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Unit commitment for power systems using a heuristically augmented genetic algorithm

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3 Author(s)
Aldridge, C.J. ; Strathclyde Univ., Glasgow, UK ; McDonald, J.R. ; McKee, S.

Scheduling the generating units in a power system presents a highly constrained combinatorial problem. This paper discusses the solution of the unit commitment/economic dispatch problem using a GA augmented with heuristic knowledge to select the initial population and evaluate the fitness function. The augmented GA is applied to a test system and computational results are presented

Published in:

Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)

Date of Conference:

2-4 Sep 1997