Optimized DOCR Setting by Considering Generator Scheme and Different Configuration on Ring System

Imam Suri Tauladan, V. R. Mahindara, M. Pujiantara, A. Priyadi
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引用次数: 2

Abstract

This paper aims to obtain optimal directional overcurrent relay (DOCRs) settings, which is a common problem in power system protection. This study was conducted in the industrial plant that used ring main distribution topology. Unlike previous research, this paper considers the impact of generator operation schemes. In addition, this paper also deals with the condition where one of the feeders is open on the ring main distribution system and change its topology to a radial network. Both of the conditions above have impact on DOCRs setting. The differential evolution (DE) algorithm is used to obtain the optimal time dial setting (TDS) for the relays connected in the network. Two variant mutation strategies of the DE algorithm have been implemented and compared respectively to fill the gap of previous study. The difference of operating time between DE/best/1 and PSO on all cases is above 25% while DE/best/1 and DE/rand-to-best/l is above 8.7%. This study concludes that the best mutation strategies method for solving DOCRs setting is DE/best/1. In addition, DE/best/1 has been compared with particle swarm optimization (PSO), the results concludes the DE/best/1 more optimized than PSO.
考虑发电机方案和环系统不同配置,优化DOCR设置
针对电力系统保护中常见的问题——定向过流继电器(directional overcurrent relay, docr)的最佳整定进行了研究。本研究在采用环形主配电拓扑的工业厂房中进行。与以往的研究不同,本文考虑了发电机运行方案的影响。此外,本文还讨论了环形主配电系统中其中一条馈线开路并将其拓扑结构改为径向网络的情况。以上两种情况都会影响到docr的设置。采用差分进化(DE)算法对网络中连接的中继进行最佳时间拨号设置(TDS)。分别实现了DE算法的两种变体突变策略,并对其进行了比较,填补了前人研究的空白。所有情况下DE/best/1与PSO的操作时间差值均在25%以上,DE/best/1和DE/rand-to-best/l的操作时间差值均在8.7%以上。本研究得出求解DOCRs设置的最佳突变策略方法为DE/best/1。此外,将DE/best/1算法与粒子群算法(PSO)进行了比较,结果表明DE/best/1算法比粒子群算法更优。
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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