• DocumentCode
    3250265
  • Title

    Probabilistic resource adequacy assessment of large interconnected systems

  • Author

    Bagen, B. ; Koegel, P. ; Couillard, M. ; Stradley, K. ; Giggee, B. ; Jensen, A. ; Iverson, J. ; Haringa, G.E.

  • Author_Institution
    Syst. Planning Dept., Manitoba Hydro, Winnipeg, MB, Canada
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    252
  • Lastpage
    258
  • Abstract
    This paper presents the results of probabilistic resource adequacy assessment of a large North American interconnected planning reserve sharing group-the Mid-Continent Area Power Pool (MAPP) for the 10-year planning horizon from 2009 - 2018. The objective of this study is to assess the collective resources of the MAPP participants to determine the minimum level of reserve requirements based upon reliability principles and standards set forth by applicable regional reliability entities of the North American Electric Reliability Council (NERC). The study was conducted by the MAPP Composite System Reliability Working Group (CSRWG) using the Multi-Area Reliability Simulation (MARS) program developed by the General Electric International Inc. The program is based on a sequential Monte Carlo simulation technique. The study results support the current levels of Reserve Capacity Obligation (RCO) of 15% for predominantly thermal systems and 10% for predominately hydro systems within MAPP region.
  • Keywords
    Monte Carlo methods; power system interconnection; power system planning; power system reliability; General Electric International Inc; MAPP composite system reliability working group CSRWG; MAPP participants; NERC; North American Electric Reliability Council; North American interconnected planning; industry case study; large interconnected systems; mid-continent area power pool; multi-area reliability simulation; probabilistic resource adequacy assessment; reliability principles; reliability standards; reserve capacity obligation; reserve sharing group; sequential Monte Carlo simulation; Councils; Interconnected systems; Load forecasting; Power markets; Power system analysis computing; Power system interconnection; Power system planning; Power system reliability; Standards development; Uncertainty; Loss of Load Expectation; Multi-Area Reliability; Reserve Capacity Obligation; Resource Adequacy Assessment; Sequential Monte Carlo Simulation;
  • 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.2010.5528519
  • Filename
    5528519