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  • 标题:OPTIMAL SIZING AND PLACEMENT OF DISTRIBUTED GENERATORS IN DISTORTED DISTRIBUTION SYSTEM BY USING HYBRID GA-PSO
  • 本地全文:下载
  • 作者:D.KAVITHA ; Dr.P.RENUGA ; S.MUTHAMIL PRIYA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:61
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In this paper, an approach using Hybrid Genetic Algorithm and Particle Swarm Optimization Search (HGAPSO) is presented for placing Distributed Generators (DGs) in distorted distribution system. The objective is to minimize the loss and average voltage total harmonic distortion (THDv) of the distorted distribution system. A detailed performance analysis is carried out on IEEE 18 bus system to express the effectiveness of the proposed method.
  • 关键词:Distributed Generation (DG); Genetic Algorithm (GA); Multi Objective Optimization; Harmonic Distortion; Non Linear Programming.
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