• DocumentCode
    648293
  • Title

    Operation risk assessment of wind farm integrated system influenced by weather conditions

  • Author

    Xueting Li ; Hongtao Wang

  • Author_Institution
    Key Lab. of Power Syst. Intell. Dispatch & Control of Minist. of Educ., Shandong Univ., Jinan, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The component outage models in operation risk assessment should reflect not only system operation information but also the weather conditions. A composite outage model combining the weather conditioned time-varying model and overload conditioned outage model is built to simulate transmission line failure rates. This paper focuses on the weather impact on system risk as weather conditions influence both the component outage probability and the wind farm output. Time-varying and space-varying weather conditions, forecasted hourly load and wind farm output, day-ahead unit commitment are combined to calculate operation risk indices both in a system layer and in a component layer. Monte Carlo simulation method is used for state selection and optimal power flow is used for calculating optimal load curtailment. Test in IEEE-RTS 79 system with a large-scale wind farm integration shows the effect of the region and time of abnormal weather on system. The most possible lines and buses where overload and load curtailment will occur are analyzed which could help decision making for operators.
  • Keywords
    Monte Carlo methods; load flow; load forecasting; power transmission lines; probability; risk management; wind power plants; IEEE-RTS 79 system; Monte Carlo simulation; component outage probability; failure rates; load forecasting; optimal load curtailment; overload conditioned outage model; overload curtailment; power flow; risk assessment; time-varying model; transmission line; unit commitment; weather conditions; weather impact; wind farm integrated system; Load modeling; Rain; Reliability; Component Outage Model; Risk Assessment; Weather Conditions; Wind Power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672867
  • Filename
    6672867