to obtain the current calibration measurement result.

[0048] In addition, the present invention also provides an electronic device, which includes a processor and a memory, wherein the memory is used to store instructions, and the processor is used to call the instructions in the memory so that the electronic device executes the above-mentioned current calibration measurement method for the current transformer.

[0049] In addition, the present invention also provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the above-mentioned current calibration measurement method for a current transformer.

[0050] In an embodiment of the present invention, the target harmonic analysis data is formed by first harmonic analysis data generated by harmonic data and harmonic current frequency analysis data and second harmonic analysis data generated by waveform distortion rate and saturation data, so that the obtained harmonic analysis data is more comprehensive and accurate. Based on the target harmonic analysis data, the temperature influence change analysis is performed using the preprocessed temperature time series data to generate the calibration parameters of the current transformer. Considering the influence of the harmonic data on the temperature change, the obtained calibration parameters are more accurate, ensuring the calibration accuracy of the current transformer. Based on the magnetic field interference analysis data and the preprocessed power data, the error analysis model of the current transformer is constructed to perform error compensation analysis of the current period. The first error compensation value is generated according to the error compensation analysis data and the temperature influence change data, which can effectively improve the accuracy of the error compensation analysis and better measure the error influence caused by the magnetic field interference on the current measurement of the current transformer. Based on the preprocessed operation and maintenance information, the loss data of the current transformer is determined by using the dielectric loss analysis to obtain the second error compensation value, which can more comprehensively analyze the loss data of the current transformer, make the target error compensation value finally obtained more reliable, and can better compensate the current measurement result of the current transformer. Based on the calibration parameters and the target error compensation value, the current transformer is controlled to perform current calibration measurement processing, which improves the current measurement accuracy of the current transformer and makes the obtained current measurement result more reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 is a flow chart of a current calibration measurement method for a current transformer in an embodiment of the present invention;

[0053] Figure 2 is a flow chart of a current calibration measurement method for a current transformer in another embodiment of the present invention;

[0054] Figure 3 Schematic diagram of the structure of the current calibration and measurement device of the current transformer in the embodiment of the present invention;

[0055] Figure 4 It is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] 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.

[0057] Embodiment 1

[0058] See also Figure 1 , Figure 1 : is a flow chart of a current calibration measurement method for a current transformer in an embodiment of the present invention, the method comprising:

[0059] S11: acquiring operation and maintenance information, power data, and temperature time series data of the current transformer, and preprocessing the operation and maintenance information, power data, and temperature time series data to obtain preprocessed operation and maintenance information, power data, and temperature time series data;

[0060] In the specific implementation process of the present invention, the operation and maintenance information, power data and temperature time series data are preprocessed to obtain the preprocessed operation and maintenance information, power data and temperature time series data, including: performing data cleaning processing on the operation and maintenance information, power data and temperature time series data to obtain the operation and maintenance information, power data and temperature time series data after data cleaning processing; performing data integration processing on the operation and maintenance information, power data and temperature time series data after data cleaning processing to obtain the preprocessed operation and maintenance information, power data and temperature time series data.

[0061] Specifically, the operation and maintenance information, power data and temperature time series data of the current transformer are obtained. The operation and maintenance information includes the operation and maintenance environment information, operation and maintenance magnetic field information, operation and maintenance times and operation and maintenance types, etc. The power data includes the primary side current data and the secondary side current data of the current transformer, etc. The temperature time series data includes the temperature change data in each time period and the current temperature at each time point, etc. The operation and maintenance information, power data and temperature time series data are cleaned to remove abnormal data in the data, and to clean the spaces and garbled characters in the data, so as to obtain the operation and maintenance information, power data and temperature time series data after data cleaning. The operation and maintenance information, power data and temperature time series data after data cleaning are integrated and converted into a unified data structure, and the data is verified to verify the integrity and consistency of the data, thereby completing the preprocessing of the data and obtaining the preprocessed operation and maintenance information, power data and temperature time series data.

[0062] S12: Performing harmonic analysis based on the preprocessed power data to obtain target harmonic analysis data;

[0063] In the specific implementation process of the present invention, the harmonic analysis is performed based on the preprocessed power data to obtain the target harmonic analysis data, including: extracting primary current waveform data and secondary current waveform data based on the preprocessed power data; calculating the target spectrum using the frequency domain analysis window based on the primary current waveform data, and calculating the harmonic data of the target spectrum; performing harmonic current frequency analysis based on the harmonic data to obtain harmonic current frequency analysis data, and generating first harmonic analysis data based on the harmonic data and the harmonic current frequency analysis data; acquiring characteristic data of the secondary current waveform data, calculating the harmonic ratio and the waveform area ratio based on the characteristic data, and determining the saturation data of the current transformer based on the harmonic ratio and the waveform area ratio; calculating the waveform distortion rate based on the secondary current waveform data, and generating second harmonic analysis data based on the waveform distortion rate and the saturation data; generating target harmonic analysis data based on the first harmonic analysis data and the second harmonic analysis data.

