Optimal power flow (OPF) is one of the nonlinear problems of power system. The various algorithms for solving optimal power flow problem are found in the literature. The genetic algorithm (GA) based solution techniques are found to be most suitable because of their ability of simultaneous multidimensional search for optimal solution. This paper presents a novel GA-Fuzzy based approach for solving OPF. The GA parameters e.g. crossover and mutation probabilities are governed by fuzzy rule base. Algorithms for GA-OPF and GA-Fuzzy (GAF) OPF are developed and compared. The results obtained for these systems demonstrate that the GAF-OPF has faster convergence and lesser generation costs as compared to various methods tested for above systems.
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Optimal Power Flow Solution: a GA-Fuzzy System Approach
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1Dayalbagh Educational Institute (Deemed University)
1Dayalbagh Educational Institute (Deemed University)
1Dayalbagh Educational Insitute (Deemed University)
Citation Information: International Journal of Emerging Electric Power Systems. Volume 5, Issue 2, Pages –, ISSN (Online) 1553-779X, DOI: 10.2202/1553-779X.1091, April 2006
Publication History:
- Published Online:
- 2006-04-03
Keywords: optimal power flow; genetic algorithm; GA-Fuzzy approach
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