Abstract
Scheduling generator units in a power system to meet customer demand at minimum cost is a key activity for power utilities. Finding efficient solution methods for this problem continues to be an active area of research. This paper reviews the implementation of genetic algorithms (GAs) for the unit commitment/economic dispatch problem. In particular we focus on the solution representation, fitness evaluation and genetic operators which have been employed in recent studies.
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© 1997 B. G. Teubner Stuttgart
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Aldridge, C.J., Mckee, S., McDonald, J.R. (1997). Genetic algorithm methodologies for scheduling electricity generation. In: Brøns, M., Bendsøe, M.P., Sørensen, M.P. (eds) Progress in Industrial Mathematics at ECMI 96. European Consortium for Mathematics in Industry, vol 9. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-96688-9_42
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DOI: https://doi.org/10.1007/978-3-322-96688-9_42
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
Print ISBN: 978-3-322-96689-6
Online ISBN: 978-3-322-96688-9
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