Economic Dispatch Problem Based on Improved Particle Swarm Optimization
An improved particle swarm optimization (IPSO) is used to solve economic dispatch problem (EDP). The IPSO has two position updating strategies. In the early stage of iteration, the individual in the population updates the position according to its own best experience with a large probability. In t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Eastern Macedonia and Thrace Institute of Technology
2014-01-01
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| Series: | Journal of Engineering Science and Technology Review |
| Subjects: | |
| Online Access: | http://www.jestr.org/downloads/Volume7Issue1/fulltext217114.pdf |
| Summary: | An improved particle swarm optimization (IPSO) is used to solve economic dispatch problem (EDP). The IPSO has two
position updating strategies. In the early stage of iteration, the individual in the population updates the position according
to its own best experience with a large probability. In the later stage of iteration, the individual updates the position
according to the best experience in the population with a large probability. In addition, the IPSO introduces a mutation
operator after position updating, which can increase the diversity of population and prevent the premature convergence.
IPSO has been used to solve EDP with valve point effect. The experimental results show that IPSO is an effective
algorithm to solve EDP. |
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| ISSN: | 1791-2377 1791-2377 |