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optimal power flow using genetic algo-optimal power flow using genetic algo..
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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
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optimal power flow using Genetic algorithm
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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.
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OPTIMAL POWER FLOW WITH TCSC USING GENETIC ALGORITHM
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A New Attempt to Optimize Optimal Power Flow
based Transmission Losses using Genetic Algorithm
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optimal power flow using genetic algorithm-optimal power flow using genetic algorithm
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用遗传算法实现基于最优潮流的负荷消减，并据此进行可靠性计算。-Genetic algorithm based on optimal power flow load reduction and reliability calculations accordingly.
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利用遗传算法解决电力系统最优潮流问题。程序opf1为最优潮流的模型建立部分，gaopf是主函数，求解最小燃料费用。-By using the genetic algorithm to solve the power system optimal power flow problem.Program opf1 for optimal power flow model is established in this part, gaopf is the main function, and solvi
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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 suitab
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genetic algorithm based optimal power flow solution
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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
-Hybrid optimization algorithm based on genetic algorithm and Nonlinear Programming Optimal Power Flow Calculation
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genetic algorithm for optimal power flow code in matlab
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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.)
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optimal power flow using genetic algorithm
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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)
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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 )
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