• DocumentCode
    3387735
  • Title

    Power System Probabilistic Cost Production Simulation with Wind Power Penetration Using Universal Generating Function Methods

  • Author

    Liu, Xu ; Wang, Hongtao ; Zhou, Qinyong ; Sun, Huadong

  • Author_Institution
    Sch. of Electr. Eng., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new model and the relevant algorithm for the power system probabilistic cost production simulation with wind power penetration based on chronological load curve using universal generating function methods of multi-state system theory considering the characteristics of both load and wind power are presented in this paper. The power output models of wind farm, conventional units and load considering the reliability of conventional units and WTGs, wind speed correlation and load forecast uncertainty are developed using universal generating function methods in each sub-period. The special operators for these UGF are defined to describe the process of the power system probabilistic cost production simulation with wind power penetration. The calculation and analysis have been executed on the IEEE-RTS test system integrated wind farms.
  • Keywords
    IEEE standards; costing; load forecasting; power generation control; power generation reliability; power system simulation; probability; wind power plants; wind turbines; IEEE-RTS test system; UGF method; WTG; chronological load curve; integrated wind farm; load forecasting uncertainty; multistate system theory; power system probabilistic cost production simulation; reliability; universal generating function method; wind power penetration; wind speed correlation; Load modeling; Power systems; Probabilistic logic; Production; Uncertainty; Wind farms; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307098
  • Filename
    6307098