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

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dc.contributor	Institut de Recerca en Energía de Catalunya
dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author	Siniscalchi Minna, Sara
dc.contributor.author	Prada Gil, Mikel de
dc.contributor.author	Bianchi, Fernando Daniel
dc.contributor.author	Ocampo-Martínez, Carlos
dc.contributor.author	De Schutter, Bart
dc.date	2018
dc.identifier.citation	Siniscalchi, S. [et al.]. A multi-objective predictive control strategy for enhancing primary frequency support with wind farms. A: TORQUE 2018 - 7th The Science of Making Torque From Wind. "Journal of Physics: Conference Series". 2018.
dc.identifier.citation	17426588
dc.identifier.citation	10.1088/1742-6596/1037/3/032034
dc.identifier.uri	http://hdl.handle.net/2117/128137
dc.language.iso	eng
dc.relation	http://iopscience.iop.org/article/10.1088/1742-6596/1037/3/032034/meta
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Energies::Energia eòlica
dc.subject	Wind power
dc.subject	Energia eòlica
dc.title	A multi-objective predictive control strategy for enhancing primary frequency support with wind farms
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.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 in order to track the power demand profile, to maximize the power reserve, as well as to minimize the power losses in the inter-arrays connecting the wind turbines within the wind farm collection grid. The performance of the proposed control approach was evaluated for a wind farm of 12 turbines using a wind farm simulator to model the dynamic behavior of the wake propagation through the wind farm.

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