[0064] Specifically, primary current waveform data and secondary current waveform data are extracted based on the preprocessed power data, the primary current waveform data is the current waveform data on the primary side, and the secondary current waveform data is the current waveform data on the secondary side. Based on the primary current waveform data, the target spectrum is calculated using the frequency domain analysis window, a stable frequency reference point and a frequency domain range are set, and the frequency domain analysis window is determined according to the set stable frequency reference point and frequency domain range. The primary current waveform data is subjected to a fast Fourier transform according to the frequency domain analysis window to obtain the spectrum of the current signal, which is the target spectrum, and the harmonic data of the target spectrum is calculated, that is, the frequency, amplitude and phase of the harmonics in the target spectrum are calculated. Perform harmonic current frequency analysis based on the harmonic data, perform time delay embedding of harmonic time series based on the harmonic data, obtain phase space trajectory, perform harmonic time-frequency trajectory and energy time-frequency analysis based on the phase space trajectory, obtain time-frequency trajectory data and energy time-frequency data, perform frequency separation of harmonic current based on the time-frequency trajectory data and energy time-frequency data, obtain harmonic current frequency analysis data, the harmonic current frequency analysis data includes harmonic current frequency and harmonic current frequency duration, and generate first harmonic analysis data based on the harmonic data and harmonic current frequency analysis data. Obtain feature data of the secondary current waveform data, perform Fourier transform on the secondary current waveform data, and obtain corresponding frequency domain data, i.e., feature data. Calculate harmonic ratio and waveform area ratio based on the feature data, calculate fundamental wave amplitude and harmonic wave amplitude based on the feature data, calculate harmonic ratio based on fundamental wave amplitude and harmonic wave amplitude, and since the secondary current waveform data contains the symmetry characteristics of a sine wave, perform area integration based on its feature data to obtain the waveform area ratio. Since harmonics can cause the magnetic flux saturation of the current transformer, making it impossible for the current transformer to accurately measure the current and also aggravating the heating of the transformer, it is necessary to determine the saturation data of the current transformer. The saturation data of the current transformer is determined based on the harmonic ratio and the waveform area ratio. The difference between the harmonic ratio and the waveform area ratio and the preset threshold is calculated, and the corresponding saturation degree is matched according to the difference, which is the saturation data. The waveform distortion rate is calculated based on the secondary current waveform data, and the secondary current waveform data is discrete Fourier transformed to obtain the fundamental effective value and the harmonic effective value. The waveform distortion rate is calculated based on the fundamental effective value and the harmonic effective value, and the second harmonic analysis data is generated based on the waveform distortion rate and the saturation data. The target harmonic analysis data is formed based on the first harmonic analysis data and the second harmonic analysis data, so that the obtained harmonic analysis data is more comprehensive and accurate.

[0065] S13: performing temperature influence change analysis based on the target harmonic analysis data using the preprocessed temperature time series data to obtain temperature influence change data, and generating calibration parameters of the current transformer based on the temperature influence change data;

[0066] In the specific implementation process of the present invention, the temperature influence change analysis is performed based on the target harmonic analysis data using the preprocessed temperature time series data to obtain the temperature influence change data, and the calibration parameters of the current transformer are generated based on the temperature influence change data, including: calculating the temperature peak value and the temperature average value based on the preprocessed temperature time series data, and calculating the temperature stability rate based on the temperature peak value and the temperature average value; generating a current state coefficient based on the target harmonic analysis data, and constructing an operating state model based on the current state coefficient; performing a temperature influence change analysis based on the operating state model using the temperature stability rate to obtain the temperature influence change data; matching the influencing current change ratio, level matching resistance and influencing current phase difference in the temperature coefficient table based on the temperature influence change data to obtain the standard current change ratio, standard level matching resistance and standard current phase difference; calculating the current correction value and the phase difference correction value based on the influencing current change ratio, level matching resistance, influencing current phase difference, standard current change ratio, standard level matching resistance and standard current phase difference, and determining the calibration parameters of the current transformer based on the current correction value and the phase difference correction value.

[0067] Specifically, the temperature peak value and the temperature average value are calculated based on the preprocessed temperature time series data, and the temperature stability rate is calculated based on the temperature peak value and the temperature average value, the variance of the temperature time series data is calculated by the temperature average value, and the temperature stability rate is calculated according to the variance and the temperature peak value. The current state coefficient is generated based on the target harmonic analysis data, the fundamental phase difference, the total harmonic distortion rate and the harmonic content are calculated according to the target harmonic analysis data, the current state coefficient is calculated according to the fundamental phase difference, the total harmonic distortion rate and the harmonic content, and the operation state model is constructed based on the current state coefficient, and the operation state coefficient is obtained by mathematical analysis through the current state coefficient, and the operation state model is constructed according to the operation state coefficient using a preset neural network. Based on the operation state model, the temperature influence change analysis is performed using the temperature stability rate, the temperature state coefficient is calculated according to the temperature stability rate and the temperature peak value, and the temperature influence of the harmonic current on the current transformer is analyzed using the operation state model according to the temperature state coefficient, that is, the temperature change of the harmonic current on the current transformer is analyzed, and the temperature influence change data is obtained, so that the influence of the harmonic current on the internal coil heating of the current transformer can be considered. Based on the temperature-affected change data, the current change ratio, level matching resistance and current phase difference are matched in the temperature coefficient table, that is, the current change ratio, level matching resistance and current phase difference corresponding to the temperature change are matched in the temperature coefficient table according to the temperature-affected change data, and the standard current change ratio, standard level matching resistance and standard current phase difference are obtained in the standard temperature coefficient table. Based on the current change ratio, level matching resistance, current phase difference, standard current change ratio, standard level matching resistance and standard current phase difference, the current correction value and the phase difference correction value are calculated, and the calculation can be performed according to the preset current correction value calculation formula and the phase difference correction value calculation formula. The calculated phase difference correction value can match the measurement data of the current transformer with the standard value, reduce the influence of the phase difference on the measurement data, and determine the calibration parameters of the current transformer based on the current correction value and the phase difference correction value, and match them in the calibration parameter library.

