DocumentCode :
3268876
Title :
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
Link To Document :
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