Robust & nonlinear control of an ultra-supercritical coal fired once-through boiler-turbine unit in order to optimize the uncertain problem

被引:6
作者
Esmaeili, Mohammad [1 ]
Moradi, Hamed [1 ]
机构
[1] Sharif Univ Technol, Dept Mech Engn, POB 111559567, Tehran, Iran
关键词
Ultra-supercritical boiler-turbine; Multivariable systems control; Nonlinear-dynamics; RobustH(infinity) control; Nonlinear control; Uncertainty; MODEL-PREDICTIVE CONTROL; SYSTEM; BIFURCATION; DESIGN;
D O I
10.1016/j.energy.2023.128312
中图分类号
O414.1 [热力学];
学科分类号
摘要
The ultra-supercritical once-through boiler (OTB) unit is an advanced power generation technology with high plant efficiency and low emissions. However, it is difficult to realize a coordinate control for the ultra-supercritical OTB unit to achieve the fast and stable dynamic response during the load tracking and grid frequency disturbances and in the presence of unavoidable uncertainties. In this paper, an accurate grey box multivariable coupled nonlinear model of an ultra-supercritical boiler-turbine unit is considered. Steam pressure at throttle valve, specific enthalpy in separator and active power are adjusted at desired values by manipulation of the fuel rate command, feedwater rate command and throttle valve opening. In addition to the mentioned accurate model, limitations of operational parameters and uncertainty sources are considered in the controller design. This makes this research unique from previous works. According to affine nonlinear control theory, a nonlinear robust sliding mode controller is developed. Then using MATLA B mu - DK iteration syntax, a linear H-infinity (H-infinity) robust control is synthesized with selecting proper weight functions. This method is suitable for all types of power plants with a similar mathematical modeling approach. Simulations in MATLAB Simulink toolbox reveals that both designed controllers achieve appropriate performance in the presence of uncertainties and parameters' limitations, but nonlinear controller has better performance. Finally, deficiencies of a linear controller with respect to the proposed designed robust controllers are denoted.
引用
收藏
页数:19
相关论文
共 36 条
  • [1] Fuzzy K-Means Cluster Based Generalized Predictive Control of Ultra Supercritical Power Plant
    Cheng, Chuanliang
    Peng, Chen
    Zhang, Tengfei
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (07) : 4575 - 4583
  • [2] Deep-Neural-Network-Based Economic Model Predictive Control for Ultrasupercritical Power Plant
    Cui, Jinghan
    Chai, Tianyou
    Liu, Xiangjie
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (09) : 5905 - 5913
  • [3] Dulau M., EFFECTS WEIGHTING FU, P46
  • [4] A dynamic nonlinear model for a wide-load range operation of ultra-supercritical once-through boiler-turbine units
    Fan, He
    Su, Zhi-gang
    Wang, Pei-hong
    Lee, Kwang Y.
    [J]. ENERGY, 2021, 226
  • [5] A L1-LEMPC hierarchical control structure for economic load-tracking of super-critical power plants
    Han, Siwei
    Shen, Jiong
    Pan, Lei
    Sun, Li
    Cao, Chengyu
    [J]. ISA TRANSACTIONS, 2020, 96 (96) : 415 - 428
  • [6] Coordinated control system modeling of ultra-supercritical unit based on a new fuzzy neural network
    Hou, Guolian
    Xiong, Jian
    Zhou, Guiping
    Gong, Linjuan
    Huang, Congzhi
    Wang, Shunjiang
    [J]. ENERGY, 2021, 234
  • [7] Data-driven model identification of boiler-turbine coupled process in 1000 MW ultra-supercritical unit by improved bird swarm algorithm
    Huang, Congzhi
    Sheng, Xinxin
    [J]. ENERGY, 2020, 205 (205)
  • [8] Huang YX, 2017, CHIN AUTOM CONGR, P3860, DOI 10.1109/CAC.2017.8243453
  • [9] GA-based nonlinear predictive switching control for a boiler-turbine system
    Jie Wu
    Jiong Shen
    Mattias Krug
    Sing Kiong Nguang
    Yiguo Li
    [J]. Journal of Control Theory and Applications, 2012, 10 (1): : 100 - 106
  • [10] Khalil H., 2002, NONLINEAR SYSTEMS, V3