微型电脑应用2023，Vol.39Issue(12)：163-166,4.
基于IPSO-SVM的电力输电线路隐患故障识别方法
Power Transmission Line Hidden Trouble Identification Method Based on IPSO-SVM
蔡建峰 1刘明辉 1鲁杰 1李威 1钟磊 1张清敏2
作者信息
- 1. 国网冀北电力有限公司承德供电公司,河北,承德 067000
- 2. 智洋创新科技股份有限公司,山东,淄博 255086
- 折叠
摘要
Abstract
In order to avoid hidden line risks in power system and reliably identify hidden faults of power transmission lines,a hidden fault identification method of power transmission lines based on IPSO-SVM is proposed.We obtain the envelope spec-trum singular value matrix corresponding to the feature,describe the hidden fault feature vector of power transmission line through the matrix,input it into the support vector machine model optimized by optimized particle swarm optimization algo-rithm and least square method,classify and identify the hidden faults of power transmission line,and output the identification results.The test results show that when the penalty factor and kernel parameter are 0.002 and 15,respectively,this method can accurately analyze the time-domain characteristic parameters affecting hidden faults.The identification error of hidden trou-ble is less than 0.06.关键词
IPSO-SVM算法/电力输电线路/隐患故障识别/时域特征参数/故障特征向量/奇异值矩阵Key words
IPSO-SVM algorithm/power transmission line/hidden trouble identification/time domain characteristic parame-ter/fault feature vector/singular value matrix分类
动力与电气工程引用本文复制引用
蔡建峰,刘明辉,鲁杰,李威,钟磊,张清敏..基于IPSO-SVM的电力输电线路隐患故障识别方法[J].微型电脑应用,2023,39(12):163-166,4.