[0068] S14: performing magnetic field interference analysis based on the preprocessed operation and maintenance information to obtain magnetic field interference analysis data, constructing an error analysis model of the current transformer based on the magnetic field interference analysis data and the preprocessed power data, performing error compensation analysis of the current period based on the error analysis model to obtain error compensation analysis data, and generating a first error compensation value based on the error compensation analysis data and the temperature influence change data;

[0069] In the specific implementation process of the present invention, the magnetic field interference analysis is performed based on the preprocessed operation and maintenance information to obtain magnetic field interference analysis data, the error analysis model of the current transformer is constructed based on the magnetic field interference analysis data and the preprocessed power data, and the error compensation analysis of the current time period is performed based on the error analysis model to obtain error compensation analysis data, including: extracting the operation and maintenance magnetic field data and the operation and maintenance structure data of the current transformer based on the preprocessed operation and maintenance information, and constructing a finite element simulation model of the current transformer based on the operation and maintenance structure data; performing magnetic field interference analysis based on the finite element simulation model using the operation and maintenance magnetic field data in combination with a functional relationship to obtain magnetic field interference analysis data; obtaining historical error compensation influencing parameters of the current transformer, performing factor screening based on the historical error compensation influencing parameters to obtain error compensation influencing factors, and constructing an error influence model based on the error compensation influencing factors combined with the error simulation model generated by the preprocessed power data; constructing a magnetic field analysis model based on a nonlinear parameterized function using the magnetic field interference analysis data, and constructing an error analysis model of the current transformer based on the error influence model and the magnetic field analysis model; performing error compensation analysis of the current time period using the current data of the stable current period based on the error analysis model to obtain error compensation analysis data.

[0070] Specifically, based on the pre-processed operation and maintenance information, operation and maintenance magnetic field data and operation and maintenance structure data of the current transformer are extracted, and a finite element simulation model of the current transformer is constructed based on the operation and maintenance structure data. The initial three-dimensional model of the current transformer is constructed through the operation and maintenance structure data, and the initial three-dimensional model is subjected to surface smoothing, and the target surface to be smoothed is selected, and the edge vertices and edge edge sets in the target surface are identified, and several adjacent edges on the edge edge set are obtained. Normal vectors are generated through several adjacent edges and edge vertices, and smoothing is performed according to the normal vectors to generate a target three-dimensional model, and the target three-dimensional model is meshed to obtain mesh density data, and finite element modeling is performed according to the mesh density data to obtain a finite element simulation model. Based on the finite element simulation model, the operation and maintenance magnetic field data is used in combination with the functional relationship to perform magnetic field interference analysis, and a standard finite element simulation model without external electromagnetic interference is obtained. The transformer data output relationship between the finite element simulation model and the standard finite element simulation model is obtained, and magnetic field shielding data is obtained according to the transformer data output relationship. Magnetic field interference analysis is performed according to the magnetic field shielding data and the operation and maintenance magnetic field data, and magnetic field interference analysis data is obtained, thereby improving the reliability of magnetic field interference analysis. Obtain the historical error compensation influencing parameters of the current transformer, the historical error compensation influencing parameters include load, magnetic field parameters, ratio difference compensation variables, angle difference compensation and vibration parameters, etc., perform factor screening based on the historical error compensation influencing parameters, normalize the historical error compensation influencing parameters, obtain the normalized historical error compensation influencing parameters, calculate the Pearson correlation coefficient of the normalized historical error compensation influencing parameters, calculate the factor screening coefficient of the historical error compensation influencing parameters using the Pearson correlation coefficient according to the elastic network, and use the historical error compensation influencing parameters whose factor screening coefficient reaches the preset coefficient threshold as the error compensation influencing factor, that is, obtain the error compensation influencing factor. Construct an error influence model based on the error compensation influencing factor combined with the error simulation model generated by the preprocessed power data, input the preprocessed power data into the error simulation simulation software, generate an error simulation model, and generate an error influence model based on the error simulation model and the error compensation influencing factor using cross validation. Construct a magnetic field analysis model based on the nonlinear parameterized function using the magnetic field interference analysis data, and construct a magnetic field analysis model by combining the nonlinear parameterized function and the magnetic field interference analysis model with the parameters to be solved and the parameter vector. And based on the error influence model and the magnetic field analysis model, an error analysis model of the current transformer is constructed, and the error influence model and the magnetic field analysis model are combined to obtain the error analysis model.Based on the error analysis model, the current data of the stable current period is used to perform error compensation analysis of the current period. The current period is the magnetic field interference current period, and the stable current period is the current of the stable period. The use of the stable current period can effectively avoid the influence of current fluctuations on the error compensation analysis. The current of the stable period and the current of the magnetic field interference period in the pre-processed power data are input into the error analysis model to obtain the error relationship function. According to the error relationship function, the error value of the current transformer in the magnetic field interference current period is obtained, that is, the error compensation analysis data is obtained. Based on the error compensation analysis data and the temperature influence change data, a first error compensation value is generated. According to the error compensation analysis data and the temperature influence change data, the corresponding error compensation value is matched in the database as the first error compensation value, so that the obtained first error compensation value can reflect the measurement error of the current transformer caused by the magnetic field interference and the measurement error of the transformer caused by the temperature change, so that the obtained error compensation value is more accurate.

