Description: 用遗传算法编的求解最优潮流的目标函数和住程序-Optimal Power Flow with genetic algorithm programmed objective function and live program Platform: |
Size: 3072 |
Author:孙文文 |
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Description: An Initialization Procedure in Solving Optimal
Power Flow by Genetic Algorithm.With this procedure, one can start the optimization process (i.e., genetic algorithm) with a set of control variables, causing few or no violations of constraints. Platform: |
Size: 9216 |
Author:Praveen |
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Description: A New Attempt to Optimize Optimal Power Flow
based Transmission Losses using Genetic Algorithm Platform: |
Size: 185344 |
Author:arneb |
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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: 考虑了传统变压器的优化潮流，基于此利用遗传算法对IEEE14节点系统进行优化调度。(The optimal power flow of the traditional transformer is considered. Based on this, the genetic algorithm is used to optimize the scheduling of the IEEE14 node system.) Platform: |
Size: 5120 |
Author:期望中国
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Description: 基于遗传算法和非线性规划寻优混合算法的电力系统最优潮流计算(Optimal power flow calculation of power system based on hybrid algorithm of genetic algorithm and nonlinear programming optimization) Platform: |
Size: 19456 |
Author:naijgnaw1978
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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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