Statistics for PV, wind and biomass generators and their impact on distribution grid planning

Stefan Nykamp, Albert Molderink, Johann L. Hurink, Gerardus Johannes Maria Smit

Research output: Contribution to journalArticleAcademicpeer-review

26 Citations (Scopus)


The integration of renewable energy generation leads to major challenges for distribution grid operators. When the feed-in of photovoltaic (PV), biomass and wind generators exceed significantly the local consumption, large investments are needed. To improve the knowledge on the interaction between these technologies, statistical information for load curves, correlation coefficients and general feed-in behavior is derived. These derivations are based on measured data of different generators in a German distribution area. In this paper, we give new insights useful for the dimensioning of grid structures and assets. Furthermore, an approach is presented which allows the calculation of the maximum and minimum feed-in resulting from different combinations of the considered technologies.
Original languageUndefined
Pages (from-to)924-932
Number of pages9
Issue numberNo. 1
Publication statusPublished - 1 Sept 2012


  • PhotovoltaicWind energyBiomass generationRenewable energy generationDistribution grid planning
  • Distribution grid planning
  • Wind Energy
  • Renewable energy generation
  • Biomass generation
  • EWI-22186
  • METIS-287983
  • IR-81360
  • Photovoltaic

Cite this