Title :
GA based distribution network expansion. Part 1. mathematical model
Author :
Kilyeni, St ; Barbulescu, C. ; Simo, A. ; Teslovan, R.
Author_Institution :
Power Syst. Dept., Politeh. Univ., Timisoara, Romania
Abstract :
The renewable sources´ influence regarding the distribution network expansion planning is tackled. The network expansion is discussed in two cases: with and without renewable sources. The obtained expansion solutions are analyzed and a final one is proposed by the authors. To achieve this goal network reconfiguration and N-1 contingecies are performed. The goal is to supply all the consumers for each operating condition. Also, the technical losses have to be minimized. 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.
Keywords :
genetic algorithms; load flow; power distribution planning; renewable energy sources; Matlab environment; distribution network expansion planning; genetic algorithms; network reconfiguration; optimal power flow; renewable sources; Biological cells; Genetic algorithms; Load flow; Planning; Sociology; Software tools; distribution network expamsio; optimization; reconfiguration; renewable sources; software tool; tehnical losses;
Conference_Titel :
Applied and Theoretical Electricity (ICATE), 2014 International Conference on
Conference_Location :
Craiova
DOI :
10.1109/ICATE.2014.6972609