An improved integer coded genetic algorithm for security constrained unit commitment problem

This paper presents a novel approach to solve the security constrained unit commitment problem using decomposition technique. The method applies an improved integer coded genetic algorithm (ICGA) to schedule the commitment states of units. ICGA technique reduces the size of chromosomes and computati...

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Veröffentlicht in:	2008 IEEE 2nd International Power and Energy Conference S. 1251 - 1255
Hauptverfasser:	Golestani, S., Raoofat, M., Farjah, E.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2008
Schlagworte:	Cost function Dynamic programming Genetic algorithms Integer Coded Genetic Algorithm (ICGA) Lagrangian functions Large-scale systems Perturbation operator Power generation Power system dynamics Power system security Power system simulation Production Security Constrained Unit Commitment (SCUC)
ISBN:	1424424046, 9781424424047
Online-Zugang:	Volltext
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