Title :
Research on the Application of Multi-model Predictive Control in Coordinated Control of 1,000 MW Ultra-supercritical Unit
Author :
Xi Zhang ; Shihe Chen ; Weiwu Yan ; Guoliang Wang
Author_Institution :
China Southern Power Grid, Guangdong Electr. Power Res. Inst., Guangzhou, China
Abstract :
In this paper, an ultra-supercritical unit coordinated control strategy based on multi-model predictive control is proposed in light of the nonlinear characteristics of the ultra-supercritical unit. The strategy utilizes the nonlinear process (linear uncertain process) at multiple working points to divide the target workspace into several subspaces, a relatively accurate fixed model can be found in each subspace. Based on this, a global approximation model of complex object could be constructed as the predictive model by using weighted sub model. Then the output of predictive controller is calculated with linear or nonlinear optimization method. According to the simulation and application results, the control strategy as well as the algorithm is proved to be effective.
Keywords :
approximation theory; power generation control; predictive control; steam power stations; coordinated control; global approximation model; multimodel predictive control; nonlinear optimization method; ultrasupercritical unit; weighted sub model; Boilers; Feeds; Optimization; Predictive control; Predictive models; Steady-state; Coordinated control; Multi-Model; Predictive control; Ultra-Supercritical Unit;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.767