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A multi-objective predictive control strategy for enhancing primary frequency support with wind farms

Author
Siniscalchi, S.; de Prada, M.; Bianchi, F.; Ocampo-Martinez, C.A.; De Schutter, B.
Type of activity
Presentation of work at congresses
Name of edition
7th The Science of Making Torque From Wind
Date of publication
2018
Presentation's date
2018-06-20
Book of congress proceedings
Journal of Physics: Conference Series
First page
1
Last page
10
DOI
https://doi.org/10.1088/1742-6596/1037/3/032034 Open in new window
Repository
http://hdl.handle.net/2117/128137 Open in new window
URL
http://iopscience.iop.org/article/10.1088/1742-6596/1037/3/032034/meta Open in new window
Abstract
Nowadays, wind power plants (WPPs) should be able to dynamically change their power output to meet the power demanded by the transmission system operators. When the wind power generation exceeds the power demand, the WPP works in de-loading operation keeping some power reserve to be delivered into the grid to balance the frequency drop. This paper proposes to cast a model predictive control strategy as a multi-objective optimization problem which regulates the power set-points among the turbines...
Citation
Siniscalchi, S. [et al.]. A multi-objective predictive control strategy for enhancing primary frequency support with wind farms. A: Conference on the Science of Making Torque from Wind. "Journal of Physics: Conference Series". 2018.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

  • Siniscalchi Minna, Sara  (author and speaker )
  • de Prada Gil, Mikel  (author and speaker )
  • Bianchi, Fernando Daniel  (author and speaker )
  • Ocampo Martinez, Carlos A.  (author and speaker )
  • De Schutter, Bart  (author and speaker )