[0071] S15: determining loss data of the current transformer by dielectric loss analysis based on the preprocessed operation and maintenance information, determining a second error compensation value based on the loss data, and generating a target error compensation value based on the first error compensation value and the second error compensation value;

[0072] In the specific implementation process of the present invention, the loss data of the current transformer is determined by dielectric loss analysis based on the preprocessed operation and maintenance information, and the second error compensation value is determined based on the loss data, including: obtaining dielectric loss data based on the preprocessed operation and maintenance information, and determining the loss factor based on the dielectric loss data; performing curve fitting based on the loss factor using the dielectric aging reaction rate equation to obtain the dielectric aging reaction correlation coefficient; performing dielectric loss analysis based on the dielectric aging reaction correlation coefficient to obtain dielectric loss analysis data; extracting the operation and maintenance frequency data and operation and maintenance type data of the current transformer based on the preprocessed operation and maintenance information, and determining the loss data of the current transformer based on the operation and maintenance frequency data, the operation and maintenance type data and the dielectric loss analysis data; matching the second error compensation value in the error compensation database based on the loss data.

[0073] Specifically, dielectric loss data is obtained based on the pre-processed operation and maintenance information, and the dielectric loss data is polarization and aging data of the internal insulating material of the current transformer, etc., and the loss factor is determined based on the dielectric loss data, and the dielectric loss data is input into the simulation software. In the simulation software, the dielectric loss current data of the alternating current is analyzed according to the dielectric loss data to obtain the dielectric loss current data, that is, the current change under the dielectric loss data, and the frequency key points are analyzed according to the dielectric loss current data to obtain several frequency key points, which are frequency points showing significant peaks, and the dielectric loss amplitude is calculated according to the frequency key points. The loss factor is determined by the calculated dielectric loss amplitude, which is the loss factor. Based on the loss factor, the dielectric aging reaction rate equation is used for curve fitting, and the dielectric aging analysis and aging time aggregation analysis are performed according to the temperature effect change data of the loss factor to obtain the dielectric aging analysis data and aging time aggregation data. The dielectric aging change curve is generated according to the dielectric aging analysis data and aging time aggregation data, and the dielectric aging reaction correlation coefficient is obtained according to the dielectric aging change curve using the dielectric aging reaction rate equation, which includes the reaction rate and the reaction fitting coefficient. Based on the dielectric aging reaction correlation coefficient, dielectric loss analysis is performed, dielectric loss angle is calculated according to the dielectric aging reaction correlation coefficient, equivalent dielectric constant is calculated according to the dielectric loss angle, and the difference between the equivalent dielectric constant and the preset dielectric constant threshold is calculated. The dielectric loss of the current transformer is evaluated by the difference, and different differences correspond to different loss data, that is, dielectric loss analysis data is obtained, which can better reflect the dielectric loss of the current transformer during operation. Based on the pre-processed operation and maintenance information, the operation and maintenance frequency data and operation and maintenance type data of the current transformer are extracted, and the loss data of the current transformer is determined based on the operation and maintenance frequency data, the operation and maintenance type data and the dielectric loss analysis data. Based on the loss data, the second error compensation value is matched in the error compensation database, so that the loss data of the current transformer can be analyzed more comprehensively, and the error influence caused by the loss of the current transformer on the current measurement can be better analyzed. Based on the first error compensation value and the second error compensation value, a target error compensation value is generated, and the target error compensation value is calculated according to the first error compensation value and the second error compensation value and their corresponding weight coefficients, so that the target error compensation value finally obtained is more reliable and can better compensate for the current measurement result of the current transformer.

[0074] S16: Based on the calibration parameters and the target error compensation value, the current transformer is controlled to perform current calibration measurement processing to obtain a current calibration measurement result.

[0075] In the specific implementation process of the present invention, the current transformer is controlled to perform current calibration measurement processing based on the calibration parameters and the target error compensation value to obtain the current calibration measurement result, including: calibrating the current transformer based on the calibration parameters to obtain the calibrated current transformer, and performing current calibration measurement processing on the calibrated current transformer based on the target error compensation value to obtain the current calibration measurement result.

[0076] Specifically, the current transformer is calibrated based on the calibration parameters to obtain the calibrated current transformer, which reduces the influence of temperature difference on the measurement accuracy and makes the calibration of the current transformer more reliable. The calibrated current transformer performs current calibration measurement based on the target error compensation value to obtain the current calibration measurement result, so that the obtained current measurement result is closer to the actual situation, greatly improving the current measurement accuracy of the current transformer.

[0077] The current calibration measurement method of the current transformer in the embodiment of the present invention is used for current calibration measurement under complex environmental conditions in the power transmission and distribution system. The voltage level of the application scenario is 1000 volts and below, and the current level is in the range of 25-200 amperes. The complex environmental conditions include ambient temperature changes and space magnetic field interference.

