• DocumentCode
    3248902
  • Title

    Non-sequential simulation methods for reliability analysis of power systems with photovoltaic generation

  • Author

    Shu, Zhen ; Jirutitijaroen, Panida

  • Author_Institution
    Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    703
  • Lastpage
    709
  • Abstract
    This paper investigates non-sequential simulation methods for single-area electric power system reliability evaluation with time dependent sources such as photovoltaic (PV) generation. Three random sampling techniques are proposed, considering the system load and PV generation as correlated random variables. Reliability indices such as expected loss of load and loss of load probability are estimated from the simulation. The comparisons are made between direct application of sequential sampling and the proposed random sampling methods. Results show that the indices from the proposed simulation methods are as accurate as those from sequential simulation while requiring much less CPU time. The test system is taken from Singapore Energy Market Authority (EMA) data in 2008.
  • Keywords
    Monte Carlo methods; photovoltaic power systems; power generation reliability; probability; random processes; Monte Carlo simulation; PV generation; Singapore Energy Market Authority; load probability loss; nonsequential simulation methods; photovoltaic generation; power system reliability analysis; random sampling techniques; reliability indices; sequential sampling method; single-area electric power system reliability evaluation; time dependent source; Analytical models; Photovoltaic systems; Power generation; Power system analysis computing; Power system reliability; Power system simulation; Random variables; Sampling methods; Solar power generation; System testing; Monte Carlo simulation; correlation analysis; renewable energy; single-area power system reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5720-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2010.5528395
  • Filename
    5528395