• DocumentCode
    2808315
  • Title

    Study on reliability assessment of composite generation and transmission system integrated wind farm

  • Author

    Fang Cao ; Xiang Gao ; Junwei Yu

  • Author_Institution
    North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 2 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Power grid reliability impacts could be significant when a large amount of variable wind generation is integrated with the electric power system. The Sequential Monte Carlo Method are required in system reliability impact assessment in order to consider output of wind power generating units in the intermittent and volatility. The application of optimal power flow leads to the system operation method when the output in wind farms cannot meet the system demand, or other units fault system operation method aiming at the least load shedding. In the probabilistic production simulation the time varying characteristic of the load and the wind farm is retained, considering the influence of the traditional units starting and stopping to the key system, to get the results of the reliability simulation production. The IEEE Reliability Test System is utilized to verify the proposed method is correct and effective.
  • Keywords
    Monte Carlo methods; load flow; load shedding; power generation faults; power generation reliability; power grids; power transmission reliability; probability; wind power plants; IEEE reliability test system; composite generation reliability assessment; electric power system; load shedding; optimal power flow; power grid reliability impacts; probabilistic production simulation; reliability simulation production; sequential Monte Carlo method; system reliability impact assessment; time varying characteristic; transmission system integrated wind farm; unit fault system operation method; variable wind generation; wind power generating units; Indexes; Load modeling; Reliability theory; Monte Carlo simulation; Random production simulation; Reliability assessment; Wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2012 IEEE International Conference on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4673-2868-5
  • Type

    conf

  • DOI
    10.1109/PowerCon.2012.6401359
  • Filename
    6401359