[0078] In an embodiment of the present invention, the target harmonic analysis data is formed by first harmonic analysis data generated by harmonic data and harmonic current frequency analysis data and second harmonic analysis data generated by waveform distortion rate and saturation data, so that the obtained harmonic analysis data is more comprehensive and accurate. Based on the target harmonic analysis data, the temperature influence change analysis is performed using the preprocessed temperature time series data to generate the calibration parameters of the current transformer. Considering the influence of the harmonic data on the temperature change, the obtained calibration parameters are more accurate, ensuring the calibration accuracy of the current transformer. Based on the magnetic field interference analysis data and the preprocessed power data, the error analysis model of the current transformer is constructed to perform error compensation analysis of the current period. The first error compensation value is generated according to the error compensation analysis data and the temperature influence change data, which can effectively improve the accuracy of the error compensation analysis and better measure the error influence caused by the magnetic field interference on the current measurement of the current transformer. Based on the preprocessed operation and maintenance information, the loss data of the current transformer is determined by using the dielectric loss analysis to obtain the second error compensation value, which can more comprehensively analyze the loss data of the current transformer, make the target error compensation value finally obtained more reliable, and can better compensate the current measurement result of the current transformer. Based on the calibration parameters and the target error compensation value, the current transformer is controlled to perform current calibration measurement processing, which improves the current measurement accuracy of the current transformer and makes the obtained current measurement result more reliable.

[0079] Embodiment 2

[0080] See also Figure 2 , Figure 2 is a flow chart of a current calibration measurement method for a current transformer in another embodiment of the present invention, the method comprising:

[0081] S201: Acquire operation and maintenance information, power data, and temperature time series data of the current transformer, and preprocess the operation and maintenance information, power data, and temperature time series data to obtain preprocessed operation and maintenance information, power data, and temperature time series data;

[0082] S202: Performing harmonic analysis based on the preprocessed power data to obtain target harmonic analysis data;

[0083] S203: performing temperature influence change analysis based on the target harmonic analysis data using the preprocessed temperature time series data to obtain temperature influence change data, and generating calibration parameters of the current transformer based on the temperature influence change data;

[0084] S204: extracting operation and maintenance magnetic field data and operation and maintenance structure data of the current transformer based on the preprocessed operation and maintenance information, and constructing a finite element simulation model of the current transformer based on the operation and maintenance structure data;

[0085] S205: performing magnetic field interference analysis based on the finite element simulation model using the operation and maintenance magnetic field data in combination with a functional relationship to obtain magnetic field interference analysis data;

[0086] S206: Acquire historical error compensation influencing parameters of the current transformer, perform factor screening based on the historical error compensation influencing parameters to obtain error compensation influencing factors, and construct an error influence model based on the error compensation influencing factors combined with an error simulation model generated by preprocessed power data;

[0087] S207: constructing a magnetic field analysis model using the magnetic field interference analysis data based on the nonlinear parameterized function, and constructing an error analysis model of the current transformer based on the error influence model and the magnetic field analysis model;

[0088] S208: performing error compensation analysis of the current period using the current data of the stable current period based on the error analysis model to obtain error compensation analysis data, and generating a first error compensation value based on the error compensation analysis data and the temperature influence change data;

[0089] S209: determining loss data of the current transformer by dielectric loss analysis based on the preprocessed operation and maintenance information, determining a second error compensation value based on the loss data, and generating a target error compensation value based on the first error compensation value and the second error compensation value;

[0090] S210: Controlling the current transformer to perform current calibration measurement processing based on the calibration parameter and the target error compensation value to obtain a current calibration measurement result.

[0091] In an embodiment of the present invention, the target harmonic analysis data is formed by first harmonic analysis data generated by harmonic data and harmonic current frequency analysis data and second harmonic analysis data generated by waveform distortion rate and saturation data, so that the obtained harmonic analysis data is more comprehensive and accurate. Based on the target harmonic analysis data, the temperature influence change analysis is performed using the preprocessed temperature time series data to generate the calibration parameters of the current transformer. Considering the influence of the harmonic data on the temperature change, the obtained calibration parameters are more accurate, ensuring the calibration accuracy of the current transformer. Based on the magnetic field interference analysis data and the preprocessed power data, the error analysis model of the current transformer is constructed to perform error compensation analysis of the current period. The first error compensation value is generated according to the error compensation analysis data and the temperature influence change data, which can effectively improve the accuracy of the error compensation analysis and better measure the error influence caused by the magnetic field interference on the current measurement of the current transformer. Based on the preprocessed operation and maintenance information, the loss data of the current transformer is determined by using the dielectric loss analysis to obtain the second error compensation value, which can more comprehensively analyze the loss data of the current transformer, make the target error compensation value finally obtained more reliable, and can better compensate the current measurement result of the current transformer. Based on the calibration parameters and the target error compensation value, the current transformer is controlled to perform current calibration measurement processing, which improves the current measurement accuracy of the current transformer and makes the obtained current measurement result more reliable.

