Bacterial graphical user interface oriented by particle swarm optimization strategy for optimization of multiple type DFACTS for power quality enhancement in distribution system

作     者：M.Mohammadi M.Montazeri S.Abasi 

作者机构：Department of Electrical Engineering Borujerd Branch Islamic Azad University Borujerd Iran 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2017年第24卷第3期

页      面：569-588页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Project supported by Borujerd Branch Islamic Azad University Iran 

主　　题：distribution system power quality single type and multiple type DFACTS BFO algorithm particle swarm optimization(PSO) 

摘      要：This study proposes a graphical user interface(GUI) based on an enhanced bacterial foraging optimization(EBFO) to find the optimal locations and sizing parameters of multi-type DFACTS in large-scale distribution *** proposed GUI based toolbox,allows the user to choose between single and multiple DFACTS allocations,followed by the type and number of them to be *** EBFO is then applied to obtain optimal locations and ratings of the single and multiple *** is found to be faster and provides more accurate results compared to the usual PSO and *** obtained with MATLAB/Simulink simulations are compared with PSO,BFO and enhanced *** reveals that enhanced BFO shows quick convergence to reach the desired solution there by yielding superior solution *** results concluded that the EBFO based multiple DFACTS allocation using DSSSC,APC and DSTATCOM is preferable to reduce power losses,improve load balancing and enhance voltage deviation index to 70%,38% and 132% respectively and also it can improve loading factor without additional power loss.