WindRamp research project

Project title: WindRamp – Observer-based prediction of grid congestion and possible injection of offshore wind energy for operational grid management and trading processes.

 

Summary:

Wind ramps, i.e. rapid changes in incoming wind speed, such as during frontal passages, cause strong gradients in the feed-in power of offshore wind farms. The prediction of such wind ramps is subject to large uncertainties. This makes operational grid management more difficult, causes or prolongs the curtailment of wind energy, necessitates rescheduling of conventional power plants, and makes wind energy traded on the exchange more expensive. The Lidar remote sensing technique allows wind speeds to be measured several kilometers upstream. This allows wind ramps to be detected before they hit the wind farm.

 

Content and Methodology:

The objectives of the WindRamp project are to improve grid operations and optimize electricity trading processes by (i) researching and testing an observer-based short-range forecast of wind farm performance based on lidar wind measurements, (ii) the practical application of this curtailment forecast in grid operation management and electricity trading, and analysis and evaluation of the improvements achieved; and iii) the parallel concept development and demonstration of a compact lidar with significantly increased measurement range and better data availability to extend the temporal forecast horizon. In the subproject Shortening Period Forecast and Offshore Measurement Program, ForWind ‘ University of Oldenburg is conducting an offshore measurement campaign with lidar to provide data for the shortening period forecast. Measurement scenarios and analysis methods are adapted to the targeted high ranges. Based on these data, methods for the prediction of insb. ramp events with time horizons of up to 30 minutes were researched, tested and validated. Together with the project partners, improvements in the application of the new methods for grid operation management and electricity trading will be reviewed. The XXL lidar demonstrator developed in the project will be compared with a commercial lidar.

 

  • Project type: Joint project
  • Duration: 2020 – 2023
  • Financing: Funding by BMWK
  • Research partners: DLR – Institute of Networked Energy Systems, METEK GmbH, Energy & Meteo Systems GmbH, Abacus Laser GmbH

Contact:

University of Oldenburg
Institute of Physics – ForWind
Jörge Schneemann
Küpkersweg 70
D-26129 Oldenburg

Tel: +49 (0)441 / 798-5066
Fax: +49 (0)441 / 798-5099
Email: joerge.schneemann@uol.de

More information

WindRamp project at EnArgus (with information on project partners)

To EnArgus