Model-free control for wind farms using a gradient estimation-based algorithm

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/84797

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	Barreiro Gómez, Julián
dc.contributor.author	Ocampo-Martínez, Carlos
dc.contributor.author	Bianchi, Fernando Daniel
dc.contributor.author	Quijano Silva, Nicanor
dc.date	2015
dc.identifier.citation	Barreiro, J., Ocampo-Martinez, C.A., Bianchi, F., Quijano, N. Model-free control for wind farms using a gradient estimation-based algorithm. A: European Control Conference. "2015 European Control Conference (ECC 2015): Linz, Austria, 15-17 July 2015". Linz: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 1516-1521.
dc.identifier.citation	10.1109/ECC.2015.7330753
dc.identifier.uri	http://hdl.handle.net/2117/84797
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7330753
dc.relation	info:eu-repo/grantAgreement/EC/FP7/318556/EU/Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks/EFFINET
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	Wind turbines--Automatic control
dc.subject	power generation control. model-free control
dc.subject	gradient estimation
dc.subject	population dynamics
dc.subject	evolutionary game theory
dc.subject	Turbines eòliques
dc.title	Model-free control for wind farms using a gradient estimation-based algorithm
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Wind turbines working close to other turbines experience interactions that affect the power production. These interactions arise as a consequence of wakes caused by upstream wind turbines. In order to achieve a more effective and precise control of the power generated by wind farms, the control strategy must consider these interactions. However, the phenomena involved in wake effects are complex especially in cases of large number of turbines. This paper presents the implementation of a gradient estimation-based algorithm as a model-free control for two different control schemes aimed to maximize the energy capture of a wind farm. One control is centralized, leaving to a supervisor the task of command computation and the other topology is decentralized, distributing the performing generation among wind turbines. This latter scheme aims to increase the reliability of the wind farm operation by reducing the communications needed to fulfill the objective of maximizing energy capture. Both control schemes are evaluated by simulation in the case of three-turbine wind farm.
dc.description.abstract	Peer Reviewed

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