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Power grid line fault detection method

A line fault and detection method technology, applied in the direction of fault location, information technology support system, etc., can solve the problems of increasing detection time, personnel work intensity, and large insulation fault detection range, so as to reduce the fault detection range and reduce the detection rate. Effects of Time and Work Intensity

Pending Publication Date: 2022-02-01
国网黑龙江省电力有限公司佳木斯供电公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the problem that the existing cable insulation fault detection range is relatively large, and the insulation fault can be detected and eliminated in advance, which increases the detection time and personnel work intensity, and provides a power grid line fault detection method

Method used

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specific Embodiment approach 1

[0016] Specific implementation mode one, the power grid line fault detection method of the present implementation mode, the specific steps are as follows:

[0017] Step 1. Obtain the fault detection table, which includes the line name and the section of the line insulation fault;

[0018] Step 2. Divide the detection results in the fault detection table according to the range of substations, and a part of the detection results in each substation range is used as a training set, and the remaining part is used as a verification set;

[0019] Step 3: Use the training set to train the neural network, and use the verification set to verify; then exchange the training set and verification set for cross-validation until the correct rate reaches the set threshold, and a trained neural network is obtained;

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Abstract

The invention discloses a power grid line fault detection method, relates to a method for detecting an insulation fault of a high-voltage line, and aims to solve the problem that the detection time and the labor intensity of workers are increased as the insulation fault can be found and eliminated in advance only when an existing cable insulation fault detection range is larger. The method comprises the following specific steps of 1, obtaining a fault detection table; 2, dividing the detection results in the fault detection table according to transformer substation ranges, taking a part of the detection results of each transformer substation range as a training set, and taking the remaining part as a verification set; 3, training a neural network by using the training set, and verifying the neural network by using the verification set; exchanging the training set and the verification set for cross validation until the accuracy reaches a set threshold value, and obtaining the trained neural network; and 4, inputting a fault phenomenon obtained by the remote monitoring of a power distribution network into the trained neural network, and predicting an insulation state fault section by using the trained neural network.

Description

technical field [0001] The invention relates to a method for detecting insulation faults of high-voltage lines. Background technique [0002] Due to the long-term work of high-voltage cables, it is easy to cause insulation aging. The detection of insulation aging is usually carried out manually by power grid maintenance personnel, and in areas with harsh environments, more frequent detection is required, but the occurrence of insulation faults is generally unpredictable, so the detection range is large to detect and eliminate insulation faults in advance , increasing the detection time and personnel work intensity. Contents of the invention [0003] The purpose of the present invention is to overcome the problem that the existing cable insulation fault detection range is relatively large, and the insulation fault can be detected and eliminated in advance, which increases the detection time and personnel work intensity, and provides a power grid line fault detection method...

Claims

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Application Information

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IPC IPC(8): G01R31/08
CPCG01R31/08Y04S10/52
Inventor 蔡广达张学川赵海清齐乾坤刘梦洋王谦康力文张继超罗辑贾志勇张扬徐明徐毓皓
Owner 国网黑龙江省电力有限公司佳木斯供电公司
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