Distribution network fault diagnosis technology based on intelligent algorithm

Kongxian Wang, Ying Shao, Liming Wang, K. Lei
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引用次数: 0

Abstract

Fast and accurate fault diagnosis of distribution network is the key to ensure the reliability and security of power supply in distribution network. For distribution network fault diagnosis technology at home and abroad at present, mainly around the fault section location and precise ranging from two aspects, this paper combined with the latest research results of distribution network fault diagnosis technology, summarizes the related technologies of section positioning and fault location method, including matrix algorithm, genetic algorithm (GA), neural network algorithm (NNA), particle swarm optimization (PSO) algorithm, traveling wave method, impedance method, fault wave record device intelligent algorithm, etc., analyzes the basic principle and advantages and disadvantages of each algorithm, finally, the future development of the fault diagnosis technology is prospected.
基于智能算法的配电网故障诊断技术
快速准确的配电网故障诊断是保证配电网供电可靠性和安全性的关键。对于目前国内外的配电网故障诊断技术,主要围绕故障区段定位和精确测距两个方面展开,本文结合配电网故障诊断技术的最新研究成果,总结了配电网故障区段定位和故障定位的相关技术方法,包括矩阵算法、遗传算法(GA)、神经网络算法(NNA)、粒子群优化(PSO)算法等。行波法、阻抗法、故障波记录装置智能算法等,分析了每种算法的基本原理和优缺点,最后对故障诊断技术的未来发展进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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