Identification of Extreme Wind Events Using a Weather Type Classification

António Couto, Paula Costa and Teresa Simões
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António Couto: LNEG—Laboratório Nacional de Energia e Geologia, 2610-999 Lisbon, Portugal
Paula Costa: LNEG—Laboratório Nacional de Energia e Geologia, 2610-999 Lisbon, Portugal
Teresa Simões: LNEG—Laboratório Nacional de Energia e Geologia, 2610-999 Lisbon, Portugal

Energies, 2021, vol. 14, issue 13, 1-16

Abstract: The identification of extreme wind events and their driving forces are crucial to better integrating wind generation into the power system. Recent work related the occurrence of extreme wind events with some weather circulation patterns, enabling the identification of (i) wind power ramps and (ii) low-generation events as well as their intrinsic features, such as the intensity and time duration. Using Portugal as a case study, this work focuses on the application of a weather classification-type methodology to link the weather conditions with wind power generation, namely, the different types of extreme events. A long-term period is used to assess and characterize the changes in the occurrence of extreme weather events and corresponding intensity on wind power production. High variability is expected under cyclonic regimes, whereas low-generation events are most common in anticyclonic regimes. The results of the work provide significant insights regarding wind power production in Portugal, enabling an increase in its predictability.

Keywords: wind power; meteorology; weather regimes; extreme events; wind power variability; wind power ramps; lower generation events (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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