Title :
Photovoltaic power plants influence on distribution network expansion planning
Author :
Barbulescu, C. ; Kilyeni, St ; Simo, A. ; Oprea, G. ; Dobre, B.
Author_Institution :
Power Syst. Dept., Politeh. Univ. Timisoara, Timisoara, Romania
Abstract :
The renewable sources´ influence on the distribution network expansion planning is tackled. The optimal expansion solution and other alternatives (quasi-optimal) are analyzed and a final one is proposed. Network reconfiguration and N-1 contingencies are performed. 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; photovoltaic power systems; power distribution planning; power engineering computing; software tools; Matlab environment; N-1 contingencies; distribution network expansion planning; genetic algorithms; network reconfiguration; optimal expansion solution; optimal power flow computation; photovoltaic power plants; software tool; Biological cells; Genetic algorithms; Load flow; Planning; Sociology; Statistics;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location :
Timisoara
DOI :
10.1109/SACI.2015.7208250