Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/13382

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.contributor	Universitat Politècnica de Catalunya. CITCEA - Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments
dc.contributor.author	Martinez Rojas, Marcela
dc.contributor.author	Sumper, Andreas
dc.contributor.author	Gomis Bellmunt, Oriol
dc.contributor.author	Sudrià Andreu, Antoni
dc.date	2011-12
dc.identifier.citation	Martinez, M. [et al.]. Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search. "Applied energy", Desembre 2011, vol. 88, núm. 12, p. 4678-4686.
dc.identifier.citation	0306-2619
dc.identifier.citation	10.1016/j.apenergy.2011.06.010
dc.identifier.uri	http://hdl.handle.net/2117/13382
dc.language.iso	eng
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::Enginyeria electrònica
dc.subject	Electronics engineers
dc.subject	Energia elèctrica
dc.title	Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	In this paper, an optimization method for the reactive power dispatch in wind farms (WF) is presented. Particle swarm optimization (PSO), combined with a feasible solution search (FSSPSO) is applied in order to optimize the reactive power dispatch, taking into consideration the reactive power requirement at point of common coupling (PCC), while active power losses are minimized in a WF. The reactive power requirement at PCC is included as a restriction problem and is dealt with feasible solution search. Finally an individual set point, particular for each wind turbine (WT), is found. The algorithm is tested in a WF with 12 WTs, taking into consideration different control options and different active power output levels.
dc.description.abstract	Peer Reviewed

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