Optimal Distribution Network Reconfiguration Using Dynamic Fuzzy Based Genetic Algorithm

被引：0
|
作者：
Asrari, Arash [1 ]
Lotfifard, Saeed [1 ]
机构：
[1] Univ Cent Florida, Dept Elect Engn & Comp Sci, Orlando, FL 32816 USA
来源：
2014 IEEE INNOVATIONS IN TECHNOLOGY CONFERENCE (INNOTEK) | 2014年
关键词：
network reconfiguration; sectionalizing and tie switches; power loss; genetic algorithm (GA); crossover; mutation; trial and error process; fuzzy membership function; LOSS MINIMIZATION; NEURAL-NETWORK; CROSSOVER; MUTATION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Optimal reconfiguration of power distribution systems is a complex combinatorial optimization problem with the purpose of identifying a radial network that optimizes given objectives. In this paper, a dynamic fuzzy-based genetic algorithm is presented to find an optimal configuration for the distribution networks that minimizes the total power loss of the network. The efficiency of the proposed algorithm is demonstrated by its application on a 33-bus distribution system. The simulation results demonstrate the superior performance of the proposed method compared to the classic genetic algorithm based methods.
引用
收藏
页数：7
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