대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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- Pages.222-224
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- 2006
PSO알고리즘에 기초한 발전기 보수정지
Generating unit Maintenance Scheduling based on PSO Algorithm
- Park, Young-Soo (Pusan National University) ;
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Kim, Jin-Ho
(Pusan National University) ;
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Park, June-Ho
(Pusan National University)
- 발행 : 2006.11.03
초록
This paper addresses a particle swarm optimization-based approach for solving a generating unit maintenance scheduling problem(GMS) with some constraints. We focus on the power system reliability such as reserve ratio better than cost function as the objective function of GMS problem. It is shown that particle swarm optimization-based method is effective in obtaining feasible schedules such as GMS problem related to power system planning and operation. In this paper, we find the optimal solution of the GMS problem within a specific time horizon using particle swarm optimization algorithm. Simple case study with 16-generators system is applicable to the GMS problem. From the result, we can conclude that PSO is enough to look for the optimal solution properly in the generating unit maintenance scheduling problem.
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