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Predictive control of wind farms based on lexicographic minimizers for power reserve maximization

Author
Siniscalchi, S.; Bianchi, F.; Ocampo-Martinez, C.A.
Type of activity
Presentation of work at congresses
Name of edition
2018 Annual American Control Conference, ACC 2018
Date of publication
2018
Presentation's date
2018-06-29
Book of congress proceedings
Proceedings of the American Control Conference
First page
701
Last page
706
DOI
10.23919/ACC.2018.8431865
Repository
http://hdl.handle.net/2117/132108 Open in new window
URL
https://ieeexplore-ieee-org.recursos.biblioteca.upc.edu/document/8431865 Open in new window
Abstract
This paper presents a model predictive control (MPC) strategy aimed to regulate the total power delivered to the grid while maximizing the power reserve. Nowadays, the high participation of wind energy in the electricity generation requires that wind power plants (WPPs) also provide ancillary services. This fact implies that WPPs must be capable of temporally increasing the power generation to help, for instance, the primary-frequency control. To this end, WPPs work below the maximum generation ...
Citation
Siniscalchi, S.; Bianchi, F.; Ocampo-Martinez, C.A. Predictive control of wind farms based on lexicographic minimizers for power reserve maximization. A: American Control Conference. "Proceedings of the American Control Conference". 2018, p. 701-706.
Keywords
Frequency control, Optimization, Rotors, Wind farms, Wind power generation, Wind speed, Wind turbines
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 )