• DocumentCode
    132294
  • Title

    Study on smoothing effects of PV outputs — Method with autocorrelation function

  • Author

    Kikuchi, Kazuro ; Nanahara, Toshiya

  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Photovoltaic power generation systems (PVs) are significantly increasing in recent years. On the other hand, large-scale penetration of PVs causes concerns in keeping supply-and-demand balance of a power system because output power of PVs shows considerable fluctuations due to weather conditions. To assess the impacts on the balance, fluctuation characteristics of PVs should be examined for the case of large-scale penetration of PVs. Since the fluctuations of total output of many PVs dispersed across an area are dominated by smoothing effects, it is essential to figure out the factors that govern the smoothing effects. This paper proposes a method to analyze solar irradiance data with an autocorrelation function to examine their fluctuation characteristic. Applying the method to the solar irradiance data measured at an observation site within one kilometer for four seasons, the paper discusses the relationship between the fluctuations of solar irradiances and the smoothing effects. The results implicate that horizontal scale of clouds governs the smoothing effects.
  • Keywords
    clouds; correlation methods; photovoltaic power systems; sunlight; PV output smoothing effects; autocorrelation function; clouds; fluctuation characteristics; large-scale PV penetration; photovoltaic power generation systems; solar irradiance data; supply-and-demand balance; weather conditions; Approximation methods; Correlation; Fluctuations; Photovoltaic systems; Smoothing methods; Springs; autocorrelation function; cloud; photovoltaic generation; power fluctuation; smoothing effect; solar irradiance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference (UPEC), 2014 49th International Universities
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4799-6556-4
  • Type

    conf

  • DOI
    10.1109/UPEC.2014.6934659
  • Filename
    6934659