KFUPM ePrints

A new genetic algorithm approach for unit commitment

Mantawy, A.H. and Abdel-Magid, Y.L. and Selim, S.Z. (1997) A new genetic algorithm approach for unit commitment. Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446), 1.

[img]
Preview
PDF
18Kb
[img]Microsoft Word
26Kb

Abstract

This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. A fitness function is constructed from the total operating cost of the generating units without penalty terms. Genetic operators are implemented to enhance the search speed and to save memory space. The problem under consideration includes two linked subproblems: a combinatorial optimization problem and a nonlinear programming problem. The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. Numerical results showed an improvement in the solutions costs compared to the results reported in the literature



Item Type:Article
Date:September 1997
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Mantawy, A.H. and Abdel-Magid, Y.L. and Selim, S.Z.
ID Code:14247
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:28
Last Modified:12 Apr 2011 13:15

Repository Staff Only: item control page