• DocumentCode
    170937
  • Title

    GA based distribution network expansion. Part 2. Case study: IEEE-30 test system

  • Author

    Kilyeni, St ; Barbulescu, C. ; Oros, C. ; Deacu, A.

  • Author_Institution
    Power Syst. Dept., Politeh. Univ. Timisoara, Timisoara, Romania
  • fYear
    2014
  • fDate
    23-25 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • 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
    IEEE standards; genetic algorithms; load flow; power distribution planning; GA; IEEE-30 test system; Matlab environment; N-1 contingecies; distribution network expansion planning; genetic algorithms; optimal power flow; renewable sources; Genetic algorithms; Linear programming; Load flow; Optimization; Planning; Software tools; distribution network expamsio; optimization; reconfiguration; renewable sources; software tool; tehnical losses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied and Theoretical Electricity (ICATE), 2014 International Conference on
  • Conference_Location
    Craiova
  • Type

    conf

  • DOI
    10.1109/ICATE.2014.6972610
  • Filename
    6972610