Minute-Scale Forecasting of Wind PowerResults from the Collaborative Workshop of IEA Wind Task 32 and 36

Ines Wuerth*, Laura Valldecabres, Elliot Simon, Corinna Mohrlen, Bahri Uzunoglu, Ciaran Gilbert, Gregor Giebel, David Schlipf, Anton Kaifel

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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 s 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.
Original languageEnglish
JournalEnergies
Volume12
Issue number4
Pages (from-to)712
Number of pages1
ISSN1996-1073
DOIs
Publication statusPublished - 2019

Keywords

  • Wind-energy
  • Minute-scale forecasting
  • Forecasting horizon
  • Doppler lidar
  • Doppler radar
  • Numerical waether prediction models

Cite this

Wuerth, I., Valldecabres, L., Simon, E., Mohrlen, C., Uzunoglu, B., Gilbert, C., ... Kaifel, A. (2019). Minute-Scale Forecasting of Wind PowerResults from the Collaborative Workshop of IEA Wind Task 32 and 36. Energies, 12(4), 712. https://doi.org/10.3390/en12040712
Wuerth, Ines ; Valldecabres, Laura ; Simon, Elliot ; Mohrlen, Corinna ; Uzunoglu, Bahri ; Gilbert, Ciaran ; Giebel, Gregor ; Schlipf, David ; Kaifel, Anton. / Minute-Scale Forecasting of Wind PowerResults from the Collaborative Workshop of IEA Wind Task 32 and 36. In: Energies. 2019 ; Vol. 12, No. 4. pp. 712.
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Wuerth, I, Valldecabres, L, Simon, E, Mohrlen, C, Uzunoglu, B, Gilbert, C, Giebel, G, Schlipf, D & Kaifel, A 2019, 'Minute-Scale Forecasting of Wind PowerResults from the Collaborative Workshop of IEA Wind Task 32 and 36', Energies, vol. 12, no. 4, pp. 712. https://doi.org/10.3390/en12040712

Minute-Scale Forecasting of Wind PowerResults from the Collaborative Workshop of IEA Wind Task 32 and 36. / Wuerth, Ines; Valldecabres, Laura; Simon, Elliot; Mohrlen, Corinna; Uzunoglu, Bahri; Gilbert, Ciaran; Giebel, Gregor; Schlipf, David; Kaifel, Anton.

In: Energies, Vol. 12, No. 4, 2019, p. 712.

Research output: Contribution to journalJournal articleResearchpeer-review

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T1 - Minute-Scale Forecasting of Wind PowerResults from the Collaborative Workshop of IEA Wind Task 32 and 36

AU - Wuerth, Ines

AU - Valldecabres, Laura

AU - Simon, Elliot

AU - Mohrlen, Corinna

AU - Uzunoglu, Bahri

AU - Gilbert, Ciaran

AU - Giebel, Gregor

AU - Schlipf, David

AU - Kaifel, Anton

PY - 2019

Y1 - 2019

N2 - 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 s 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.

AB - 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 s 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.

KW - Wind-energy

KW - Minute-scale forecasting

KW - Forecasting horizon

KW - Doppler lidar

KW - Doppler radar

KW - Numerical waether prediction models

U2 - 10.3390/en12040712

DO - 10.3390/en12040712

M3 - Journal article

VL - 12

SP - 712

JO - Energies

JF - Energies

SN - 1996-1073

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