Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2007.07a
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- Pages.850-851
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- 2007
An Improved Particle Swarm Optimization for Economic Dispatch Problems with Prohibited Operating Zones
경제급전 문제에의 개선된 PSO 알고리즘 적용
- Jeong, Yun-Won (Dept. of Electrical Engineering, Konkuk University) ;
- Lee, Woo-Nam (Dept. of Electrical Engineering, Konkuk University) ;
- Kim, Hyun-Houng (Dept. of Electrical Engineering, Konkuk University) ;
- Park, Jong-Bae (Dept. of Electrical Engineering, Konkuk University) ;
- Shin, Joong-Rin (Dept. of Electrical Engineering, Konkuk University)
- Published : 2007.07.18
Abstract
This paper presents an efficient approach for solving the economic dispatch (ED) problems with prohibited operating zones using an improved particle swarm optimization (PSO). Although the PSO-based approaches have several advantages suitable to the heavily constrained nonconvex optimization problems, they still have the drawbacks such as local optimal trapping due to the premature convergence (i.e., exploration problem) and insufficient capability to find nearly-by extreme points (i.e., exploitation problem). This paper proposes an improved PSO framework adopting a crossover operation scheme to increase both exploration and exploitation capability of the PSO. The proposed method is applied to ED problem with prohibited operating zones. Also, the results are compared with those of the state-of-the-art methods.
Keywords