Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 77, Issue 12, Pages 1654-1664Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2006.11.012
Keywords
multi-objective optimization; particle swarm optimization; environmental/economic power dispatch; local/global search; constraint satisfaction
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The environmental issues that arise from the pollutant emissions produced by fossil-fueled electric power plants have become a matter of concern more recently. The conventional economic power dispatch cannot meet the environmental protection requirements, since it only considers minimizing the total fuel cost. The multi-objective generation dispatch in electric power systems treats economic and emission impact as competing objectives. which requires some reasonable tradeoff among objectives to reach an optimal solution. In this paper, a fuzzified multi-objective particle swarm optimization (FMOPSO) algorithm is proposed and implemented to dispatch the electric power considering both economic and environmental issues. The effectiveness of the proposed approach is demonstrated by comparing its performance with other approaches including weighted aggregation (WA) and evolutionary multi-objective optimization algorithms. All the simulations are conducted based on a typical test power system. (C) 2006 Elsevier B.V. All rights reserved.
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