Research on Low Voltage Fault Location of Distribution Network Based on Big Data Analysis
In order to maintain the normal operation of the distribution network and improve the low voltage fault location ability of the distribution network,a low voltage fault location method based on big data analysis is proposed.By collecting low volt-age fault location data in the distribution network and using the support vector machine algorithm in big data analysis algorithms for classification,low voltage fault location in the distribution network can be achieved.An improved particle swarm optimiza-tion algorithm to improve support vector machine algorithm to optimize low voltage fault location results in distribution net-work,and the simulation experiment is conducted to locate low voltage fault in the distribution network.The results show that the proposed method solves the drawbacks of low voltage fault location method in distribution network,achieves ideal low volt-age fault location results,which can meet the practical requirements of low voltage fault location in distribution network.
big data analysissupport vector machinelow voltage fault of distribution networkclassifier design
万方数据
维普
