• DocumentCode
    1899743
  • Title

    Reliability evaluation of distribution systems containing renewable distributed generations

  • Author

    Alkuhayli, Abdulaziz A. ; Raghavan, Srinath ; Chowdhury, Badrul H.

  • Author_Institution
    Dept. of Electr. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2012
  • fDate
    9-11 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Reliability evaluation of distribution networks under grid-tied and islanded microgrid modes is presented. The Monte Carlo simulation (MCS) algorithm is applied to a modified RBTS Bus 2 distribution network. The network includes three types of distributed energy resources, namely, solar photovoltaic (PV), wind turbine (WT), and diesel turbine generator (DTG). These distributed generators contribute to supply part of the load during grid-connected mode, but supply 100% of the load in the islanded microgrid mode. This study shows that the implementation of distributed generations can improve the reliability indices of the distribution network.
  • Keywords
    Monte Carlo methods; diesel-electric generators; distributed power generation; photovoltaic power systems; power distribution reliability; power grids; renewable energy sources; solar power stations; turbogenerators; wind turbines; DTG; MCS algorithm; Monte Carlo simulation algorithm; WT; diesel turbine generator; distributed energy resource; grid-connected mode; grid-tied mode; islanded microgrid mode; modified RBTS Bus 2 distribution network; reliability evaluation; renewable distributed generation network system; solar PV; solar photovoltaic; wind turbine; Interrupters; Maintenance engineering; Power generation; Power system reliability; Reliability; Wind speed; Distributed Generations; Monte Carlo Simulation; Reliability Evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2012
  • Conference_Location
    Champaign, IL
  • Print_ISBN
    978-1-4673-2306-2
  • Electronic_ISBN
    978-1-4673-2307-9
  • Type

    conf

  • DOI
    10.1109/NAPS.2012.6336324
  • Filename
    6336324