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Power distribution network fault prediction method

A distribution network failure and failure technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of difficult selection of prediction model parameters, difficult data extraction, etc., to improve stability and reliability, and improve data quality Effect

Pending Publication Date: 2020-07-17
STATE GRID INFO TELECOM GREAT POWER SCI & TECH +3
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a method for fault prediction of distribution network, solve the problems of difficult data extraction and selection of prediction model parameters in fault prediction of distribution network, and improve the overall power System Stability and Reliability

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Embodiment Construction

[0055] The following combination Figure 1-7 The present invention is described in further detail.

[0056] This embodiment discloses a method for fault prediction of distribution network, which is characterized in that it includes the following steps

[0057] The first step: the data preprocessing part, including the analysis of the influence factors of the distribution network fault and the sample screening based on the particle swarm optimization algorithm;

[0058] The second step: the feature variable selection part, including preliminary feature selection for each relevant variable, and then using a specific selection algorithm to re-screen to form the optimal feature variable set;

[0059] The third step: build a distribution network fault prediction model based on the classification of faults; classify the faults, use the improved particle swarm optimization algorithm to optimize the parameters of the support vector machine, and then build a distribution network fault...

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Abstract

The invention discloses a power distribution network fault prediction method. The method comprises: 1, data acquisition and preprocessing; 2, characteristic variable selection; 3, building of a powerdistribution network fault prediction model based on fault grading; according to the invention, the optimized data acts on the establishment of the accurate power distribution network fault predictionmodel; accurate prediction of the power distribution network fault is achieved, the problems that in power distribution network fault prediction, data is difficult to refine and extract, and prediction model parameters are difficult to select are solved, a basis is provided for power grid workers to respond to the power distribution network fault in time, and the stability and reliability of a whole power system are improved.

Description

technical field [0001] The invention relates to a method for fault prediction of a power distribution network in the field of power grid utilization. Background technique [0002] The distribution network is an important part of the power system. With the rapid development of the smart grid, a large number of uncertain connections of distributed power sources make the fault information of the distribution network more and more complicated, and the accurate and rapid analysis of the fault becomes more and more difficult. In order to ensure the highly intelligent operation of the distribution network, real-time monitoring of feeder operation data, timely warning of abnormal conditions, and rapid fault location and processing are required. [0003] The distribution network fault location method and the distribution network fault type analysis method in the prior art are based on the fault waveform collected by the fault indicator to locate and analyze the fault type after the f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06Y04S10/50
Inventor 黄文思陆鑫陈婧薛迎卫林超叶强镔胡从众张建永
Owner STATE GRID INFO TELECOM GREAT POWER SCI & TECH
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