Reconfiguration and DG placement considering critical system condition

Author

Mirazimi, S.J. ; Nematollahi, Maryam ; Ashourian, M.H. ; Mirahmadi, Sh

Author_Institution

Univ. of Southern Queensland, Toowoomba, QLD, Australia

fYear

2013

fDate

3-4 June 2013

Firstpage

676

Lastpage

679

Abstract

This paper offers a method to reconfiguration and DG placement simultaneously considering critical system condition in distribution systems. The critical system conditions like tripping a 63/20kv distribution transformer and adding an external maneuver loud. Additional finding place and power of DG in this research, optimal power factor is obtained by the given algorithm. Reconfiguration of distribution system is implemented by adaptive genetic algorithm and graph theory to find an optimal structure system with place and power of distributed generators. The offered algorithm is effectively implemented on a 33-bus IEEE test system and a real life distribution system in Iran by Digsilent and. Matlab software.

Keywords

distributed power generation; genetic algorithms; graph theory; power factor; transformers; 33-bus IEEE test system; DG placement; Digsilent software; Iran; adaptive genetic algorithm; critical system condition; distributed generator; distribution transformer; external maneuver loud; graph theory; optimal power factor; Actuators; Biological cells; Genetic algorithms; Linear programming; Optimization; Power system stability; Reactive power;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International

Conference_Location

Langkawi

Print_ISBN

978-1-4673-5072-3

Type

conf

DOI

10.1109/PEOCO.2013.6564632

Filename

6564632