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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

Page(s):
433 - 438
Meeting Date :
02 Sep 1997-04 Sep 1997
ISSN :
0537-9989
Print ISBN:
0-85296-693-8
INSPEC Accession Number:
5780821
Conference Location :
Glasgow
Digital Object Identifier :
10.1049/cp:19971219
Product Type:
Conference Publications

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