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Insulation defect diagnosis method and system for gas-insulated metal-enclosed switchgear

A technology of closed switchgear and gas-insulated metal, which is applied in the direction of instruments, dielectric strength testing, calculation, etc., can solve the problems of insufficient accuracy of GIS insulation fault diagnosis methods, and achieve the purpose of improving promotion ability, reducing blindness, and good adaptability sexual effect

Pending Publication Date: 2022-04-29
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, based on the current GIS fault diagnosis, SVMs are introduced into the GIS fault diagnosis, but there is a certain blindness in parameter selection for GIS fault diagnosis based on SVMs, which leads to the accuracy of the GIS insulation fault diagnosis method based on SVMs. insufficient

Method used

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  • Insulation defect diagnosis method and system for gas-insulated metal-enclosed switchgear
  • Insulation defect diagnosis method and system for gas-insulated metal-enclosed switchgear
  • Insulation defect diagnosis method and system for gas-insulated metal-enclosed switchgear

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Embodiment 1

[0040] Such as figure 1 As shown, this embodiment provides a method for diagnosing insulation defects of gas-insulated metal-enclosed switchgear. It includes terminals, servers and systems, and is realized through the interaction between terminals and servers. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or it can provide cloud services, cloud database, cloud computing, cloud function, cloud storage, network server, cloud communication, intermediate Cloud servers for basic cloud computing services such as software services, domain name services, security service CDN, and big data and artificial intelligence platforms. The terminal may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited thereto. The terminal and the server may be connected directly or indirectly through wired or wireless communication, which is ...

Embodiment 2

[0098] This embodiment provides a gas-insulated metal-enclosed switchgear insulation defect diagnosis system

[0099] The signal acquisition module is configured to acquire partial discharge signals corresponding to typical insulation defect types of gas-insulated metal-enclosed switchgear;

[0100]The classification model building module is configured to train the support vector machine classification model according to the partial discharge signal corresponding to the typical defect type, and obtain the trained support vector machine classification model;

[0101] The classification model optimization module is configured to optimize the trained support vector machine classification model based on the chaos optimization algorithm to obtain the final support vector machine classification model;

[0102] The insulation defect diagnosis module is configured to obtain the partial discharge signal of the gas-insulated metal-enclosed switchgear, and perform insulation defect fault...

Embodiment 3

[0106] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method for diagnosing an insulation defect of a gas-insulated metal-enclosed switchgear as described in the first embodiment above is implemented. step.

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Abstract

The invention provides a gas insulated metal-enclosed switchgear insulation defect diagnosis method and system. The method comprises the following steps: acquiring a partial discharge signal corresponding to a typical insulation defect type of a gas insulated metal-enclosed switchgear; training a support vector machine classification model according to the partial discharge signal corresponding to the typical defect type to obtain a trained support vector machine classification model; optimizing the trained support vector machine classification model based on a chaos optimization algorithm to obtain a final support vector machine classification model; and acquiring a partial discharge signal of the gas insulated metal-enclosed switchgear, and performing insulation defect fault diagnosis based on the final support vector machine classification model. The method is based on SVMs binary classification and multi-classification algorithms, intelligent recognition of GIS insulation defects is achieved, and the intelligent level of a GIS partial discharge detection system is improved.

Description

technical field [0001] The disclosure belongs to the technical field of fault diagnosis of GIS insulation defects, and in particular relates to a method and system for diagnosing insulation defects of gas-insulated metal-enclosed switchgear. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Gas insulated metal-enclosed switchgear (GAS insulated SWITCHGEAR, GIS) is a very important device in the power system. The unit is sealed in a grounded metal tank and filled with SF6 gas with good insulation performance and arc extinguishing ability to constitute the GIS equipment; due to the wide application and importance of GIS in the power grid, its operation is closely related to the whole Whether the power grid can work normally and safely is closely related. On-line monitoring of GIS partial discharge can avoid the negative impact of outage whi...

Claims

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Application Information

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IPC IPC(8): G01R31/12G06K9/00G06K9/62
CPCG01R31/1254G06F2218/12G06F18/23213G06F18/2411
Inventor 李杰孙承海孙艳迪孙景文师伟张丕沛汪鹏王江伟李秀卫任敬国辜超姚金霞徐冉冯新岩
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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