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Data-driven predictive control method for scr denitrification disturbance suppression of thermal power units

A thermal power unit, data-driven technology, applied in the direction of separation method, adaptive control, general control system, etc., can solve the problems of optimality of damage prediction control, lower control quality, etc.

Active Publication Date: 2018-03-20
SOUTHEAST UNIV
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Problems solved by technology

There is also a method to combine disturbance observation technology with predictive control, but it generally adopts a simple method of directly compensating the disturbance estimate to the control effect, which destroys the optimality of predictive control and reduces the control quality

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  • Data-driven predictive control method for scr denitrification disturbance suppression of thermal power units
  • Data-driven predictive control method for scr denitrification disturbance suppression of thermal power units
  • Data-driven predictive control method for scr denitrification disturbance suppression of thermal power units

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Embodiment Construction

[0054] The control method of the present invention is applied to the simulation model of the SCR denitrification system of a 600MW thermal power unit, and the goal of the control is to make the reactor outlet nitrogen oxide NO x Concentration tracking setpoint.

[0055] The invention discloses a data-driven SCR denitrification disturbance suppression prediction control method for thermal power units. Based on the subspace identification method, the input and output data of the system are used to estimate the impact of unknown disturbances on the system, and the estimated disturbance value is used to improve the prediction accuracy of the model without damaging the system. Under the premise of predictive control optimality, the disturbance effect is actively suppressed, and the algorithm has the same setting value tracking and adjustment capabilities as ordinary predictive controllers under the condition of no disturbance. The invention generally improves the adjustment quality ...

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Abstract

The invention discloses a data-driven thermal power generation unit SCR denitration disturbance suppression prediction control method. The method can estimate influence of unknown disturbance to the system with a selective catalytic reduction (SCR) flue gas denitration system as a controlled object, opening signals of an ammonia injection valve as system control input and reactor outlet nitrogen oxide concentration as system output, on the basis of a subspace identification method and by utilizing system input / output data; model prediction precision is improved by utilizing observation disturbance values; and under the condition of not damaging prediction control optimality, disturbance is overcome actively, and better control quality is realized.

Description

technical field [0001] The invention belongs to the technical field of thermal automatic control, in particular to a data-driven SCR denitrification disturbance suppression prediction control method for thermal power units. Background technique [0002] With the emphasis on improving the quality of the atmospheric environment and protecting the ecological environment, the promotion of denitrification has been included in the key projects of energy conservation and emission reduction in the national "Twelfth Five-Year Plan". The latest national emission standards require that the nitrogen oxides NO x Emission concentration should be lower than 100mg / m 3 . By injecting ammonia, the NO in the flue gas x The Selective Catalytic Reduction (SCR) denitrification system that reduces to harmless nitrogen and water vapor is the mainstream equipment for thermal power units to reduce nitrogen emissions, and is the process object that needs to be monitored during the operation of the u...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04B01D53/90B01D53/56
CPCB01D53/8625B01D53/90B01D2251/2062B01D2258/0283G05B13/042
Inventor 吴啸沈炯李益国
Owner SOUTHEAST UNIV
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