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