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  • 标题:OPTIMAL DESIGN OF SVC-PI CONTROLLER FOR DAMPING IMPROVEMENT USING NEW COMPUTATIONAL INTELLIGENCE APPROACH
  • 本地全文:下载
  • 作者:N. A. M. KAMARI ; I. MUSIRIN ; Z. A. HAMID
  • 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:2012
  • 卷号:42
  • 期号:2
  • 页码:271-280
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This paper presents an optimal design of a Static Var Compensator (SVC) for damping improvement of a Single Machine Infinite Bus (SMIB) system. In this study, SVC is installed to improve the angle stability of a synchronous generator. A new computational intelligence approach using Mutated Particle Swarm Optimization (MPSO) technique is implemented. The study involves the optimization of the proportional gain, KP and interval gain, KI parameters of PI controller. Results are based on damping ratio as an objective function. Results based on MPSO technique are compared with other widely used optimization techniques. From the results, it is found that the proposed technique is very effective to reduce the damping problem which indicates that stability has been achieved.
  • 关键词:Small Signal Stability; Damping Ratio; Particle Swarm Optimization; Evolutionary Programming; Artificial Immune System
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