DocumentCode :
2026623
Title :
Optimal reconfiguration of radial distribuion system using artificial intelligence methods
Author :
Venkatesh, B. ; ChandraMohan, S. ; Kayalvizhi, N. ; Kumudini Devi, R.P.
Author_Institution :
Dept. ECE, Ryerson Univ., Toronto, ON, Canada
fYear :
2009
fDate :
26-27 Sept. 2009
Firstpage :
660
Lastpage :
665
Abstract :
Reconfiguration of radial distribution system is the significant way of altering the flow of power through lines. This altered flow changes the real power losses, reactive power losses and voltage profiles. Privatized RDS need to operate profitably with minimum operational losses and power quality. Envisaging such a prospect, this paper focuses on the aspects of loss minimization and voltage enhancement of RDS by artificial intelligence methods. A sample 33-bus system and 69-bus system are chosen for the study and the results are being compared.
Keywords :
artificial intelligence; distribution networks; genetic algorithms; minimisation; power engineering computing; reactive power; 33-bus system; 69-bus system; artificial intelligence methods; loss minimization; optimal reconfiguration; power flow; radial distribution system; reactive power losses; real power losses; voltage enhancement; voltage profiles; Artificial intelligence; Circuits; Genetic algorithms; Genetic programming; Minimization methods; Power quality; Random number generation; Reactive power; Switches; Voltage; Evolutionary programming; Genetic algorithms; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto International Conference
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-3877-8
Electronic_ISBN :
978-1-4244-3878-5
Type :
conf
DOI :
10.1109/TIC-STH.2009.5444417
Filename :
5444417
Link To Document :
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