DocumentCode
3487505
Title
Voltage profile optimization with distributed generation
Author
Celli, G. ; Ghiani, E. ; Loddo, M. ; Pilo, F.
Author_Institution
Univ. of Cagliari, Cagliari
fYear
2005
fDate
27-30 June 2005
Firstpage
1
Lastpage
7
Abstract
A novel approach for voltage and reactive power control in active distribution networks is proposed in this paper. The purpose of the methodology is to achieve the overall objective of minimum network costs and, at the same time, allows finding a proper dispatch schedule for the distributed generators connected to the network such that voltage profile is optimized. The voltage regulation procedure follows iteratively two steps combining a genetic algorithm with a linearly constrained optimization method. Firstly, the genetic algorithm set the most promising distributed generation siting and sizing configurations and, secondly, for each configuration, the constrained optimization method is applied in order to find the operating point for all distributed generators that optimizes the voltage profile. The procedure efficiency has been tested in a real distribution network. The results show that distributed generation may offer a valuable opportunity to enhance voltage profile in distribution networks and can significantly impact the planning stage.
Keywords
distributed power generation; genetic algorithms; power distribution control; reactive power control; voltage control; active distribution networks; dispatch schedule; distributed generation; genetic algorithm; linearly constrained optimization method; reactive power control; voltage control; voltage profile optimization; Costs; Distributed control; Distributed power generation; Genetic algorithms; Optimization methods; Power distribution; Power generation; Power generation economics; Reactive power control; Voltage control; Distributed generation; genetic algorithm; power distribution planning; voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Tech, 2005 IEEE Russia
Conference_Location
St. Petersburg
Print_ISBN
978-5-93208-034-4
Electronic_ISBN
978-5-93208-034-4
Type
conf
DOI
10.1109/PTC.2005.4524723
Filename
4524723
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