• DocumentCode
    570401
  • Title

    Calculation of wind-farm capacity credit based on probabilistic production simulation and its application

  • Author

    Liu, Junwei ; Zhou, Ming ; Mao, Xueyan ; Wu, Qiubing

  • Author_Institution
    State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In aspect of capacity, wind power generation and traditional power generation is inner connected. The capacity credit is a convenient and effective way to compare these two different types of power generation. Capacity credit of wind power (CCOWF) is presented in this paper, as well as a calculation method of CCOWF based on probabilistic production simulation (PPS), this method is based on sequence operation theory (SOT) and considers both the probabilistic of load and power generation. Considering the loss of load expectation (LOLE) is unchanged with the accessing of wind power and shutting some gas-guzzling thermal power down. The corresponding software is programmed, and the diagrammatic method is developed to calculate and the CCOWF of IEEE-RTS79 test system. In the end, the application of CCOWF in aspect of calculating the ability of peak load regulation and the capacity of spinning reserve is short presented.
  • Keywords
    IEEE standards; probability; wind power plants; IEEE-RTS79 test system; diagrammatic method; gas-guzzling thermal power; load expectation; load generation; peak load regulation; probabilistic production simulation; sequence operation theory; spinning reserve; wind power generation; wind-farm capacity credit; Load modeling; Power system reliability; Probabilistic logic; Reliability; Wind farms; Wind power generation; LOLE; capacity credit; peak load regulation; probabilistic model; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-1221-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2012.6303224
  • Filename
    6303224