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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
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

C. Chiang, "Genetic Algorithm for Static Power Economic Dispatch," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 646-650.
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