• DocumentCode
    647906
  • Title

    Evaluation of forecast accuracy of aggregated photovoltaic power generation by unit commitment

  • Author

    Kato, Toshihiko ; Kawai, Kunihiro ; Suzuoki, Y.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An electric power system containing high penetration photovoltaic power generation system (PVS) should employ a highly accurate day-ahead forecast method of aggregated power output of PVS in the generation scheduling so as to realize the economic load dispatching. Considering the load-following capability of utility generators, however, small forecast error is not so influential, while large forecast error should be avoided. By using a simplified unit commitment model, this study evaluates the forecast accuracy of aggregated PVS power output by means of the amount of shortage or surplus of power supply in the electric power system. As a result, the shortage occurs occasionally, requiring the increase in the operating reserve. The surplus occasionally occurs in spring even without the forecast error. Avoiding the large forecast error contributes to the decrease in the operating-reserve of utility generators as well as the suppressed PVS power output, even though the average forecast accuracy is not improved so much.
  • Keywords
    load forecasting; photovoltaic power systems; power generation dispatch; power generation scheduling; power supply quality; day-ahead forecast method; electric power system; forecast accuracy; generation scheduling; load dispatching; photovoltaic power generation; power supply; unit commitment; utility generators; Accuracy; Electricity; Generators; Power generation; Power supplies; Weather forecasting; electric power system; forecast; photovoltaic power generation system; smoothing effect; unit commitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672455
  • Filename
    6672455