Distribution network expansion planning. Real distribution network case study

Author

Barbulescu, C. ; Kilyeni, St ; Simo, A. ; Oros, C. ; Petrica, F.

Author_Institution

Power Syst. Dept., Politeh. Univ. Timisoara, Timisoara, Romania

fYear

2015

fDate

10-13 June 2015

Firstpage

297

Lastpage

302

Abstract

The methods belonging to the artificial intelligence field are becoming very popular within the power system domain. Within the literature several applications are highlighted: load forecasting, power flow computing, power flow optimization, network expansion. Distribution network expansion planning is tackled. The power flow is computed using conventional methods, but the optimal power flow and distribution network expansion are performed using genetic algorithms (GA). Thus, the authors have developed an own software-tool in Matlab environment. Case study refers to real, complex distribution networks.

Keywords

distribution networks; genetic algorithms; load flow; load forecasting; Matlab environment; artificial intelligence field; distribution network expansion planning; genetic algorithms; load forecasting; power flow computing; power flow optimization; power system domain; software-tool; Genetic algorithms; Load flow; Optimization; Planning; Sociology; Statistics; distribution network; expansion planning; optimization; software-tool;

fLanguage

English

Publisher

ieee

Conference_Titel

Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on

Conference_Location

Rome

Print_ISBN

978-1-4799-7992-9

Type

conf

DOI

10.1109/EEEIC.2015.7165555

Filename

7165555