Tarek BOUKTIR, Linda SLIMANI and M. BELKACEMI (2004) A Genetic Algorithm for Solving the Optimal Power Flow Problem

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A Genetic Algorithm for Solving the Optimal Power Flow Problem

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CONTRIBUTORS:

	Author:	Tarek BOUKTIR
	Author:	Linda SLIMANI
	Author:	M. BELKACEMI

JOURNAL:

Leonardo Journal of Sciences, 3(4), 44 - 58.

YEAR:

2004

PUB TYPE:

Journal Article

SUBJECT(S):

None

DISCIPLINE:

Engineering and Applied Sciences

HTTP:

http://ljs.academicdirect.org/A04/44_58.pdf

LANGUAGE:

English

PUB ID:

103-435-589 (Last edited on 2007/06/28 01:41:13 GMT-6)

SPONSOR(S):

ABSTRACT:
This paper presents solution of optimal power flow problem of large distribution systems via a simple genetic algorithm. The objective is to minimize the fuel cost and keep the power outputs of generators, bus voltages, shunt capacitors/reactors and transformers tap-setting in their secure limits. CPU times can be reduced by decomposing the optimization constraints to active constraints manipulated directly by the genetic algorithm, and passive constraints maintained in their soft limits using a conventional constraint load flow. The IEEE 30-bus system has been studied to show the effectiveness of the algorithm.

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