Title of article :
Optimal DG Placement for Power Loss Reduction and Improvement Voltage Profile Using Smart Methods
Author/Authors :
Hashemi Zadeh، S.A نويسنده Islamic Azad University, Rafsanjan , , Zeidabadi Nejad، O نويسنده Islamic Azad University, Najaf Abad , , Hasani، Saeed نويسنده Department of Animal Science, Gorgan University of Agricultural Sciences and Natural Resources, P.O. Box 4913815739, Gorgan, I.R. Iran , , Gharaveisi، A.A نويسنده Shahid Bahonar University, Kerman , , Shahgholian، GH نويسنده Islamic Azad University, Najaf Abad ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
8
From page :
141
To page :
148
Abstract :
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.
Journal title :
International Journal of Smart Electrical Engineering
Serial Year :
2012
Journal title :
International Journal of Smart Electrical Engineering
Record number :
945593
Link To Document :
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