• DocumentCode
    1678167
  • 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
  • fYear
    2015
  • Firstpage
    471
  • Lastpage
    476
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
  • Conference_Location
    Timisoara
  • Type

    conf

  • DOI
    10.1109/SACI.2015.7208250
  • Filename
    7208250