CAJ | 학술논문

电站汽温控制系统结构复杂，机组运行过程中影响主汽温稳定的因素众多。主蒸汽流量变化、锅炉燃烧状况改变等因素均可能干扰主汽温稳定，影响机组运行的经济性和安全性。基于模型的预测控制算法在应对诸如煤质变化引起的烟气侧不可测扰动时，由于缺乏对扰动的建模，控制效果不理想。针对该问题，通过对过热器进行机理建模，并在额定工况点进行局部线性化获得状态空间模型，提出基于多模型集的主汽温扰动抑制预测控制方法。当不考虑不可测扰动时，其等价于普通的预测控制算法。仿真结果表明，该方法能够有效抑制进入汽温系统的不可测扰动，进一步提高汽温的调节品质。
전참기온공제계통결구복잡，궤조운행과정중영향주기온은정적인소음다。주증기류량변화、과로연소상황개변등인소균가능간우주기온은정，영향궤조운행적경제성화안전성。기우모형적예측공제산법재응대제여매질변화인기적연기측불가측우동시，유우결핍대우동적건모，공제효과불이상。침대해문제，통과대과열기진행궤리건모，병재액정공황점진행국부선성화획득상태공간모형，제출기우다모형집적주기온우동억제예측공제방법。당불고필불가측우동시，기등개우보통적예측공제산법。방진결과표명，해방법능구유효억제진입기온계통적불가측우동，진일보제고기온적조절품질。
There are many factors affecting the stability of the main steam temperature (MST) in thermal power plant operation due to its complex structure. Variations of the main steam flow and boiler combustion condition are all possible disturbances affecting the stability of the MST, and further threatening the safety and economy of the entire power plant. Conventional model predictive control (MPC), because of its lack of disturbances modeling, often fails to reject unknown disturbances caused by uncertain disturbances such as coal quality variations in the fuel gas side. To solve this problem, this paper proposed a multiple disturbance model predictive control (MDMPC) for the MST system. An analytical superheater model was first established, and then a local state space model was derived at the rated load and was used in simulations. It proves that MDMPC is equivalent to the conventional MPC when no active disturbances exist. Simulation results also demonstrate the MDMPC’s successful rejection of unknown disturbances entering the MST system, which further improves the control quality of the MST system.