• DocumentCode
    3764822
  • Title

    Photovoltaic power forecasting methods in smart power grid

  • Author

    Harendra Kumar Yadav;Yash Pal;M.M. Tripathi

  • Author_Institution
    School of Renewable Energy and Efficiency, NIT Kurukshetra Haryana, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Due to increasing global warming and depletion of conventional resources it is important to think of new types of energy sources to have clean and sufficient energy for sustainable growth. Photovoltaic (PV) power generation is playing important role in minimizing the shortage of power demand and providing clean energy to smart power grid. PV energy is growing and getting connected in distributed manner to the smart power grid. Forecasting of PV generation would play a vital role in the interconnection of the PV generators to smart power grid as this is intermittent in nature, depend on weather conditions and distributed throughout the grid. A comprehensive review of the PV forecasting methods in terms of their performances has been done in this paper. This paper presents a broad spectrum of the issues related to forecasting of PV generation at centralized as well as distributed level and also discusses its importance in smart power grid.
  • Keywords
    "Forecasting","Predictive models","Power generation","Meteorology","Data models","Artificial neural networks","Statistical analysis"
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2015 Annual IEEE
  • Electronic_ISBN
    2325-9418
  • Type

    conf

  • DOI
    10.1109/INDICON.2015.7443522
  • Filename
    7443522