Fault Segment Location in Distributed Distribution Network Based on Improved Particle Swarm Optimization Algorithm

Liansuo Zheng, Zhanshan Wang, C. Wang
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引用次数: 0

Abstract

For some specialists and academics, the study of distribution network fault location has always been a crucial research area. The access of distributed generation (DG) to distribution network has made it more challenging to locate faults in those distribution networks, particularly in recent years. According to the similarities and differences between distribution network with DG and traditional distribution network, this paper establishes the switch function and fitness function of distribution network with DG. An improved PSO is proposed and the rate of convergence of PSO is accelerated. Finally, the original PSO and improved PSO are used to simulate and verify the fault location of the distribution network with DG. The improved PSO proposed in this paper has advantages in fault location in distribution network with DG.
基于改进粒子群优化算法的配电网络故障段定位
对于一些专家和学者来说,配电网故障定位研究一直是一个重要的研究领域。近年来,分布式发电接入配电网,给配电网故障定位带来了很大的挑战。根据含DG配电网与传统配电网的异同,建立了含DG配电网的开关函数和适应度函数。提出了一种改进的粒子群算法,提高了粒子群算法的收敛速度。最后,利用原粒子群算法和改进粒子群算法对含DG配电网的故障定位进行了仿真验证。本文提出的改进粒子群算法在有DG的配电网故障定位中具有优势。
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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