• DocumentCode
    4289
  • Title

    Evaluating Future Power Distribution System Reliability Including Distributed Generation

  • Author

    Al-Muhaini, Mohammad ; Heydt, Gerald T.

  • Author_Institution
    Dept. of Electr., Arizona State Univ., Tempe, AZ, USA
  • Volume
    28
  • Issue
    4
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    2264
  • Lastpage
    2272
  • Abstract
    This paper assesses the impact of conventional and renewable distributed generation (DG) on the reliability of future distribution systems, even when the connection may not be simply radial. The variability of the power output of renewable DGs, such as wind and solar is included. The stochastic nature of the renewable resources and their influence on the reliability of the system are modeled and studied by computing the adequacy transition rate. An integrated Markov model that incorporates the DG adequacy transition rate, DG mechanical failure, and starting and switching probability is proposed and utilized to give accurate results for the DG reliability assessment. The main focus in this paper is conventional generation, solar, and wind DG units. The technique used appears to be applicable to any renewable energy source.
  • Keywords
    Markov processes; distributed power generation; power distribution reliability; renewable energy sources; DG adequacy transition rate; DG mechanical failure; DG reliability assessment; future power distribution system reliability; integrated Markov model; renewable distributed generation; renewable resources; starting probability; switching probability; Capacity planning; Distributed power generation; Load modeling; Markov processes; Power system reliability; Probability; Distribution engineering; Markov models; distributed generation (DG); power system reliability;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2013.2253808
  • Filename
    6595149