CN-122017490-A - Device insulation state determining method, device and nonvolatile storage medium

CN122017490ACN 122017490 ACN122017490 ACN 122017490ACN-122017490-A

Abstract

The invention discloses a device insulation state determining method, a device insulation state determining apparatus and a nonvolatile storage medium. The method comprises the steps of obtaining an initial pulse signal of target equipment, determining discharge quantity corresponding to the target equipment based on the initial pulse signal, separating the initial pulse signal to obtain a target pulse signal, converting the target pulse signal into polar coordinates, determining a target polar coordinate vector domain distribution diagram corresponding to the target pulse signal based on the polar coordinates, determining a target signal type corresponding to the target polar coordinate vector domain distribution diagram based on a preset corresponding relation between a plurality of candidate polar coordinate vector domain distribution diagrams and a plurality of signal types, and determining the insulation state of the target equipment based on the target signal type and the discharge quantity. The invention solves the technical problem that the insulation defect detection of the power equipment is inaccurate due to weak anti-interference capability of the existing partial discharge monitoring under the complex electromagnetic environment.

Inventors

LIU YANG
ZHANG XIAO
JIAO ZHENGGUO
Kuang Guangyao
XU LINGFEI
Xia boya
YI SHUWEI
DONG XIANG
LIU JUNJIE
WU XIAOXUE
GONG QIYANG
DIAO XINGYI

Assignees

国网北京市电力公司

Dates

Publication Date: 20260512
Application Date: 20260205

Claims (11)

1. A device insulation state determination method, characterized by comprising: acquiring an initial pulse signal of target equipment; determining the discharge amount corresponding to the target equipment based on the initial pulse signal; separating the initial pulse signals to obtain target pulse signals; Converting the target pulse signal into polar coordinates; determining a target polar coordinate vector domain distribution diagram corresponding to the target pulse signal based on the polar coordinates; Determining a target signal type corresponding to the target polar coordinate vector domain distribution map based on the preset correspondence between a plurality of candidate polar coordinate vector domain distribution maps and a plurality of signal types; An insulation state of the target device is determined based on the target signal type and the discharge amount.
2. The method of claim 1, wherein the separating the initial pulse signal to obtain a target pulse signal comprises: filtering the pulse signal to obtain a processed pulse signal; performing Fourier transform on the processed pulse signals, and determining time-frequency characteristics corresponding to the processed pulse signals; And separating the processed pulse signals based on the time-frequency characteristics to obtain the target pulse signals.
3. The method of claim 1, wherein said converting said target pulse signal to polar coordinates comprises: determining a target pulse signal sequence based on the target pulse signal; Extracting a plurality of sampling points meeting preset conditions from the target pulse signal sequence based on a preset signal sampling interval; calculating complex representations of the target pulse signal sequence at the plurality of sampling points; the polar coordinates are determined based on the complex representation at the plurality of sampling points.
4. The method according to claim 1, wherein determining the target signal type corresponding to the target polar vector domain distribution map based on the preset correspondence between the plurality of candidate polar vector domain distribution maps and the plurality of signal types, comprises: calculating cross-correlation coefficients respectively corresponding to the target polar coordinate vector domain distribution diagram and the candidate polar coordinate vector domain distribution diagrams; and selecting a signal type corresponding to the candidate polar coordinate vector domain distribution diagram with the cross correlation coefficient meeting a preset condition as the target signal type.
5. The method of claim 4, wherein the cross-correlation coefficients for each of the target polar vector domain profile and the plurality of candidate polar vector domain profiles are calculated based on a predetermined formula, wherein the predetermined formula is as follows: , Wherein, the As the cross-correlation coefficient, For the target polar vector domain profile, For any one of the plurality of candidate polar vector field profiles, As an average value of the target pulse signal, For the average value of the pulse signal corresponding to the corresponding candidate polar vector field profile, For a preset index of the signal samples, Is a preset signal sampling length.
6. The method according to any one of claims 1 to 5, wherein said determining an insulation state of the target device based on the target signal type and the discharge amount comprises: And determining that the insulation state of the target equipment is normal under the condition that the target signal type is a noise signal type.
7. The method according to any one of claims 1 to 5, wherein said determining an insulation state of the target device based on the target signal type and the discharge amount comprises: determining that the insulation state of the target equipment is an insulation defect under the condition that the target signal type is a discharge signal type; And determining the insulation defect degree of the target equipment based on the discharge amount when the insulation state is that the insulation defect exists.
8. An apparatus insulation state determining device, characterized by comprising: The acquisition module is used for acquiring an initial pulse signal of the target equipment; the first determining module is used for determining the discharge quantity corresponding to the target equipment based on the initial pulse signal; the separation module is used for separating the initial pulse signals to obtain target pulse signals; The conversion module is used for converting the target pulse signal into polar coordinates; the second determining module is used for determining a target polar coordinate vector domain distribution diagram corresponding to the target pulse signal based on the polar coordinates; the third determining module is used for determining a target signal type corresponding to the target polar coordinate vector domain distribution map based on the preset corresponding relation between the plurality of candidate polar coordinate vector domain distribution maps and the plurality of signal types; And a fourth determining module for determining an insulation state of the target device based on the target signal type and the discharge amount.
9. A nonvolatile storage medium, characterized in that the nonvolatile storage medium includes a stored program, wherein the program, when run, controls a device in which the nonvolatile storage medium is located to execute the device insulation state determination method according to any one of claims 1 to 7.
10. A computer device is characterized by comprising a memory and a processor, The memory stores a computer program; The processor configured to execute a computer program stored in the memory, the computer program when executed causing the processor to perform the device insulation state determination method of any one of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the method of determining the insulation state of a device according to any of claims 1 to 7.

