A post-combustion co 2 Improved ina feed-forward control method for capture system

Abstract

The present invention relates to an improved INA feedforward control method for a post-combustion CO2 capture system. By means of identifying a controlling variable and a controlled variable of a post-combustion CO2 capture system, an improved INA method is designed, and the integrated design of an improved INA and a feedforward controller is completed, thereby realizing the control of a CO2 capture rate y1 and a reboiler temperature y2. After being applied to a post-combustion CO2 capture system, the present invention can quickly and stably track a changing CO2 capture rate set value, effectively suppresses the effect of smoke disturbance and has a good anti-interference capability.

Description

technical field [0001] The invention belongs to the technical field of thermal control, in particular to a method for post-combustion CO 2 Improved INA feed-forward control method for capture systems. Background technique [0002] With increasing global warming, controlling CO 2 The production of CO2 has gradually become one of the important tasks in the process of industrialization and urbanization, and 40%-50% of CO in my country 2 from thermal power units. Therefore, in order to reduce the CO of coal-fired power plants 2 emissions, the need for post-combustion CO2 in coal-fired power plants 2 Capture system to absorb CO generated during power generation 2 . [0003] post-combustion CO 2 The capture system is based on chemical absorption and separates CO directly from the flue gas after combustion in the power plant 2 , is the current CO 2 The mainstream technology adopted by the capture power station in recent years. And flexible controllability is CO 2 One of ...

AI Technical Summary

Problems solved by technology

Although this method has a good global nonlinear control ability, it can effectively adapt to the needs of the system in a wide range of variable conditions, and quickly track the CO 2 Capture rate set point, increase CO 2 The level of rapid and flexible operation of the capture system depth, but there are still obvious deficiencies: First, CO 2 The non-linearity of the capture system is not obvious. The multi-model method and the application of multiple predictive controllers make the operation complicated and the calculation amount is large, which is not conducive to engineering implementation. Second, in industrial control, the PID method is usually used To solve the problem, the predictive control method using membership degree weighting is difficult to realize in engineering, and jumps are prone to occur when the working conditions change

Although the model has high fitting accuracy, good tracking effect, and strong model generalization ability, there are still obvious deficiencies: First, the improved particle swarm optimization algorithm used is limited to the identification of model parameters and cannot be applied to post-combustion CO 2 The second is that the improved particle swarm algorithm requires data preprocessing in advance and is applied to off-line calculations. In the industry, if the object changes under disturbance conditions, the object model cannot be obtained in real time.

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