• DocumentCode
    615740
  • Title

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

  • Author

    de Souza, Alexandre A. A. ; Kagan, Nelson ; de Geus, Klaus

  • Author_Institution
    Dept. of Electr. Energy & Autom., Sao Paulo Univ., Sáo Paulo, Brazil
  • fYear
    2013
  • fDate
    15-17 April 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents a study of the impact of Distributed Generation (DG) in the planning and design of Low Voltage (LV) distribution networks. The proposed model considers the planning of LV networks with the aims of reducing power losses, acceptable voltage levels and maximizing power supply of distributed generation units using Genetic Algorithm (GA). Planning LV distribution networks involves radial configuration design, cable replacement, changes on the phases of the consumers and transformer position. In this work, these goals are considered by taking into account different conductors, voltage drop and power losses in lines. A power flow for radial distribution networks based on a backward/forward sweep using current summation was presented to validate the solutions.
  • Keywords
    distributed power generation; electric potential; genetic algorithms; load flow; power distribution planning; DG; GA; LV networks; acceptable voltage levels; backward sweep; cable replacement; conductors; consumers; current summation; distributed generation units; forward sweep; genetic algorithms; low voltage distribution networks; operational planning; power flow; power losses reduction; power supply maximization; radial configuration design; radial distribution networks; transformer position; voltage drop; Automation; Distributed power generation; Educational institutions; Genetic algorithms; Integrated circuit modeling; Low voltage; Planning; Distribution grid; Genetic algorithm; Load-Flow; Optimization; Smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Latin America (ISGT LA), 2013 IEEE PES Conference On
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-1-4673-5272-7
  • Type

    conf

  • DOI
    10.1109/ISGT-LA.2013.6554457
  • Filename
    6554457