Application of optimization algorithm on simulating the fisher fishing in multi-objective optimal reactive power

Optimization algorithm on simulating the fisher fishing (SFOA) is a novel optimization algorithm, which is presented based on simulating the behavior and habit of fisher's fishing. By studying the algorithm, it is used for solving the power system multi-objective reactive power optimization(ORP...

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Bibliographic Details
Published inDianli Xitong Baohu yu Kongzhi Vol. 39; no. 21; pp. 115 - 125
Main Authors Wang, Ru-Tian, Yang, Yan-Liang, Wang, Bin, Zeng, Shu-Zhen
Format Journal Article
LanguageChinese
Published 01.11.2011
Subjects
Algorithms
Computer simulation
Cubes
Fishing
Optimization
Reactive power
Searching
Voltage
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Summary:Optimization algorithm on simulating the fisher fishing (SFOA) is a novel optimization algorithm, which is presented based on simulating the behavior and habit of fisher's fishing. By studying the algorithm, it is used for solving the power system multi-objective reactive power optimization(ORP) problem. The model of ORP includes line loss and average voltage offset as optimal target, and the method that can transform target function to constraint based on user reference region is proposed. ORP is an optimization problem with multi-variable, and optimization speed of SFOA would be restricted. So the method of random initialization in the cube is adopted, which simplifies the moving search and shrinking search in the cube and improve searching speed. The simulation results for IEEE-30 nodes and IEEE-57 nodes system show that SFOA has global search performance and steady convergence rates, which can improve the economics and safety of power system effectively.
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ISSN:1674-3415