• DocumentCode
    648057
  • Title

    Reliability assessment of integrated residential distribution and PHEV systems using Monte Carlo simulation

  • Author

    Zhu Wang ; Rui Yang ; Lingfeng Wang ; Jun Tan

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Plug-in hybrid electric vehicles (PHEVs) are an increasingly attractive response to the future transportation challenges because of their potential economic and environmental benefits. When integrating PHEVs into the distribution system, it is necessary to evaluate the impact of PHEVs on distribution system reliability from the perspective of system adequacy. This paper develops a probabilistic reliability model for integrated distribution and PHEV systems. A comprehensive and time sequential Monte Carlo simulation method is applied to generate the artificial operation history for each component of a residential distribution system, and a complete simulation procedure considering the PHEVs integration is proposed. The IEEE-34 feeder system is utilized as the residential distribution network in case studies, and simulation results are presented and discussed.
  • Keywords
    IEEE standards; Monte Carlo methods; distribution networks; electric vehicles; probability; reliability; transportation; IEEE-34 feeder system; Monte Carlo simulation; PHEV systems; artificial operation history; distribution system reliability; environmental benefits; integrated distribution; integrated residential distribution; plug-in hybrid electric vehicles; probabilistic reliability model; reliability assessment; residential distribution network; residential distribution system; time sequential Monte Carlo simulation method; transportation; History; Hybrid electric vehicles; Indexes; Interrupters; Monte Carlo methods; Power system reliability; Reliability; Distribution system; Monte Carlo simulation; Plug-in hybrid electric vehicle; Reliability assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672618
  • Filename
    6672618