[0092] Embodiment 3

[0093] See also Figure 3 , Figure 3 : is a schematic diagram of the structure of a current calibration measurement device for a current transformer in an embodiment of the present invention, the device comprising:

[0094] Data preprocessing module 31: used to obtain operation and maintenance information, power data and temperature time series data of the current transformer, and preprocess the operation and maintenance information, power data and temperature time series data to obtain preprocessed operation and maintenance information, power data and temperature time series data;

[0095] Harmonic analysis module 32: used to perform harmonic analysis based on pre-processed power data to obtain target harmonic analysis data;

[0096] The calibration parameter generating module 33 is used to perform temperature influence change analysis based on the target harmonic analysis data using the preprocessed temperature time series data, obtain temperature influence change data, and generate the calibration parameters of the current transformer based on the temperature influence change data;

[0097] A first error compensation value generating module 34 is used to perform magnetic field interference analysis based on the preprocessed operation and maintenance information to obtain magnetic field interference analysis data, build an error analysis model of the current transformer based on the magnetic field interference analysis data and the preprocessed power data, perform error compensation analysis of the current period based on the error analysis model to obtain error compensation analysis data, and generate a first error compensation value based on the error compensation analysis data and temperature influence change data;

[0098] A target error compensation value generating module 35 is configured to determine the loss data of the current transformer by dielectric loss analysis based on the preprocessed operation and maintenance information, determine the second error compensation value based on the loss data, and generate a target error compensation value based on the first error compensation value and the second error compensation value;

[0099] The current calibration measurement module 36 is used to control the current transformer to perform current calibration measurement processing based on the calibration parameters and the target error compensation value to obtain a current calibration measurement result.

[0100] In the specific implementation process of the present invention, the specific implementation method of the device item can refer to the implementation method of the above-mentioned method item, which will not be repeated here.

[0101] In an embodiment of the present invention, the target harmonic analysis data is formed by first harmonic analysis data generated by harmonic data and harmonic current frequency analysis data and second harmonic analysis data generated by waveform distortion rate and saturation data, so that the obtained harmonic analysis data is more comprehensive and accurate. Based on the target harmonic analysis data, the temperature influence change analysis is performed using the preprocessed temperature time series data to generate the calibration parameters of the current transformer. Considering the influence of the harmonic data on the temperature change, the obtained calibration parameters are more accurate, ensuring the calibration accuracy of the current transformer. Based on the magnetic field interference analysis data and the preprocessed power data, the error analysis model of the current transformer is constructed to perform error compensation analysis of the current period. The first error compensation value is generated according to the error compensation analysis data and the temperature influence change data, which can effectively improve the accuracy of the error compensation analysis and better measure the error influence caused by the magnetic field interference on the current measurement of the current transformer. Based on the preprocessed operation and maintenance information, the loss data of the current transformer is determined by using the dielectric loss analysis to obtain the second error compensation value, which can more comprehensively analyze the loss data of the current transformer, make the target error compensation value finally obtained more reliable, and can better compensate the current measurement result of the current transformer. Based on the calibration parameters and the target error compensation value, the current transformer is controlled to perform current calibration measurement processing, which improves the current measurement accuracy of the current transformer and makes the obtained current measurement result more reliable.

[0102] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, a current calibration measurement method for a current transformer of any one of the above embodiments is implemented. The computer-readable storage medium includes, but is not limited to, any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory), RAM (Random Access Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic card or optical card. That is, the storage device includes any medium that can store or transmit information in a readable form by a device (for example, a computer, a mobile phone), which can be a read-only memory, a disk or an optical disk, etc.

[0103] Embodiment 4

[0104] See also Figure 4 , Figure 4 It is a schematic diagram of the structure of an electronic device in an embodiment of the present invention.

[0105] The embodiment of the present invention further provides an electronic device, such as Figure 4 As shown, the electronic device includes a memory 41, a processor 43, and a computer program 42 stored in the memory 41 and executable on the processor 43. Those skilled in the art will appreciate that Figure 3The electronic device shown does not constitute a limitation on all devices, and may include more or fewer components than shown, or combine certain components. The memory 41 can be used to store the computer program 42 and various functional modules, and the processor 43 runs the computer program 42 stored in the memory 41, thereby executing various functional applications and data processing of the device. The memory can be an internal memory or an external memory, or include both internal and external memories. The internal memory can include a read-only memory (ROM), a programmable ROM (PROM), an electrically programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, or a random access memory. The external memory can include a hard disk, a floppy disk, a ZIP disk, a U disk, a magnetic tape, etc. The processor 43 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general processor may be a microprocessor, a single chip microcomputer or the processor 43 may also be any conventional processor, etc. The processor and memory disclosed in the present invention include but are not limited to these types of processors and memories. The processor and memory disclosed in the present invention are only examples and not limitations.

[0106] As an embodiment, the electronic device includes: one or more processors 43, a memory 41, and one or more computer programs 42, wherein the one or more computer programs 42 are stored in the memory 41 and are configured to be executed by the one or more processors 43, and the one or more computer programs 42 are configured to execute the current calibration measurement method of the current transformer in any of the above-mentioned embodiments. For the specific implementation process, please refer to the above-mentioned embodiments, which will not be repeated here.

[0107] In an embodiment of the present invention, the target harmonic analysis data is formed by first harmonic analysis data generated by harmonic data and harmonic current frequency analysis data and second harmonic analysis data generated by waveform distortion rate and saturation data, so that the obtained harmonic analysis data is more comprehensive and accurate. Based on the target harmonic analysis data, the temperature influence change analysis is performed using the preprocessed temperature time series data to generate the calibration parameters of the current transformer. Considering the influence of the harmonic data on the temperature change, the obtained calibration parameters are more accurate, ensuring the calibration accuracy of the current transformer. Based on the magnetic field interference analysis data and the preprocessed power data, the error analysis model of the current transformer is constructed to perform error compensation analysis of the current period. The first error compensation value is generated according to the error compensation analysis data and the temperature influence change data, which can effectively improve the accuracy of the error compensation analysis and better measure the error influence caused by the magnetic field interference on the current measurement of the current transformer. Based on the preprocessed operation and maintenance information, the loss data of the current transformer is determined by using the dielectric loss analysis to obtain the second error compensation value, which can more comprehensively analyze the loss data of the current transformer, make the target error compensation value finally obtained more reliable, and can better compensate the current measurement result of the current transformer. Based on the calibration parameters and the target error compensation value, the current transformer is controlled to perform current calibration measurement processing, which improves the current measurement accuracy of the current transformer and makes the obtained current measurement result more reliable.

