4.5 Article

Identification of Extreme Wind Events Using a Weather Type Classification

Journal

ENERGIES
Volume 14, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/en14133944

Keywords

wind power; meteorology; weather regimes; extreme events; wind power variability; wind power ramps; lower generation events

Categories

Funding

  1. FCT (Fundacao para a Ciencia e Tecnologia) through the OptiGRID project [PTDC/EEI-EEE/31711/2017]
  2. Operational Program for Sustainability and Efficiency in the Use of Resources (POSEUR) through Portugal 2020
  3. Cohesion Fund
  4. OffshorePlan [POSEUR-01-1001-FC-000007]
  5. OffshorePlan Project [POSEUR-01-1001-FC-000007]
  6. Fundação para a Ciência e a Tecnologia [PTDC/EEI-EEE/31711/2017] Funding Source: FCT

Ask authors/readers for more resources

Extreme wind events and their driving forces are crucial in integrating wind generation into the power system. Recent research linking extreme wind events with weather circulation patterns has provided insights into the impact on wind power production, with high variability expected under cyclonic regimes and low-generation events most common in anticyclonic regimes.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available