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Partitioning approach for large wind farms: active power control for optimizing power reserve

Author
Siniscalchi, S.; Ocampo-Martinez, C.A.; Bianchi, F.; de Prada, M.; De Schutter, B.
Type of activity
Presentation of work at congresses
Name of edition
57th IEEE Conference on Decision and Control
Date of publication
2018
Presentation's date
2018
Book of congress proceedings
2018 IEEE Conference on Decision and Control (CDC)
First page
3183
Last page
3188
Publisher
IEEE Press
DOI
https://doi.org/10.1109/CDC.2018.8619052 Open in new window
Project funding
Innovative controls for renewable sources Integration into smart energy systems
Repository
http://hdl.handle.net/2117/128818 Open in new window
URL
https://ieeexplore.ieee.org/document/8619052 Open in new window
Abstract
Nowadays, large wind farms are expected to guarantee stability of the electrical grid contributing with ancillary services, such as frequency support. To this end, wind farm controllers must set the power generation of each turbine to compensate generation and demand imbalances. With the aim of optimizing primary frequency support, this paper proposes a partitioning approach to split large wind farms into several disjoint subsets of turbines according to the wake propagations through the wind fa...
Citation
Siniscalchi, S. [et al.]. Partitioning approach for large wind farms: active power control for optimizing power reserve. A: IEEE Conference on Decision and Control. "2018 IEEE Conference on Decision and Control (CDC)". IEEE Press, 2018, p. 3183-3188.
Keywords
automation, control theory, optimisation, partitioning of large-scale systems, predictive control, wind farms control
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

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