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

Nykamp, Stefan and Molderink, Albert and Hurink, Johann L. and Smit, Gerard J.M. (2012) Statistics for PV, wind and biomass generators and their impact on distribution grid planning. Energy, 45 (1). pp. 924-932. ISSN 0360-5442

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Abstract:	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.
Item Type:	Article
Copyright:	© 2012 Elsevier
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Computer Architecture for Embedded Systems (CAES) Discrete Mathematics and Mathematical Programming (DMMP)
Link to this item:	http://purl.utwente.nl/publications/81360
Official URL:	http://dx.doi.org/10.1016/j.energy.2012.06.067
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