电厂湿法烟气脱硫过程优化控制研究

深入研究了具有混杂系统特性的电厂湿法烟气脱硫(WFGD)过程的优化与控制问题;运用混合逻辑动态的建模方法(Mixed Logical Dynamic)建立了WFGD过程的MLD模型,基于MLD模型的预测控制方法把WFGD过程优化问题转化为实时求解混合整数规划(MIQP)问题,实时给出了WFGD过程优化运行的连续决策变量(吸收塔浆液的PH值设定)和离散决策变量(循环浆液泵开启台数)的最优解;用同样方法实现WFGD过程基础回路级中具有非线性动态的PH对象的控制;仿真表明基于MLD模型预测控制方法很好地解决了WFGD过程的优化与控制问题。

Research on Optimal Control of Power Plant Wet Flue Gas Desulphurization Process

The optimization and control problem of Wet Flue Gas Desulphurization in power plant was studied. Mixed logical dynamics model was built to describe hybrid phenomenon of the WFGD process. Based on the mixed logic dynamics model of WFGD, the predictive control optimization problem was solved using the Mixed Integer Quadratic program (MIQP) solver. Therefore the optimal discrete decision variable (the number of LG pump) and the continuous variable decision variable (PH set-point) were obtained on line. The real-time optimization was implemented. An MLD model of PH was also developed based on which the predictive controller of PH was designed. The simulation results indicate that the predictive control based on MLD model scheme presented has good effect.