Description

Device insulation state determining method, device and nonvolatile storage medium Technical Field The present invention relates to the field of power detection technologies, and in particular, to a device insulation state determining method, device and nonvolatile storage medium. Background In the field of maintenance and monitoring of power equipment, partial discharge detection is a key technology for evaluating insulation states of power equipment such as power cables, transformers, reactors and the like. Partial discharge often occurs at insulation defects of electrical equipment, and when the electric field strength reaches the breakdown field strength of the region, particularly under the action of test voltage or rated voltage, the partial breakdown of the insulation material can be caused, so that tiny discharge energy is generated. This phenomenon, although of lesser energy, is indicative of a potential problem with the insulation system of the electrical equipment, and long-term discharge can lead to deterioration of the insulation material, which can eventually lead to complete failure of the equipment. Therefore, timely detection and identification of the type of partial discharge are of great significance in preventing power equipment faults and guaranteeing safe operation of a power system. The existing partial discharge reactance interference method and discharge type identification technology have the defects in the aspects of accuracy of signal extraction, efficiency of signal type identification and data processing in a complex electromagnetic environment. In complex electromagnetic environments, especially when the frequency of the interference signal overlaps with the frequency of the partial discharge signal, accurate selection of the frequency range becomes extremely difficult, which not only results in attenuation of the actual partial discharge signal, but may also introduce additional interference noise, reducing the accuracy and sensitivity of detection. Furthermore, when the field periodic disturbance frequency changes, the frequency threshold needs to be manually adjusted, which limits the applicability and practicality of the method. In view of the above problems, no effective solution has been proposed at present. Disclosure of Invention The embodiment of the invention provides a method and a device for determining an insulation state of equipment and a nonvolatile storage medium, which at least solve the technical problem that the insulation defect detection of power equipment is inaccurate due to weak anti-interference capability of the existing partial discharge monitoring in a complex electromagnetic environment. According to one aspect of the embodiment of the invention, a device insulation state determining method is provided, which comprises the steps of obtaining an initial pulse signal of target device, determining a discharge amount corresponding to the target device based on the initial pulse signal, separating the initial pulse signal to obtain a target pulse signal, converting the target pulse signal into polar coordinates, determining a target polar coordinate vector domain distribution diagram corresponding to the target pulse signal based on the polar coordinates, determining a target signal type corresponding to the target polar coordinate vector domain distribution diagram based on the preset corresponding relation between a plurality of candidate polar coordinate vector domain distribution diagrams and a plurality of signal types, and determining the insulation state of the target device based on the target signal type and the discharge amount. Optionally, the method comprises the steps of separating an initial pulse signal to obtain a target pulse signal, wherein the method comprises the steps of filtering the pulse signal to obtain a processed pulse signal, carrying out Fourier transform on the processed pulse signal to determine a time-frequency characteristic corresponding to the processed pulse signal, and separating the processed pulse signal based on the time-frequency characteristic to obtain the target pulse signal. Optionally, converting the target pulse signal to polar coordinates includes determining a target pulse signal sequence based on the target pulse signal, extracting a plurality of sampling points from the target pulse signal sequence that satisfy a preset condition based on a preset signal sampling interval, calculating complex representations of the target pulse signal sequence at the plurality of sampling points, and determining the polar coordinates based on the complex representations of the plurality of sampling points. Optionally, determining the target signal type corresponding to the target polar vector domain distribution map based on the corresponding relation between the preset plurality of candidate polar vector domain distribution maps and the plurality of signal types comprises calculating the cross-correlation coefficient c