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  • 标题:Particle Swarm Optimization Applications to Static Security Enhancement Using Multi Type Facts Devices
  • 本地全文:下载
  • 作者:S. Sutha ; N. Kamaraj
  • 期刊名称:Journal of Artificial Intelligence
  • 印刷版ISSN:1994-5450
  • 电子版ISSN:2077-2173
  • 出版年度:2008
  • 卷号:1
  • 期号:1
  • 页码:34-43
  • DOI:10.3923/jai.2008.34.43
  • 出版社:Asian Network for Scientific Information
  • 摘要:This study presents the application of particle swarm optimization algorithm to find the optimal location of multi type FACTS devices in a power system in order to eliminate or alleviate the line over loads. The optimizations are performed on the parameters, namely, the location of the devices, their types, their settings and installation cost of FACTS devices for double contingencies. The selection of UPFC and TCSC suitable location uses the criteria on the basis of improved system security. The effectiveness of the proposed method is tested for IEEE 6 bus and IEEE 30 bus test systems.
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