Article

A multi-objective chaotic particle swarm optimization for environmental/economic dispatch

School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan; Electric Power College, South China University of Technology, Guangzhou 510640, China; Research Center of Building Energy Efficiency, State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China; Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Energy Conversion and Management DOI:10.1016/j.enconman.2009.01.013 pp.1318-1325

ABSTRACT 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.

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    Sensors 01/2011; 11(5):4721-43. · 1.74 Impact Factor
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Keywords

compromising minimum fuel cost
 
conventional MOPSO method
 
conventional multi-objective particle swarm optimization
 
economic effects
 
effective alternative approach
 
emission case
 
environmental issues
 
environmental/economic dipatch
 
fuel cost
 
higher quality solutions
 
minimum emission case
 
minimum fuel cost case
 
MOCPSO
 
MOCPSO method
 
multi-objective chaotic particle swarm optimization
 
pollutant emission
 
proposed MOCPSO method
 
test power systems
 
test system 1
 
test system 2