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Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 646-650
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.
Power system, economic dispatch, Genetic algorithm
Chao-Lung Chiang, "Genetic Algorithm for Static Power Economic Dispatch", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 646-650, doi:10.1109/CSIE.2009.440
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