Placement and Sizing of DG Using PSO&HBMO Algorithms in Radial Distribution Networks
Author(s) -
Milad Afzalan,
Mohammad Ali Taghikhani
Publication year - 2012
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2012.10.05
Subject(s) - computer science , sizing , algorithm , distribution (mathematics) , artificial intelligence , mathematical optimization , mathematics , chemistry , mathematical analysis , organic chemistry
Optimal placement and sizing of DG in distribution network is an optimization problem with continuous and discrete variables. Many researchers have used evolutionary methods for finding the optimal DG placement and sizing. This paper proposes a hybrid algorithm PSO&HBMO for optimal placement and sizing of distributed generation (DG) in radial distri- bution system to minimize the total power loss and improve the voltage profile. The proposed method is tested on a standard 13 bus radial distribution system and simulation results carried out using MATLAB software. The simulation results indicate that PSO&HBMO method can obtain better results than the simple heuristic search method and PSO algorithm. The method has a potential to be a tool for identifying the best location and rating of a DG to be installed for improving voltage profile and line losses reduction in an electrical power system. Moreover, current reduc- tion is obtained in distribution system.
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