CSO algorithm for economic dispatch decision of hybrid generation system

Authors:
Jong-Ching Hwang;Jung-Chin Chen;Jeng-Shyang Pan;Yi-Chao Huang
Affiliations:
Dept. of Electrical Eng., National Kaohsiung University of Applied Sciences, Taiwan;Dept. of Electrical Eng., National Kaohsiung University of Applied Sciences, Taiwan;Dept. of Electronic Eng., National Kaohsiung University of Applied Sciences, Taiwan;Dept. of Industrial Management, Pingtung University of Science and Technology, Taiwan
Venue:
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
Year:
2010

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Abstract

The aim of this research is to study the optimal economic dispatch (ED) through Cat Swarm Optimization (CSO) algorithm. Several techniques are applied to determine the proportion of wind generator capacity that can be integrated into an isolated system. The CSO is also extended to coordinate wind and thermal dispatch and to minimize total generation cost. Numerical experiments are included to demonstrate various constraints in production cost analysis and to provide valuable information for both operational and planning problems in the Taiwan power system.