• DocumentCode
    2286869
  • Title

    Impact of German wind generation forecasts on net transfer capacities

  • Author

    Salic, Goulven ; Rebours, Yann

  • Author_Institution
    Grad. Sch., Ecole Nat. de la Statistique et de l´´Analyse de l´´Inf. (ENSAI), Bruz, France
  • fYear
    2011
  • fDate
    25-27 May 2011
  • Firstpage
    635
  • Lastpage
    640
  • Abstract
    Because of its localization and its variability, wind generation can rapidly change the pattern of physical electrical flows between AC interconnected countries and adds more uncertainty in power system operation. Therefore, the increasing installed wind generation capacities may hamper the commercial net transfer capacities made available between countries. Through a statistical analysis using generalized additive models (GAM) on data from March 2008 to June 2010, this paper looks at the impact of the day-ahead hourly forecasts of German wind generation on the day-ahead net transfer capacities (NTCs) from Germany to France. Results are five-fold. First, the analysis shows that wind generation forecasts have a significant impact on the NTC, by explaining around 14% of the deviance. Second, this effect is negative: more the wind blows, less NTC are available. Third, German wind generation areas have different impacts. The paper shows that 50Hz and Amprion have the greatest influence. Fourth, the German consumption forecast impacts the NTC, but to a lower extent than wind generation forecasts, while the French consumption exhibits no significant effect. Last, the modeling is still incomplete and several improvements are proposed.
  • Keywords
    load flow; load forecasting; power generation economics; statistical analysis; wind power plants; AC interconnected country; GAM; German wind generation forecasts; NTC; commercial net transfer capacity; day-ahead hourly forecasts; day-ahead net transfer capacity; frequency 50 Hz; generalized additive models; physical electrical flows; power system operation; statistical analysis; Additives; Computational modeling; Europe; Predictive models; Spline; Time series analysis; Wind forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Market (EEM), 2011 8th International Conference on the European
  • Conference_Location
    Zagreb
  • Print_ISBN
    978-1-61284-285-1
  • Electronic_ISBN
    978-1-61284-284-4
  • Type

    conf

  • DOI
    10.1109/EEM.2011.5953089
  • Filename
    5953089