Unit commitment using a new integer coded genetic algorithm

This paper proposes a new Integer‐Coded Genetic Algorithm (ICGA) for the solution of the thermal unit commitment problem. The thermal generating units scheduling consists of the sequence of operation/reservation times of the generating units, which is coded into a sequence of alternating sign intege...

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Veröffentlicht in:	European transactions on electrical power Jg. 19; H. 8; S. 1161 - 1176
Hauptverfasser:	Amjady, Nima, Shirzadi, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Chichester, UK John Wiley & Sons, Ltd 01.11.2009 Wiley
Schlagworte:	Applied sciences Cost engineering crossover Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Genetic algorithms integer-coded genetic algorithm Integers mutation Mutations Operation. Load control. Reliability Operators Power networks and lines Robustness Scheduling Unit commitment Performance evaluation Dispatching problem mutation crossover integer-coded genetic algorithm unit commitment Stopping time Genetic algorithm Power distribution planning Effectiveness factor Comparative study
ISSN:	1430-144X, 1546-3109
Online-Zugang:	Volltext
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