A non-centralized predictive control strategy for wind farm active power control: a wake-based partitioning approach

Siniscalchi-Minna, Sara; Bianchi, Fernando D.; Ocampo-Martínez, Carlos; Domínguez-García, José Luis; De Schutter, Bart

artículo de publicación periódica.page.titleprefix
A non-centralized predictive control strategy for wind farm active power control: a wake-based partitioning approach

dc.contributor.author	Siniscalchi-Minna, Sara
dc.contributor.author	Bianchi, Fernando D.
dc.contributor.author	Ocampo-Martínez, Carlos
dc.contributor.author	Domínguez-García, José Luis
dc.contributor.author	De Schutter, Bart
dc.date	info:eu-repo/date/embargoEnd/2022-05-01
dc.date.accessioned	2020-07-01T19:02:05Z
dc.date.available	2020-07-01T19:02:05Z
dc.date.issued	2020-05
dc.description.abstract	"Owing to wake effects, the power production of each turbine in a wind farm is highly coupled to the operating conditions of the other turbines. Wind farm control strategies must take into account these couplings and produce individual power commands for each turbine. In this case, centralized control approaches might be prone to failures due to the high computational burden and communication dependency. To overcome this problem, this paper proposes a non-centralized scheme based on splitting the wind farm into almost uncoupled sets of turbines by solving a mixed-integer partitioning problem. In each set of turbines, a model predictive control strategy seeks to optimize the distribution of the power set-points among turbines such that the impact of the power losses due to the wake effect is reduced. Then, a supervisory controller coordinates the generation of each group to satisfy the power demanded by the grid operator. The effectiveness of the proposed control scheme in terms of reduction of computational costs and power regulation is confirmed by simulations for a wind farm of 42 turbines."	en
dc.identifier.issn	0960-1481
dc.identifier.uri	http://ri.itba.edu.ar/handle/123456789/2237
dc.language.iso	en	en
dc.relation	info:eu-repo/semantics/altIdentifier/doi/10.1016/j.renene.2019.12.139
dc.relation	info:eu-repo/grantAgreement/UE/H2020/EU. Bruselas
dc.relation	info:eu-repo/grantAgreement/Marie Sklodowska-Curie/INCITE/675318/SP. Barcelona
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	CONTROL PREDICTIVO	es
dc.subject	ALGORITMOS	es
dc.subject	ENERGIA EOLICA	es
dc.title	A non-centralized predictive control strategy for wind farm active power control: a wake-based partitioning approach	en
dc.type	Artículos de Publicaciones Periódicas	es
dc.type	info:eu-repo/semantics/acceptedVersion
dspace.entity.type	Artículo de Publicación Periódica
itba.description.filiation	Fil: Siniscalchi-Minna, Sara. Institut de Recerca en Energia de Catalunya; España.
itba.description.filiation	Fil: Siniscalchi-Minna, Sara. Universitat Politècnica de Catalunya; España.
itba.description.filiation	Fil: Bianchi, Fernando D. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
itba.description.filiation	Fil: Bianchi, Fernando D. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Ocampo-Martínez, Carlos. Universitat Politècnica de Catalunya; España.
itba.description.filiation	Fil: Domíguez-García José Luis. Institut de Recerca en Energia de Catalunya; España.
itba.description.filiation	Fil: De Schutter, Bart. Technische Universiteit Delft; Países Bajos.