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A wind farm operational strategy for primary frequency support optimization

Author
Siniscalchi, S.; Bianchi, F.; Ocampo-Martinez, C.A.; de Prada, M.
Type of activity
Presentation of work at congresses
Name of edition
2017 Wind Europe Conference and Exhibition
Date of publication
2017
Presentation's date
2017
Book of congress proceedings
The proceedings of the 2017 Wind Europe Conference and Exhibition
First page
1
Last page
1
Project funding
Innovative controls for renewable sources Integration into smart energy systems
Repository
http://hdl.handle.net/2117/116752 Open in new window
URL
http://proceedings.windeurope.org/confex2017/posters/PO061.pdf Open in new window
Abstract
With the aim of distributing the total power required at the wind farm control level for each wind turbine, we proposed a multi-objective model predictive control scheme able to (i) ensure the tracking of the power demanded by the electrical grid; (ii) provide primary frequency control by de-loading the wind turbines; and (iii) maximize the total power reserve when the available power is higher than the power demand.
Citation
Siniscalchi, S., Bianchi, F., Ocampo-Martinez, C.A., de Prada, M. A wind farm operational strategy for primary frequency support optimization. A: Wind Europe Conference and Exhibition. "The proceedings of the 2017 Wind Europe Conference and Exhibition". 2017, p. 1.
Keywords
Automation, control theory, frequency support, model predictive control, optimisation, wind farms
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

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