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

Authors: S. Golestani; M. Raoofat; E. farjah;

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

Abstract

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 computation time significantly. Here, the proposed ICGA has been enhanced by using perturbation operator. Simulation results for six-bus test system exhibit the effectiveness of the proposed approach.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
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