[0108] In addition, the current calibration measurement method and related devices of a current transformer provided in an embodiment of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A current calibration measurement method for a current transformer, characterized in that: The method comprises: Acquire operation and maintenance information, power data, and temperature time series data of the current transformer, and preprocess the operation and maintenance information, power data, and temperature time series data to obtain preprocessed operation and maintenance information, power data, and temperature time series data; Perform harmonic analysis based on preprocessed power data to obtain target harmonic analysis data; Based on the target harmonic analysis data, using the preprocessed temperature time series data to perform temperature influence change analysis to obtain temperature influence change data, and generating calibration parameters of the current transformer based on the temperature influence change data; Performing magnetic field interference analysis based on the preprocessed operation and maintenance information to obtain magnetic field interference analysis data, constructing an error analysis model for the current transformer based on the magnetic field interference analysis data and the preprocessed power data, performing error compensation analysis of the current period based on the error analysis model to obtain error compensation analysis data, and generating a first error compensation value based on the error compensation analysis data and temperature influence change data; Determine loss data of the current transformer using dielectric loss analysis based on the preprocessed operation and maintenance information, determine a second error compensation value based on the loss data, and generate a target error compensation value based on the first error compensation value and the second error compensation value; Based on the calibration parameters and the target error compensation value, the current transformer is controlled to perform current calibration measurement processing to obtain a current calibration measurement result; Wherein, the preprocessing of the operation and maintenance information, power data and temperature time series data to obtain the preprocessed operation and maintenance information, power data and temperature time series data includes: performing data cleaning processing on the operation and maintenance information, power data and temperature time series data to obtain the operation and maintenance information, power data and temperature time series data after data cleaning processing; performing data integration processing on the operation and maintenance information, power data and temperature time series data after data cleaning processing to obtain the preprocessed operation and maintenance information, power data and temperature time series data, the operation and maintenance information includes operation and maintenance environment information, operation and maintenance magnetic field information, operation and maintenance times and operation and maintenance types, and the power data includes primary side current data and secondary side current data of the current transformer; The method of performing magnetic field interference analysis based on preprocessed operation and maintenance information to obtain magnetic field interference analysis data, constructing an error analysis model of a current transformer based on the magnetic field interference analysis data and preprocessed power data, and performing error compensation analysis of a current period based on the error analysis model to obtain error compensation analysis data includes: extracting operation and maintenance magnetic field data and operation and maintenance structure data of the current transformer based on the preprocessed operation and maintenance information, and constructing a finite element simulation model of the current transformer based on the operation and maintenance structure data; performing magnetic field interference analysis based on the finite element simulation model using the operation and maintenance magnetic field data in combination with a functional relationship to obtain magnetic field interference analysis data; obtaining historical error compensation influencing parameters of the current transformer, performing factor screening based on the historical error compensation influencing parameters to obtain error compensation influencing factors, and constructing an error influence model based on the error compensation influencing factors combined with an error simulation model generated by preprocessed power data; constructing a magnetic field analysis model based on a nonlinear parameterized function using magnetic field interference analysis data, and constructing an error analysis model of the current transformer based on the error influence model and the magnetic field analysis model; performing error compensation analysis of the current period using current data of a stable current period based on the error analysis model to obtain error compensation analysis data.

2. The current calibration measurement method of a current transformer according to claim 1, characterized in that: The performing harmonic analysis based on the pre-processed power data to obtain target harmonic analysis data includes: Extracting primary current waveform data and secondary current waveform data based on the preprocessed power data; Calculating a target spectrum using a frequency domain analysis window based on the primary current waveform data, and calculating harmonic data of the target spectrum; Performing harmonic current frequency analysis based on the harmonic data to obtain harmonic current frequency analysis data, and generating first harmonic analysis data based on the harmonic data and the harmonic current frequency analysis data; Acquiring characteristic data of the secondary current waveform data, calculating a harmonic ratio and a waveform area ratio based on the characteristic data, and determining saturation data of the current transformer based on the harmonic ratio and the waveform area ratio; calculating a waveform distortion rate based on the secondary current waveform data, and generating second harmonic analysis data based on the waveform distortion rate and saturation data; Target harmonic analysis data is generated based on the first harmonic analysis data and the second harmonic analysis data.

3. The current calibration measurement method of a current transformer according to claim 1, characterized in that: The method of performing temperature influence change analysis based on the target harmonic analysis data using the preprocessed temperature time series data to obtain temperature influence change data, and generating a calibration parameter of the current transformer based on the temperature influence change data, includes: Calculating a temperature peak value and a temperature average value based on the preprocessed temperature time series data, and calculating a temperature stability rate based on the temperature peak value and the temperature average value; generating a current state coefficient based on the target harmonic analysis data, and constructing an operation state model based on the current state coefficient; Based on the operating state model, the temperature stability rate is used to perform temperature influence change analysis to obtain temperature influence change data; Based on the temperature influence change data, the influence current change ratio, the level matching resistance and the influence current phase difference are matched in the temperature coefficient table to obtain the standard current change ratio, the standard level matching resistance and the standard current phase difference; The current correction value and the phase difference correction value are calculated based on the influencing current change ratio, the level matching resistance, the influencing current phase difference, the standard current change ratio, the standard level matching resistance and the standard current phase difference, and the calibration parameters of the current transformer are determined based on the current correction value and the phase difference correction value.

