Optimal placement and sizing of DG in Radial Distribution System using PSO Technique

M. H. Rind, M. Rathi, A. Hashmani, A. A. Lashari
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引用次数: 2

Abstract

Power distribution system having various buses, branches and loads that ultimately rises the power losses and from few decades, integration of solar and wind distributed generations has ever increased attention in radial distribution network (RDN). The main reason for DG integration in radial distribution system is increased load growth, transmission line loading, deregulated power system, power losses, increased greenhouse gas emissions, voltage drop and increased reliability issues in RDN. The main focus of this paper is to find optimal size and site of solar PV to improve voltage at all the nodes with in permissible limits and to reduce power losses in RDN using particle swarm optimization (PSO) algorithm. Here two scenarios were considered. Scenario one was the integration of 1DG and second scenario was the integration of 2DGs. Furthermore, Results obtained shows that greater number of DG integration increases the system reliability, reduces losses and improves voltage at all the nodes of the RDN.
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基于粒子群优化技术的径向配电系统DG优化配置与选型
由于配电系统具有各种母线、支路和负载,最终会增加电力损耗,近几十年来,太阳能和风能分布式电源的集成越来越受到径向配电网(RDN)的关注。径向配电系统中DG集成的主要原因是负荷增加、输电线路负荷增加、电力系统放松管制、电力损耗、温室气体排放增加、电压下降和RDN可靠性提高等问题。本文的重点是利用粒子群优化(PSO)算法寻找太阳能光伏的最佳尺寸和位置,以在允许范围内提高所有节点的电压,并减少RDN中的功率损失。这里考虑了两种情况。方案一是1DG的整合,方案二是2dg的整合。此外,研究结果表明,越多的DG集成次数,系统的可靠性就越高,损耗就越小,RDN各节点的电压也越高。
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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