Genetic algorithm based distribution network expansion planning

Author

Kilyeni, St ; Barbulescu, C. ; Simo, A. ; Teslovan, R. ; Oros, C.

Author_Institution

Power Syst. Anal. & Optimization Res. Center, Politeh. Univ. of Timisoara, Timisoara, Romania

fYear

2014

fDate

2-5 Sept. 2014

Firstpage

1

Lastpage

6

Abstract

The methods belonging to the artificial intelligence field are becoming very popular within the power system domain. Within the literature several applications are able to be highlighted: load forecasting, power flow computing, power flow optimization, network expansion. The paper is focusing on developing a software tool based on genetic algorithms. The goal of the paper is to use it for distribution network expansion planning. For the moment, the case studies are represented by small scale test power system, but the work is heading towards real, complex distribution networks.

Keywords

genetic algorithms; load flow; load forecasting; power distribution planning; power engineering computing; artificial intelligence field; distribution network expansion planning; genetic algorithm; load forecasting; power flow computing; power flow optimization; power system domain; Biological cells; Genetic algorithms; Load flow; Optimization; Planning; Software tools; distribution network; expansion planning; genetic algorithm; mathematical model;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference (UPEC), 2014 49th International Universities

Conference_Location

Cluj-Napoca

Print_ISBN

978-1-4799-6556-4

Type

conf

DOI

10.1109/UPEC.2014.6934812

Filename

6934812