• DocumentCode
    665436
  • Title

    Wind power ramp forecasting for stochastic unit commitment in Smart Grid environment

  • Author

    Reddy, C. Shreedhar ; Balaraman, K. ; Patil, Abhijit ; Vasudevan, K.

  • Author_Institution
    M/s PRDC Pvt. Ltd., Bangalore, India
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The rapid increase in the wind power penetration into power system introduces more variability and uncertainty in existing conventional power system. These factors are the key challenges to integrate large amounts of wind generation into future smart grid. Wind power ramp forecasting provides the additional dimensionality in wind power forecasting and risk involved in operations at times of high variability in terms of ramp ups and ramp downs. This paper addresses the wind ramp rates considering wind effects along with demand profile. The analysis is applied to one of the high wind penetrating states in India to understand the effect of wind power ramp forecasting. The presented analysis can be used for scheduling/dispatch of conventional generation units using stochastic unit commitment programs.
  • Keywords
    load forecasting; power generation dispatch; power generation scheduling; wind power plants; India; smart grid environment; stochastic unit commitment; wind power penetration; wind power ramp forecasting; Asia; Decision support systems; high wind penetration; smart grid; unit commitment; variability & uncertainty; wind power ramp forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2013 IEEE
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4799-1346-6
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2013.6698762
  • Filename
    6698762