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Kalman filter estimation of the coal flow in power plants

pubblicazioni - Articolo

Kalman filter estimation of the coal flow in power plants

Siviglia, (Spagna). 12-15 Dicembre 2005

Kalman Filter Estimation of the Coal Flow in Power Plants

Jurij Paderno, Francesco Pretolani (CESI) Lalo Magni (Università di Pavia) Abstract: In this paper the Kalman filtering method is used to estimate the fuel flow in a coal-fired power plant. The results obtained with a standard Kalman approach based on a mill-boiler-turbine black box model and the ones obtained with an extended Kalman filter based on a furnace nonlinear physical model have been compared. A detailed nonlinear real time simulator of an Italian power plant is used as test bench. The simulations show that a good fuel flow estimation can be achieved allowing a substantial improvement of the regulation performances. Protocollo:A5042318 data:09/08/2005 PUBBLICATO A5042318 (PAD – 696819)

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