Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 50, Issue 5, Pages 1318-1325Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2009.01.013
Keywords
Chaotic particle swarm optimization; Environmental/economic dispatch; Multi-objective optimization; Swarm intelligence
Categories
Funding
- National Natural Science Foundation of China [60673098]
- Specialized Research Fund for the Doctoral Program of Higher Education [20070013005]
- National Basic Research Program of China (973 Program) [2007CB310704]
- 111 Project [B08004]
- National Natural Science Foundation of China (NSFC)
- Research Grant Council of Hong Kong (RGC) joint Research Scheme [60731160626]
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A multi-objective chaotic particle swarm optimization (MOCPSO) method has been developed to solve the environmental/economic dipatch (EED) problems considering both economic and environmental issues. The proposed MOCPSO method has been applied in two test power systems. Compared with the conventional multi-objective particle swarm optimization (MOPSO) method, for the compromising minimum fuel cost and emission case, the fuel cost and pollutant emission obtained from MOCPSO method can be reduced about 50.08 $/h and 2.95 kg/h, respectively, in test system 1, about 0.02 $/h and 1.11 kg/h, respectively, in test system 2. The MOCPSO method also results in higher quality solutions for the minimum fuel cost case and the minimum emission case in both of the test power systems. Hence, MOCPSO method can result in great environmental and economic effects. For EED problems, the MOCPSO method is more feasible and more effective alternative approach than the conventional MOPSO method. (C) 2009 Elsevier Ltd. All rights reserved.
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