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Genetic Algorithm for Static Power Economic Dispatch

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1 Author(s)
Chao-Lung Chiang ; Electron. Eng. Dept., Nan Kai Univ. of Technol., Nan Ton, Taiwan

This research presents an improved genetic algorithm (IGA) to solve static power economic dispatch (SPED) problems of units with valve-point effects and multiple fuels. Few SPED problems related studies have seldom addressed both valve-point loadings and change fuels. The proposed algorithm was compared with the conventional genetic algorithm (CGA), revealing that the proposed IGA is more effective than the CGA, and applies the realistic SPED problem more efficiently than does the CGA.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:4 )

Date of Conference:

March 31 2009-April 2 2009