DocumentCode :
2352508
Title :
Optimal allocation and sizing of DGs in distribution networks
Author :
Ziari, I. ; Ledwich, G. ; Ghosh, A. ; Cornforth, David ; Wishart, M.
Author_Institution :
Sch. of Eng. Syst., Queensland Univ. of Technol., Brisbane, QLD, Australia
fYear :
2010
fDate :
25-29 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
In this paper, the placement and sizing of Distributed Generators (DG) in distribution networks are determined using optimization. The objective is to minimize the loss and to improve the reliability at lowest cost. The constraints are the bus voltage, feeder current and the reactive power flowing back to the source side. The placement and size of DGs are optimized using a combination of Discrete Particle Swarm Optimization (DPSO) and Genetic Algorithm (GA). This increases the diversity of the optimizing variables in DPSO not to be trapped in a local minimum. To evaluate the proposed algorithm, the semi-urban 37-bus distribution system connected at bus 2 of the Roy Billinton Test System (RBTS), which is located at the secondary side of a 33/11 kV distribution substation, is used. The results illustrate the efficiency of the proposed method.
Keywords :
distributed power generation; genetic algorithms; particle swarm optimisation; power distribution reliability; substations; 37-bus distribution system; Roy Billinton test system; bus voltage; discrete particle swarm optimization; distributed generator sizing; distribution networks; distribution substation; feeder current; genetic algorithm; optimal allocation; optimization; reactive power flow; Distributed Generation; Distribution System; Optimization; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1944-9925
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2010.5588114
Filename :
5588114
Link To Document :
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