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Description: optimal power flow using Genetic algorithm
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Size: 9216 |
Author: bdurgaharikiran |
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Description: 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.
KEYWORDS: optimal power flow, genetic algorithm, GA-Fuzzy approach
Authors
Platform: |
Size: 442368 |
Author: rezwan |
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Description: Ga based opf complete
Platform: |
Size: 46080 |
Author: Rashid |
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Description: 基于GA优化工具箱的优化潮流计算，遗传算法(This program solves the OPF by Matlab GA tool box)
Platform: |
Size: 51200 |
Author: 小茶柚
|
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Description: Optimal Power flow(OPF) is allocating loads to plants for minimum cost while meeting the network constraints. It is formulated as an optimization problem of minimizing the total fuelvcost of all committed plant while meeting the network(power flow ) constraints. The variants of the problems are numerous which model the objective and the constraints in different ways
Platform: |
Size: 57344 |
Author: jmjmjm |
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