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  • 标题:GA Based Optimal Placement Of SVC For Minimizing Installation Cost And Voltage Deviations
  • 本地全文:下载
  • 作者:Ankita Singh ; Shishir Dixit
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:9
  • 页码:281-288
  • DOI:10.14257/ijhit.2015.8.9.26
  • 出版社:SERSC
  • 摘要:Power system under heavily loaded conditions is at high risks of consequent voltage instability problem. Voltage deviation minimization is the reliable indicators of voltage security of power networks. The aim is to minimize the voltage deviation and installation cost under increasing load condition in power system network. GA is used to solve the optimization problem in this paper which is one of the heuristic methods. Genetic Algorithm optimizes the location and size of the SVC. The effectiveness of the proposed work is tested in IEEE-30 Bus test system. It has also been observed that the proposed algorithm can be applied to larger systems and do not suffer with computational difficulties. The obtained results show that the allocation of SVC device with the proposed method considerably enhanced the voltage stability and reduce installation cost.
  • 关键词:FACTS devices; Optimal Sizing; Genetic Algorithm; SVC; Installation Cost; ; Voltage Profile
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