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Título:
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An interval NLPV parity equations approach for fault detection and isolation of a wind farm
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Autor/a:
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Blesa Izquierdo, Joaquim; Jiménez, Pedro; Rotondo, Damiano; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
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Abstract:
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In this paper, the problem of fault diagnosis of a wind farm is addressed using interval nonlinear parameter varying (NLPV) parity equations. Fault detection is based on the use of parity equations assuming unknown but bounded description of the noise and modeling errors. The fault detection test is based on checking the consistency between the measurements and the model by finding if the formers are inside the interval prediction bounds. The fault isolation algorithm is based on analyzing the observed fault signatures on-line, and matching them with the theoretical ones obtained using structural analysis. Finally, the proposed approach is tested using the wind farm benchmark proposed in the context of the wind farm FDI/FTC competition. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control
-Wind power plants
-Automatic control
-Uncertainty
-Equations
-Turbines
-Fault diagnosis
-Wind farm
-Interval NLPV parity equations
-Parcs eòlics
-Control automàtic
-Equacions
-Incertesa
-Turbines |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Artículo |
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Editor:
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Institute of Electrical and Electronics Engineers (IEEE)
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Compartir:
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