• DocumentCode
    140421
  • Title

    Allocation of electric vehicles´ parking lots in distribution network

  • Author

    Amini, Mohammad Hossein ; Islam, Aminul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
  • fYear
    2014
  • fDate
    19-22 Feb. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Increasing growing of electricity demand and environmental issues bring huge incentives to electric vehicles (EVs) market. High penetration of these vehicles leads to some challenges for the future power system. Specifically, utilizing them in an unscheduled manner will result in distribution network technical issues such as reliability issues, congestion and loss enhancement. In this paper, firstly, a probabilistic modeling of EVs´ behavior is achieved. Secondly, reliability-constraint optimum allocation of EVs´ parking lots is proposed. To achieve this purpose, a composite objective function is defined. This function contains three significant distribution network reliability indices and used to allocate parking lots by means of enhancing reliability. Finally, the proposed method is implemented on a standard distribution system for RBTS bus 2.
  • Keywords
    electric vehicles; genetic algorithms; power distribution planning; power distribution reliability; probability; distribution network congestion; distribution network reliability; electric vehicle behavior; electric vehicle parking lot allocation; loss enhancement; probabilistic model; reliability constraint optimum allocation; Indexes; Linear programming; Power system reliability; Probabilistic logic; Reliability; Resource management; Standards; EV modelling; composite reliability index; parking allocation; radial distribution network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2014.6816429
  • Filename
    6816429