Electrical Distribution System Power Loss Reduction and Voltage Profile Enhancement by Network Reconfiguration Using PSO

Vinay J Shetty, S. Ankaliki
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引用次数: 9

Abstract

This paper mainly focuses on the best feeder reconfiguration of distribution system network by changing tie and sectionalizing switches maintaining the radiality of the network, in order to improvise the system efficiency w.r.t. the maximization of voltage profile and minimization of system losses. The optimization of the system is carried out by using Particle swarm optimization (PSO) to find the best switching pattern which leads to minimal loss confined to all equality and inequality constrains allied to distribution system. In this paper IEEE-33 Bus distribution system is taken for study and the results obtained are compared with the one with optimization with Genetic algorithm. The outcome attained illustrates the improvement in voltage profile of each bus and reduction in loss profile at each bus when compared to the values of base case.
基于粒子群算法的电网重构降低配电系统功率损耗及电压分布增强
本文主要研究在保持电网径向性的前提下,通过改变配电网的连接和分段开关,实现配电网馈线的最佳配置,从而在电压分布最大化和系统损耗最小化的同时提高系统效率。利用粒子群算法(PSO)对配电系统进行优化,在所有相等和不相等约束条件下,寻找损失最小的最佳配电模式。本文以IEEE-33总线配电系统为研究对象,并与遗传算法优化的结果进行了比较。所得结果表明,与基本情况值相比,每条母线的电压分布有所改善,每条母线的损耗分布有所减少。
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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