Modeling harmonics of networks supplying nonlinear loads

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/26314

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.contributor	Universitat Politècnica de Catalunya. TIEG - Terrassa Industrial Electronics Group
dc.contributor	Universitat Politècnica de Catalunya. GOAPI - Grup d'Òptica Aplicada i Processament d'Imatge
dc.contributor	Universitat Politècnica de Catalunya. QSE - Qualitat del Subministrament Elèctric
dc.contributor.author	Lamich Arocas, Manuel
dc.contributor.author	Balcells Sendra, Josep
dc.contributor.author	Corbalán Fuertes, Montserrat
dc.contributor.author	Sainz Sapera, Luis
dc.contributor.author	Fernandez, Cristian
dc.date	2014
dc.identifier.citation	Lamich, M. [et al.]. Modeling harmonics of networks supplying nonlinear loads. A: International Symposium on Industrial Electronics. "Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on". Estambul: 2014, p. 2030-2034.
dc.identifier.citation	10.1109/ISIE.2014.6864929
dc.identifier.uri	http://hdl.handle.net/2117/26314
dc.language.iso	eng
dc.relation	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6864929
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria electrònica
dc.subject	Mathematical models
dc.subject	Neural networks (Computer science)
dc.subject	Loads (Mechanics)
dc.subject	Models matemàtics
dc.subject	Xarxes neuronals (Informàtica)
dc.title	Modeling harmonics of networks supplying nonlinear loads
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This work presents the development and validation of a model for electric networks supplying nonlinear loads (NLL). The model is based on Neural Networks (NN) and its purpose is the prediction of harmonic currents sank by the loads, in case of supply impedance changes caused by the insertion or releasing of neighboring loads or by the voluntary insertion of filters to reduce such harmonic currents. The NN is trained using data obtained from several Matlab simulations and the model is validated using the same network with different supply impedances and load conditions.
dc.description.abstract	Peer Reviewed

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