A New Wind Farm Active Power Control Strategy to Boost Tracking Margins in High-demand Scenarios
Author:
Affiliation:
1. Technical University of Munich, Wind Energy Institute,Garching,Germany,85748
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156275.pdf?arnumber=10156275
Reference28 articles.
1. A constrained model predictive wind farm controller providing active power control: an LES study
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3. Active Power Control of Waked Wind Farms * *J.W. van Wingerden would like to acknowledge the CL-Windcon project. This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 727477. L. Pao gratefully acknowledges funding provided by the Hanse-Wissenschaftskolleg Institute for Advanced Study, Delmenhorst, Germany. J. Aho has been supported in part by the Renewable and Sustainable Energy Institute and a University of Colorado Boulder Graduate School Summer Fellowship.
4. Model Predictive Active Power Control of Waked Wind Farms
5. Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy
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