Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2006.11a
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- Pages.198-200
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- 2006
Development of an Educational Simulator of Particle Swarm Optimization: Application to Economic Dispatch Problems
교육용 PSO 시뮬레이터의 개발: 경제급전에의 적용
- Lee, Woo-Nam (Dept. of Electrical Engineering, Konkuk University) ;
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Jeong, Yun-Won
(Dept. of Electrical Engineering, Konkuk University) ;
- Lee, Joo-Won (Dept. of Electrical Engineering, Konkuk University) ;
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Park, Jong-Bae
(Dept. of Electrical Engineering, Konkuk University) ;
- Shin, Joong-Rin (Dept. of Electrical Engineering, Konkuk University)
- Published : 2006.11.03
Abstract
This paper presents a development of an educational simulator of particle swarm optimization (PSO) and application for solving the test functions and economic dispatch (ED) problems with nonsmooth cost functions. A particle swarm optimization is one of the most powerful methods for solving global optimization problems. It is a population-based search algorithm and searches in parallel using a group of particles similar to other AI-based heuristic optimization techniques. In developed simulator, lecturers and students can select the functions for simulation and set the parameters that have an influence on PSO performance. To improve searching capability for ED problems, a crossover operation is proposed to the position update of each individual (CR-PSO). To verify the feasibility of CR-PSO method, numerical studies have been performed for two different sample systems. The proposed CR-PSO method outperforms other algorithms in solving ED problems.
Keywords