Unit Commitment optimization using improved Genetic Algorithm

This paper shows an investigation for solving the Thermal Unit Commitment (UC) problem by utilizing of Genetic Algorithm advantages. A Parallel Structure was developed to handle the infeasibility problem in a structured and improved Genetic Algorithm (GA) which provides an effective search and there...

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Veröffentlicht in:	2009 IEEE Bucharest Power Tech S. 1 - 6
Hauptverfasser:	Abookazemi, K., Mustafa, M.W.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2009
Schlagworte:	Costs Fuels Genetic Algorithm Genetic algorithms Iterative methods Job shop scheduling Measurement units Parallel Structure Performance evaluation Power generation Power systems System testing Unit Commitment
ISBN:	9781424422340, 1424422345
Online-Zugang:	Volltext
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