Application of Modified Bacterial Foraging Optimization algorithm for optimal placement and sizing of Distributed Generation

被引：103
作者：
Devi, S. [1 ]
Geethanjali, M. [2 ]
机构：
[1] Natl Coll Engn, Dept EEE, Maruthakulam 627151, India
[2] Thiagarajar Coll Engn, Dept EEE, Madurai 625015, Tamil Nadu, India
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2014年 / 41卷 / 06期
关键词：
Bacterial Foraging Optimization (BFO) algorithm; Modified Bacterial Foraging Optimization (MBFO) algorithm; Distributed Generation (DG) sizing and placement; PARTICLE SWARM OPTIMIZATION; DG ALLOCATION;
D O I：
10.1016/j.eswa.2013.10.010
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new approach in Bacterial Foraging Optimization algorithm is proposed to reduce the total power loss and to improve the voltage profile of the radial distribution systems, in the presence of Distributed Generation unit. The proposed method aims to modify the performance of the Bacterial Foraging Optimization algorithm. The test results obtained from Modified Bacterial Foraging Optimization algorithm are also compared and found to be better and in close agreement with the Bacterial Foraging Optimization algorithm. The achievability and convenience of the optimization methods proposed have been demonstrated on 12-bus, 34-bus, and 69-bus radial distribution system consisting of 11, 33, and 68 sections, respectively. MATLAB, Version 7.10 software is used for simulation. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2772 / 2781
页数：10
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