• DocumentCode
    678133
  • 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
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    4511
  • Lastpage
    4515
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.767
  • Filename
    6722522