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Fuzzy PSO Congestion Management using Sensitivity-Based Optimal Active Power Rescheduling of Generators
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  • Fuzzy PSO Congestion Management using Sensitivity-Based Optimal Active Power Rescheduling of Generators
  • Fuzzy PSO Congestion Management using Sensitivity-Based Optimal Active Power Rescheduling of Generators
저자명
Venkaiah. Ch,Vinod Kumar. D M
간행물명
Journal of electrical engineering & technology
권/호정보
2011년|6권 1호|pp.32-41 (10 pages)
발행정보
대한전기학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

This paper presents a new method of Fuzzy Particle Swarm Optimization (FPSO)-based Congestion Management (CM) by optimal rescheduling of active powers of generators. In the proposed method, generators are selected based on their sensitivity to the congested line for efficient utilization. The task of optimally rescheduling the active powers of the participating generators to reduce congestion in the transmission line is attempted by FPSO, Fitness Distance Ratio PSO (FDR-PSO), and conventional PSO. The FPSO and FDR-PSO algorithms are tested on the IEEE 30-bus and Practical Indian 75-bus systems, after which the results are compared with conventional PSO to determine the effectiveness of CM. Compared with FDR-PSO and PSO, FPSO can better perform the optimal rescheduling of generators to relieve congestion in the transmission line.