Network reconfiguration for loss reduction with distributed generations using PSO

W. Dahalan, H. Mokhlis
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引用次数: 48

Abstract

This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the switching operation plan for feeder reconfiguration and optimum value of DG size simultaneously. The main objective is to reduce the real power losses and improve the bus voltage profile in the system while satisfying all the distribution constraints. A method based on PSO algorithm to determine the minimum configuration is presented and their impact on the network real power losses and voltage profiles are investigated. To demonstrate the validity of the proposed algorithm, computer simulations are carried out on 33 bus systems and the results are presented and compare with the Genetic Algorithm (GA) method.
基于粒子群算法的分布式代网络重构
提出了一种基于粒子群算法(PSO)同时确定馈线重构切换操作方案和DG尺寸最优值的有效方法。其主要目标是在满足所有配电约束的同时,降低实际功率损耗,改善系统的母线电压分布。提出了一种基于粒子群算法确定最小配置的方法,并研究了最小配置对电网实际损耗和电压分布的影响。为了验证该算法的有效性,在33个总线系统上进行了计算机仿真,并与遗传算法(GA)方法进行了比较。
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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