Reference : Critical Time Windows for Renewable Resource Complementarity Assessment
Scientific journals : Article
Engineering, computing & technology : Energy
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/230029
Critical Time Windows for Renewable Resource Complementarity Assessment
English
Berger, Mathias mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
Radu, David-Constantin mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
Fonteneau, Raphaël mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore) >]
Henry, Robin [> >]
Glavic, Mevludin [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
Fettweis, Xavier mailto [Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie >]
Le Du, Marc [> >]
Panciatici, Patrick [> >]
Balea, Lucian [> >]
Ernst, Damien mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
5-Feb-2020
Energy
Elsevier
Yes (verified by ORBi)
International
0360-5442
1873-6785
London
United Kingdom
[en] variable renewable energy ; smoothing effect ; resource complementarity ; critical time windows ; criticality indicator ; power system planning
[en] This paper proposes a framework to assess the complementarity between geographically dispersed variable renewable energy resources over arbitrary time scales. More precisely, the framework relies on the concept of critical time windows, which offers an accurate, time-domain description of low-probability power production events impacting power system operation and planning. A scalar criticality indicator is also derived to quantify the spatiotemporal complementarity that renewable generation sites may exhibit, and it is leveraged to propose optimisation models seeking to identify deployment patterns with maximum complementarity. The usefulness of the framework is shown in a case study investigating the complementarity between wind regimes in continental western Europe and southern Greenland, using roughly 300 candidate locations and 10 years of reanalysis and simulated data with hourly resolution. Besides showing that the occurrence of low wind power production events can be reduced on a regional scale by exploiting diversity in local wind patterns, results highlight the fact that aggregating wind power production sites located on different continents may result in a lower occurrence of system-wide low wind power production events and point to potential bene ts of intercontinental electrical interconnections.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/2268/230029
https://www.sciencedirect.com/science/article/abs/pii/S0360544220304151

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