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
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