• DocumentCode
    3250563
  • Title

    Reliability assessment of a wind integrated hydro-thermal power system

  • Author

    Karki, R. ; Hu, P. ; Billinton, R.

  • Author_Institution
    Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, SK, Canada
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    265
  • Lastpage
    270
  • Abstract
    Wind energy has received widespread public support, and as a result, wind power penetration in electric power systems is increasing rapidly. The risks associated with maintaining the short-term power balance as well as long-term supply continuity can increase significantly with increase in wind power penetration due to the uncertainty in power fluctuations from wind sources. The operation of different types of generating units requires proper coordination to minimize the operating risks and to increase the utilization of wind energy. Such coordination can however significantly affect the long-term system adequacy. This paper presents reliability models in Monte Carlo simulation that incorporate coordination between thermal, hydro and wind energy sources, and can be used to evaluate renewable energy usage and the long-term system reliability. The method is applied to the IEEE Reliability Test System to assess the impact of generating unit coordination on the system adequacy and the amount of wind and hydro energy utilization. The impact of coordination on system reliability and water usage are investigated considering reservoir limitations, varying wind penetration, and wind regimes.
  • Keywords
    IEEE standards; Monte Carlo methods; hydrothermal power systems; power generation reliability; wind power plants; IEEE reliability test system; Monte Carlo simulation; generating unit coordination; long-term system reliability; reliability assessment; renewable energy; wind energy sources; wind-integrated hydrothermal power system; Fluctuations; Maintenance; Power system modeling; Power system reliability; Renewable energy resources; System testing; Uncertainty; Water resources; Wind energy; Wind energy generation; Hydro power; Monte Carlo simulation; system adequacy; thermal power; wind power;
  • 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.2010.5528651
  • Filename
    5528651