Bacterial graphical user interface oriented by particle swarm optimization strategy for optimization

• 作 者: M.Mohammadi M.Montazeri S.Abasi
• 机 构: Department of Electrical Engineering,Borujerd Branch,Islamic Azad University,
• 出 处: Journal of Central South University
• 发表日期: 2017年03期
• 关键词: distribution system power quality single type and multiple type DFACTS BFO algor

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 systems.The 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 allocated.The EBFO is then applied to obtain optimal locations and ratings of the single and multiple DFACTS.This is found to be faster and provides more accurate results compared to the usual PSO and BFO.Results obtained with MATLAB/Simulink simulations are compared with PSO,BFO and enhanced BFO.It reveals that enhanced BFO shows quick convergence to reach the desired solution there by yielding superior solution quality.Simulation 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.

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 systems. 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 allocated. The EBFO is then applied to obtain an optimal location and ratings of the single and multiple DFACTS. This is found to be faster and provide more accurate results than to the usual PSO and BFO.Results obtained with MATLAB / Simulink simulations are compared with PSO, BFO and enhanced BFO.It reveals that enhanced BFO shows quick convergence to reach the desired solution there by yielding superior solution quality.Simulation results concluded that the EBFO based multiple DFACTS allocation using DSSSC, APC and DSTATCOM is preferably to reduce power losses, improve load balancing and enhance voltage deviation index to 7 0%, 38% and 132% respectively and also it can improve loading factor without additional power loss.