대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2008년도 추계학술대회 논문집 전력기술부문
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- Pages.261-263
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- 2008
PSO기법을 이용한 전력계통의 상태추정해법과 불량정보처리에 관한 연구
A Study on Power System State Estimation and bad data detection Using PSO
- Ryu, Seung-Oh (Pusan National University) ;
- Jeong, Hee-Myung (Pusan National University) ;
- Park, June-Ho (Pusan National University) ;
- Lee, Hwa-Seok (Dong-Eui Institute of Technology)
- 발행 : 2008.11.07
초록
In power systems operation, state estimation takes an important role in security control. For the state estimation problem, the weighted least squares(WLS) method and the fast decoupled method have been widely used at present. But these algorithms have disadvantage of converging local optimal solution. In these days, a modern heuristic optimization method such as Particle Swarm Optimization(PSO), are introduced to overcome the problems of classical optimization. In this paper, we proposed particle swarm optimization (PSO) to search an optimal solution of state estimation in power systems. To demonstrate the usefulness of the proposed method, PSO algorithm was tested in the IEEE-57 bus systems. From the simulation results, we can find that the PSO algorithm is applicable for power system state estimation.
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