Minute-scale forecasting of wind power — results from the collaborative workshop of IEA Wind task 32 and 36

Ines Würth, Laura Valldecabres, Elliot Simon, Corinna Möhrlen, Bahri Uzunoğlu, Ciaran Gilbert, Gregor Giebel, David Schlipf, Anton Kaifel

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The demand for minute-scale forecasts of wind power is continuously increasing with the growing penetration of renewable energy into the power grid, as grid operators need to ensure grid stability in the presence of variable power generation. For this reason, IEA Wind Tasks 32 and 36 together organized a workshop on “Very Short-Term Forecasting of Wind Power” in 2018 to discuss different approaches for the implementation of minute-scale forecasts into the power industry. IEA Wind is an international platform for the research community and industry. Task 32 tries to identify and mitigate barriers to the use of lidars in wind energy applications, while IEA Wind Task 36 focuses on improving the value of wind energy forecasts to the wind energy industry. The workshop identified three applications that need minute-scale forecasts: (1) wind turbine and wind farm control, (2) power grid balancing, (3) energy trading and ancillary services. The forecasting horizons for these applications range from around 1 second for turbine control to 60 min for energy market and grid control applications. The methods that can be applied to generate minute-scale forecasts rely on upstream data from remote sensing devices such as scanning lidars or radars, or are based on point measurements from met masts, turbines or profiling remote sensing devices. Upstream data needs to be propagated with advection models and point measurements can either be used in statistical time series models or assimilated into physical models. All methods have advantages but also shortcomings. The workshop’s main conclusions were that there is a need for further investigations into the minute-scale forecasting methods for different use cases, and a cross-disciplinary exchange of different method experts should be established. Additionally, more efforts should be directed towards enhancing quality and reliability of the input measurement data.

LanguageEnglish
Article number712
Number of pages30
JournalEnergies
Volume12
Issue number4
DOIs
Publication statusPublished - 21 Feb 2019

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Wind Power
Wind power
Forecast
Forecasting
Wind Energy
Grid
Industry
Turbine
Remote Sensing
Remote sensing
Turbines
Renewable Energy
Wind Turbine
Advection
Time Series Models
Use Case
Profiling
Energy
Physical Model
Penetration

Keywords

  • doppler lidar
  • doppler radar
  • forecasting horizon
  • minute-scale forecasting
  • numerical weather prediction models
  • wind energy

Cite this

Würth, I., Valldecabres, L., Simon, E., Möhrlen, C., Uzunoğlu, B., Gilbert, C., ... Kaifel, A. (2019). Minute-scale forecasting of wind power — results from the collaborative workshop of IEA Wind task 32 and 36. Energies, 12(4), [712]. https://doi.org/10.3390/en12040712
Würth, Ines ; Valldecabres, Laura ; Simon, Elliot ; Möhrlen, Corinna ; Uzunoğlu, Bahri ; Gilbert, Ciaran ; Giebel, Gregor ; Schlipf, David ; Kaifel, Anton. / Minute-scale forecasting of wind power — results from the collaborative workshop of IEA Wind task 32 and 36. In: Energies. 2019 ; Vol. 12, No. 4.
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Würth, I, Valldecabres, L, Simon, E, Möhrlen, C, Uzunoğlu, B, Gilbert, C, Giebel, G, Schlipf, D & Kaifel, A 2019, 'Minute-scale forecasting of wind power — results from the collaborative workshop of IEA Wind task 32 and 36' Energies, vol. 12, no. 4, 712. https://doi.org/10.3390/en12040712

Minute-scale forecasting of wind power — results from the collaborative workshop of IEA Wind task 32 and 36. / Würth, Ines; Valldecabres, Laura; Simon, Elliot; Möhrlen, Corinna; Uzunoğlu, Bahri; Gilbert, Ciaran; Giebel, Gregor; Schlipf, David; Kaifel, Anton.

In: Energies, Vol. 12, No. 4, 712, 21.02.2019.

Research output: Contribution to journalArticle

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