• DocumentCode
    253575
  • Title

    Impact of distributed generation on the operational planning of medium voltage distribution networks using genetic algorithms

  • Author

    de Souza, Alexandre A. A. ; Kagan, Nelson ; Morales Udaeta, Miguel Edgar ; de Geus, Klaus

  • Author_Institution
    Dept. of Electr. Energy & Autom., Sao Paulo Univ., Sao Paulo, Brazil
  • fYear
    2014
  • fDate
    12-15 Oct. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a study of the impact of Distributed Generation (DG) in the operational planning and design of Medium Voltage (MV) distribution networks. The proposed model considers the planning of MV networks for reducing power losses, voltage drop and investments in reinforcements using Genetic Algorithm (GA). Planning MV distribution networks involves cable replacement, sizing and positioning of capacitor and DG and phase load balancing. The objective function to be minimized includes operational costs of proposed changes, power losses and voltage constraints. A power flow for radial distribution networks based on a backward/forward sweep using current summation was developed to validate the solutions.
  • Keywords
    distributed power generation; genetic algorithms; power distribution planning; MV networks planning; backward-forward sweep; distributed generation; genetic algorithms; medium voltage distribution networks; operational planning; power flow; power losses; radial distribution networks; voltage constraints; voltage drop; Capacitors; Genetic algorithms; Load flow; Load management; Optimization; Planning; Power cables; Distribution grid; Genetic algorithm; Load-Flow; Optimization; Smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2014.7028757
  • Filename
    7028757