Title of article :
Application of Modified Bacterial Foraging Optimization algorithm for optimal placement and sizing of Distributed Generation
Author/Authors :
Devi، نويسنده , , S. and Geethanjali، نويسنده , , M.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
10
From page :
2772
To page :
2781
Abstract :
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.
Keywords :
Modified Bacterial Foraging Optimization (MBFO) algorithm , Bacterial Foraging Optimization (BFO) algorithm , Distributed Generation (DG) sizing and placement
Journal title :
Expert Systems with Applications
Serial Year :
2014
Journal title :
Expert Systems with Applications
Record number :
2354578
Link To Document :
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