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Controller design for a large-scale ultrasupercritical once-through boiler power plant / K. Y. Lee in IEEE transactions on energy conversion, Vol. 25, N° 4 (Décembre 2010) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 25, N° 4 (Décembre 2010) . - pp. 1063 - 1070 Titre : Controller design for a large-scale ultrasupercritical once-through boiler power plant Type de document : texte imprimé Auteurs : K. Y. Lee, Auteur ; Van Sickel, J.H., Auteur ; Hoffman, J. A., Auteur Année de publication : 2011 Article en page(s) : pp. 1063 - 1070 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : Boilers;  neural  nets;  power  system  control;  power  system  simulation;  three-term  control Résumé : A large-scale once-through-type ultrasupercritical boiler power plant is investigated for the development of an analyzable model for use in developing an intelligent control system. Using data from the power plant, a model is realized using dynamically recurrent neural networks (NN). This requires the partitioning of multiple subsystems, which are each represented by an individual NN that when combined form the whole plant model. Modified predictive optimal control was used to drive the plant to desired states; however, due to the computational intensity of this approach, it could not be executed quickly enough to satisfy project requirements. As an alternative, a reference governor was implemented along with a PID feedback control system that utilizes intelligent gain tuning, which, while more complicated, satisfied the computational speed required for the controller to be realized. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5594627&sortType%3Das [...] [article] Controller design for a large-scale ultrasupercritical once-through boiler power plant [texte imprimé] / K. Y. Lee, Auteur ; Van Sickel, J.H., Auteur ; Hoffman, J. A., Auteur . - 2011 . - pp. 1063 - 1070. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 25, N° 4 (Décembre 2010) . - pp. 1063 - 1070 Mots-clés : Boilers;  neural  nets;  power  system  control;  power  system  simulation;  three-term  control Résumé : A large-scale once-through-type ultrasupercritical boiler power plant is investigated for the development of an analyzable model for use in developing an intelligent control system. Using data from the power plant, a model is realized using dynamically recurrent neural networks (NN). This requires the partitioning of multiple subsystems, which are each represented by an individual NN that when combined form the whole plant model. Modified predictive optimal control was used to drive the plant to desired states; however, due to the computational intensity of this approach, it could not be executed quickly enough to satisfy project requirements. As an alternative, a reference governor was implemented along with a PID feedback control system that utilizes intelligent gain tuning, which, while more complicated, satisfied the computational speed required for the controller to be realized. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5594627&sortType%3Das [...]