Journal
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Volume 32, Issue 5, Pages 337-344Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2010.01.006
Keywords
Chaotic ant swarm optimization; Environmental/economic dispatch; Multi-objective optimization; Ant colony algorithm; 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 [2007CB310704]
- 111 Project [B08004]
- Research Grant Council of Hong Kong (RGC) [60731160626]
Ask authors/readers for more resources
Since the environmental issues caused by the pollutant emissions from fossil-fueled power plants are concerned, it is necessary to develop the conventional economic dispatch (ED) into environmental/economic dispatch (EED) which considers both economic and environmental issues. This paper developed a multi-objective chaotic ant swarm optimization (MOCASO) method for solving the multi-objective EED problems of thermal generators in power systems. The proposed MOCASO method was applied to three test power systems. Simulation results demonstrated that the MOCASO method can obtain feasible and effective solutions and it is a promising alternative approach for solving the EED problems in practical power systems. (C) 2010 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
