• DocumentCode
    1520728
  • Title

    A Dynamic Approach for Distribution System Planning Considering Distributed Generation

  • Author

    Naderi, Ehsan ; Seifi, Hossein ; Sepasian, Mohammad Sadegh

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
  • Volume
    27
  • Issue
    3
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1313
  • Lastpage
    1322
  • Abstract
    Deregulation in the power system industry and invention of new technologies for producing electrical energy have led to innovations in distribution system planning (DSP). Distributed generation (DG) is one of the most attractive technologies that brings different kinds of advantages to a wide range of entities, engaged in power systems. In this paper, a new model for considering DGs in the DSP problem is presented. In this model, an optimal power flow (OPF) is proposed to minimize capital costs for network upgrading, operation and maintenance costs, and the cost of losses for handling the load growth for the planning horizon. The term “dynamic” is used to refer to the planning over a specific period so that dynamic distribution system planning is, in fact, proposed. Besides, a modified genetic algorithm is used to find the optimal topology solution. The effectiveness of this method is demonstrated through examination on a radial distribution network.
  • Keywords
    distributed power generation; genetic algorithms; load flow; power distribution planning; power generation planning; DSP problem; capital costs; deregulation; distributed generation; distribution system planning; dynamic approach; maintenance cost; modified genetic algorithm; network upgrading; operation cost; optimal power flow; power system industry; radial distribution network; Digital signal processing; Investments; Load modeling; Optimization; Planning; Power system dynamics; Substations; Distributed generation (DG); distribution system planning (DSP); genetic algorithm (GA); optimal load flow (OPF);
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2012.2194744
  • Filename
    6203389