2011 International Conference on Process Automation, Control and Computing 2011
DOI: 10.1109/pacc.2011.5978971
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Kalman Filter Based State Estimation of a Thermal Power Plant

Abstract: Tangentially-fired furnaces (TFF) are vortex-combustion units and are widely used in steam generators of thermal power plants. Perfect modeling and simulation of furnace gas temperature is quite difficult, due to its complex aerodynamics of burning particles, flame stability and hot gas flow distribution throughout the furnace. The temperature of the furnace gas depends on many parameters such as the inclination angle (tilt angle), fuel quality, burn out percentage and the flow rates in the burners for each of… Show more

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Cited by 7 publications
(4 citation statements)
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“…Prasad et al used extended KF (EKF) for the model predictive control of a thermal power plant . KF and EKF have been used to estimate properties like coal mass flow, and furnace gas density in coal-fired power plants, where EKF estimates were found to yield the least estimation error. , Wallace and Clarke employed a KF-based controller to control the final steam outlet temperature from a superheater . Valsalam et al implemented a KF-based predictive controller to optimally control the main steam temperature of a thermal power plant .…”
Section: Introductionmentioning
confidence: 99%
“…Prasad et al used extended KF (EKF) for the model predictive control of a thermal power plant . KF and EKF have been used to estimate properties like coal mass flow, and furnace gas density in coal-fired power plants, where EKF estimates were found to yield the least estimation error. , Wallace and Clarke employed a KF-based controller to control the final steam outlet temperature from a superheater . Valsalam et al implemented a KF-based predictive controller to optimally control the main steam temperature of a thermal power plant .…”
Section: Introductionmentioning
confidence: 99%
“…The ensemble Kalman algorithm were used for detecting sensor fault using multi -sensor decentralized fusion and multi-sensor decentralized synchronous and asynchronous methodology [21]. Fault detection in nonlinear system has also been studied using EKF and it gives better results than linear Kalman filter, but it needs more computational time [10]and this technique have been used for the analysis of buffer tank system for detecting sticky, stuck and drift faults by considering time of occurrence as one parameter for finding fault model, but this increases the computational burden [19]. The convergence time for detecting sensor faults have been reduced in spacecraft application by the fast converging EKF with suitable initialization of covariance matrix [7].…”
Section: Introductionmentioning
confidence: 99%
“…Considering these studies, the present article intends to face the LDI problem when the fluid undergoes temperature variations, with a nonlinear observer based on an Extended Kalman Filter (EKF ) [16]- [18], in order to obtain the leak coefficients: position and intensity, in this critical situation. To do that, a finite-dimension nonlinear model resulting from the classical infinite-dimensional description of water dynamics in pipelines is derived.…”
Section: Introductionmentioning
confidence: 99%