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Wind speed estimation algorithm in the presence of observation noise / Ken Mok in Transactions of the ASME. Journal of solar energy engineering, Vol. 132 N° 1 (Janvier 2010) 

Public ISBD [article]  in Transactions of the ASME. Journal of solar energy engineering > Vol. 132 N° 1 (Janvier 2010) . - pp. [011009/1-6] Titre : Wind speed estimation algorithm in the presence of observation noise Type de document : texte imprimé Auteurs : Ken Mok, Auteur Année de publication : 2010 Article en page(s) : pp. [011009/1-6] Note générale : Energie Solaire Langues : Anglais (eng) Mots-clés : Angular  velocity  measurement  Maximum  likelihood  estimation  Noise  Stochastic  processes  Wind  turbines Index. décimale : 621.47 Résumé : A stochastic hub-height wind speed estimation algorithm for wind turbines, which requires only the rotor angular velocity measurement in the presence of observation noise is proposed. It is assumed that the power curve and the total inertia of the rotor are known a priori. We use the maximum likelihood estimator to identify the hub-height wind speed, which is formulated as one of the state variables in the nonlinear model. The theory and algorithm are verified by both simulated and experimental data in the presence of measurement noise. The effects of the initial guess, the noise variance, and the time history are discussed. DEWEY : 621.47 ISSN : 0199-6231 En ligne : http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JSEEDO00013200 [...] [article] Wind speed estimation algorithm in the presence of observation noise [texte imprimé] / Ken Mok, Auteur . - 2010 . - pp. [011009/1-6]. Energie Solaire Langues : Anglais (eng) in Transactions of the ASME. Journal of solar energy engineering > Vol. 132 N° 1 (Janvier 2010) . - pp. [011009/1-6] Mots-clés : Angular  velocity  measurement  Maximum  likelihood  estimation  Noise  Stochastic  processes  Wind  turbines Index. décimale : 621.47 Résumé : A stochastic hub-height wind speed estimation algorithm for wind turbines, which requires only the rotor angular velocity measurement in the presence of observation noise is proposed. It is assumed that the power curve and the total inertia of the rotor are known a priori. We use the maximum likelihood estimator to identify the hub-height wind speed, which is formulated as one of the state variables in the nonlinear model. The theory and algorithm are verified by both simulated and experimental data in the presence of measurement noise. The effects of the initial guess, the noise variance, and the time history are discussed. DEWEY : 621.47 ISSN : 0199-6231 En ligne : http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JSEEDO00013200 [...]