A genetic algorithm for generator scheduling in power systems

This paper presents a genetic algorithm based approach to the scheduling of generators in a power system. All the usual unit commitment constraints including ramp rates are considered. An enhanced genetic algorithm incorporating a sequential decomposition logic is used to provide a faster search mec...

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Bibliographic Details
Published in:International journal of electrical power & energy systems 1996, Vol.18 (1), p.19-26
Main Authors: Orero, S.O., Irving, M.R.
Format: Article
Language:English
Subjects:
Applied sciences
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
generator scheduling
genetic algorithms
Operation. Load control. Reliability
Power networks and lines
unit commitment
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Summary:This paper presents a genetic algorithm based approach to the scheduling of generators in a power system. All the usual unit commitment constraints including ramp rates are considered. An enhanced genetic algorithm incorporating a sequential decomposition logic is used to provide a faster search mechanism. The main advantage of the genetic algorithm formulation is that fairly accurate results can be obtained with a very simple algorithm. The algorithm has been tested on a power system with 26 generators.
ISSN:0142-0615
1879-3517
DOI:10.1016/0142-0615(94)00017-4