Multiobjective distributed generation placement using fuzzy goal programming with genetic algorithm

被引：59

作者：

Kim, Kyu-Ho ^{[2
]}

Song, Kyung-Bin ^{[3
]}

Joo, Sung-Kwan ^{[1
]}

Lee, Yu-Jeong ^{[4
]}

Kim, Jin-O ^{[4
]}

机构：

[1] Korea Univ, Sch Elect Engn, Seoul 136701, South Korea

[2] Ansan Coll Technol, Dept Elect Engn, Kyonggi Do 425792, South Korea

[3] Soongsil Univ, Dept Elect Engn, Seoul 156743, South Korea

[4] Hanyang Univ, Dept Elect Engn, Seoul 133791, South Korea

来源：

EUROPEAN TRANSACTIONS ON ELECTRICAL POWER | 2008年 / 18卷 / 03期

关键词：

Distributed Generation (DG); Fuzzy Goal Programming (FGP); Genetic Algorithm (GA);

D O I：

10.1002/etep.226

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 ; 0809 ;

摘要：

This paper presents a new method to determine the locations and sizes of Distributed Generations (DGs) for loss reduction and voltage profile enhancement in distribution systems. The strategic placement of DG can help reduce power losses and improve feeder voltage profile. Fuzzy Goal Programming (FGP) is adopted to handle the multiobjective DG placement problem incorporating the voltage characteristics of each individual load component. The original objective functions and constraints are transformed into the multiobjective function with fuzzy sets by FGP. The transformed multiobjective function with fuzzy sets represents the imprecise natures for criterion of loss reduction and voltage profile enhancement, and the number and total capacities of DGs. The solution of the transformed multiobjective function with fuzzy sets is searched by Genetic Algorithm (GA). The proposed method is tested on the IEEE 34-bus system to demonstrate its effectiveness. Copyright (C) 2008 John Wiley & Sons, Ltd.

引用

页码：217 / 230

页数：14

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