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AFDPF

于 2014-10-11 发布文件大小:31KB

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孤岛检测主动式方法SFS算法的matlab仿真(SFS islanding detection method simulation algorithm)

文件列表：

AFDPF
.....\afdPF.m,2405,2014-07-15
.....\AFDPF.mdl,63364,2014-05-26
.....\AFDPF.mdl.autosave,92825,2014-05-30

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The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units

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