Optimization of coordinated control system considering on-line correction of coal quality

In this paper, a simplified non-linear model of ultra-supercritical units and a soft sensor model for net calorific value of coal are studied. The generalized predictive control algorithm is applied to the control scheme, and the net calorific value is taken into account in feedforward of predictive controller to enhance the accuracy of prediction. Simulation results show that the control scheme can effectively inhibit the disturbance of coal quality, thereby improving the variable load rate and stability of the unit. The results have been successfully applied to a 660 MW thermal power unit, and have achieved good control performance.