Enhanced Genetic Algorithm based computation technique for multi-objective Optimal Power Flow solution-Reference-Cited by-同舟云学术

Enhanced Genetic Algorithm based computation technique for multi-objective Optimal Power Flow solution

Published:2010-07 Issue:6 Volume:32 Page:736-742
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Kumari M. Sailaja,Maheswarapu Sydulu

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference13 articles.

1. Wood Allen J, Bruce F. Power generation operation and control. Wollenberg: John Wiley & Sons, Inc.

2. Optimal power flow by enhanced genetic algorithm;Petridis;IEEE Trans Power Syst,2002

3. Multi-objective optimization using evolutionary algorithms;Bakirtzis,2001

4. Sbalzarini Ivo F, Muller Sibylle, Koumoutsakos Petros. Multiobjective optimization using evolutionary algorithms. Center for Turbulence Research, Proceedings of the summer program; 2000.

5. Improved genetic algorithms for optimal power flow under both normal and contingent operation states;Lai;Electric Power Energy Syst,1997

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