Optimal capacitor placement in distribution systems using a combination fuzzy-GA method

被引：54

作者：

Hsiao, YT ^{[1
]}

Chen, CH ^{[1
]}

Chien, CC ^{[1
]}

机构：

[1] Tamkang Univ, Dept Elect Engn, Taipei, Taiwan

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2004年 / 26卷 / 07期

关键词：

capacitor placement; genetic algorithms; fuzzy satisfying method; multi-objective optimization;

D O I：

10.1016/j.ijepes.2004.01.002

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 [电气工程]; 0809 [电子科学与技术];

摘要：

This work presents a combination fuzzy-GA method to resolve the capacitor placement problem. The problem formulation considers three distinct objective functions related to minimize the total cost for energy loss and capacitors to be installed, as well as decreasing the deviation of bus voltage and improving the margin loading of feeders. The novel formulation is a multi-objective and non-differentiable optimization problem. These objective functions are first formulated in fuzzy sets to assess their imprecise nature before introducing a fuzzy satisfying method based on the GA to derive the optimal solution. The proposed approach is implemented in a software package and its effectiveness is verified through numerical examples on the Tai-power system. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：501 / 508

页数：8

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