Reference : Critical Time Windows for Renewable Resource Complementarity Assessment
E-prints/Working papers : Already available on another site
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 mailto [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 >]
Dec-2018
No
[en] variable renewable energy ; smoothing effect ; resource complementarity ; critical time windows ; criticality indicator ; power system planning
[en] This paper proposes a systematic framework to assess the complementarity of renewable resources over arbitrary geographical scopes and temporal scales which is particularly well-suited to exploit very large data sets of climatological data. The concept of critical time windows is introduced, and a spatio-temporal criticality indicator is proposed, consisting in a parametrised family of scalar indicators quantifying the complementarity between renewable resources in both space and time. The criticality indicator is leveraged to devise a family of optimisation problems identifying sets of locations with maximum complementarity under arbitrary geographical deployment constraints. The applicability of the framework is shown in a case study investigating the complementarity between the wind regimes in continental western Europe and southern Greenland, and its usefulness in a power system planning context is demonstrated. Besides showing that the occurrence of low wind power production events can be significantly 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 indicate potential benefits of intercontinental electrical interconnections.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/2268/230029
https://arxiv.org/abs/1812.02809

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