• DocumentCode
    1988837
  • Title

    Distribution system expansion planning with renewable sources. Case study: IEEE 33 test system

  • Author

    Barbulescu, Constantin ; Kilyeni, Stefan ; Simo, Attila ; Vernica, Alin

  • Author_Institution
    Power Systems Department, Power Systems Analysis and Optimization Research Center, Politehnica University Timisoara, Romania
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The renewable sources´ influence regarding the distribution network expansion planning is tackled. Two cases are involved into discussion: with and without renewable sources. The obtained expansion solutions are analyzed for each case and a final one is proposed. Thus, network reconfiguration is used and technical losses minimization. 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
    Biological cells; Genetic algorithms; Load flow; Planning; Sociology; Statistics; power distribution; power system planning; renewable energy sources; software-tool;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven, Netherlands
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232590
  • Filename
    7232590