Genetic Algorithm based Optimal Allocation of a Distributed Generator in a Radial Distribution Feeder

被引:0
作者
Prasanna, Maruthi H. A. [1 ]
Kumar, Likith M. V. [1 ]
Ananthapadmanabha, T. [1 ]
机构
[1] Natl Inst Engn, Dept EEE, Mysore, Karnataka, India
来源
2014 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2014) | 2014年
关键词
Distribution System; Distributed Generation; TENVD Index; PLR Index; Genetic Algorithm; BENEFITS;
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
This paper proposes a multi objective optimization method to determine optimal allocation of a distributed generation (DG) unit in a radial distribution feeder. The DG allocation problem has been formulated as multi objective function which includes two objectives: viz Power Loss Reduction and Tail End Node Voltage Improvement with associated weights. The proposed methodology uses Genetic Algorithm to optimize the multi objective function. This method is tested on standard IEEE 33 bus and 69 bus radial distribution systems using MATLAB 8.0. The results show that the proposed method yields considerable tail end node voltage improvement along with significant reduction in line losses.
引用
收藏
页码:184 / 190
页数:7
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