4. The current calibration measurement method of a current transformer according to claim 1, characterized in that: The method of determining the loss data of the current transformer by using dielectric loss analysis based on the preprocessed operation and maintenance information, and determining the second error compensation value based on the loss data, includes: Acquire dielectric loss data based on the preprocessed operation and maintenance information, and determine a loss factor based on the dielectric loss data; Based on the loss factor, a medium aging reaction rate equation is used to perform curve fitting to obtain a medium aging reaction correlation coefficient; Perform dielectric loss analysis based on the dielectric aging reaction correlation coefficient to obtain dielectric loss analysis data; Extracting operation and maintenance frequency data and operation and maintenance type data of the current transformer based on the preprocessed operation and maintenance information, and determining loss data of the current transformer based on the operation and maintenance frequency data, the operation and maintenance type data and the dielectric loss analysis data; A second error compensation value is matched in an error compensation database based on the loss data.

5. The current calibration measurement method of a current transformer according to claim 1, characterized in that: The step of controlling the current transformer to perform current calibration measurement processing based on the calibration parameter and the target error compensation value to obtain the current calibration measurement result includes: The current transformer is calibrated based on the calibration parameters to obtain the calibrated current transformer, and the calibrated current transformer is subjected to current calibration measurement based on the target error compensation value to obtain a current calibration measurement result.

6. A current calibration measuring device for a current transformer, characterized in that: The device comprises: Data preprocessing module: used to obtain operation and maintenance information, power data and temperature time series data of the current transformer, and preprocess the operation and maintenance information, power data and temperature time series data to obtain the preprocessed operation and maintenance information, power data and temperature time series data; Harmonic analysis module: used to perform harmonic analysis based on pre-processed power data to obtain target harmonic analysis data; A calibration parameter generation module: used to perform temperature influence change analysis based on the target harmonic analysis data using the preprocessed temperature time series data, obtain temperature influence change data, and generate calibration parameters of the current transformer based on the temperature influence change data; A first error compensation value generating module: used to perform magnetic field interference analysis based on the preprocessed operation and maintenance information to obtain magnetic field interference analysis data, build an error analysis model of the current transformer based on the magnetic field interference analysis data and the preprocessed power data, perform error compensation analysis of the current period based on the error analysis model to obtain error compensation analysis data, and generate a first error compensation value based on the error compensation analysis data and temperature influence change data; A target error compensation value generating module is used to determine the loss data of the current transformer by dielectric loss analysis based on the preprocessed operation and maintenance information, determine the second error compensation value based on the loss data, and generate a target error compensation value based on the first error compensation value and the second error compensation value; A current calibration measurement module is used to control the current transformer to perform current calibration measurement processing based on the calibration parameters and the target error compensation value to obtain a current calibration measurement result; Wherein, the preprocessing of the operation and maintenance information, power data and temperature time series data to obtain the preprocessed operation and maintenance information, power data and temperature time series data includes: performing data cleaning processing on the operation and maintenance information, power data and temperature time series data to obtain the operation and maintenance information, power data and temperature time series data after data cleaning processing; performing data integration processing on the operation and maintenance information, power data and temperature time series data after data cleaning processing to obtain the preprocessed operation and maintenance information, power data and temperature time series data, the operation and maintenance information includes operation and maintenance environment information, operation and maintenance magnetic field information, operation and maintenance times and operation and maintenance types, and the power data includes primary side current data and secondary side current data of the current transformer; The method of performing magnetic field interference analysis based on preprocessed operation and maintenance information to obtain magnetic field interference analysis data, constructing an error analysis model of a current transformer based on the magnetic field interference analysis data and preprocessed power data, and performing error compensation analysis of a current period based on the error analysis model to obtain error compensation analysis data includes: extracting operation and maintenance magnetic field data and operation and maintenance structure data of the current transformer based on the preprocessed operation and maintenance information, and constructing a finite element simulation model of the current transformer based on the operation and maintenance structure data; performing magnetic field interference analysis based on the finite element simulation model using the operation and maintenance magnetic field data in combination with a functional relationship to obtain magnetic field interference analysis data; obtaining historical error compensation influencing parameters of the current transformer, performing factor screening based on the historical error compensation influencing parameters to obtain error compensation influencing factors, and constructing an error influence model based on the error compensation influencing factors combined with an error simulation model generated by preprocessed power data; constructing a magnetic field analysis model based on a nonlinear parameterized function using magnetic field interference analysis data, and constructing an error analysis model of the current transformer based on the error influence model and the magnetic field analysis model; performing error compensation analysis of the current period using current data of a stable current period based on the error analysis model to obtain error compensation analysis data.

7. An electronic device, comprising a processor and a memory, characterized in that: The memory is used to store instructions, and the processor is used to call the instructions in the memory, so that the electronic device executes the current calibration measurement method for the current transformer according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed on an electronic device, the electronic device executes the current calibration measurement method for a current transformer according to any one of claims 1 to 5.

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