%0 Journal Article
%T Optimal DG Placement for Power Loss Reduction and Improvement Voltage Profile Using Smart Methods
%J International Journal of Smart Electrical Engineering
%I Islamic Azad University,Central Tehran Branch
%Z 2251-9246
%A Hashemi Zadeh, S.A
%A Zeidabadi Nejad, O
%A hasani, S
%A Gharaveisi, A.A
%A Shahgholian, GH
%D 2012
%\ 09/01/2012
%V 01
%N 03
%P 141-147
%! Optimal DG Placement for Power Loss Reduction and Improvement Voltage Profile Using Smart Methods
%K Bacteria Foraging Algorithm (BFA) and Binary Genetic Algorithm (BGA)
%K Distributed Generation (DG)
%K Voltage Deviation
%K distribution systems
%R
%X Distributed Generations (DGs) are utilized to supply the active and reactive power in the transmission and distribution systems. These types of power sources have many benefits such as power quality enhancement, voltage deviation reduction, power loss reduction, load shedding reduction, reliability improvement, etc. In order to reach the above benefits, the optimal placement and sizing of DG is significant. In this regard, this paper gets use of the Bacteria Foraging Algorithm (BFA) and Binary Genetic Algorithm (BGA) to investigate the DG placement with the purpose of power loss and voltage deviation reduction. The proposed method is applied on the 33-bus and 69-bus IEEE test systems and the optimal place and size of DGs from the power losses and voltage deviation minimization are assessed. Also, the performance of the above two algorithms are compared with each other.
%U http://ijsee.iauctb.ac.ir/article_510080_e5394430954bf0581485b918c95d1f01.pdf