Optimization control of a pulverizing system on the basis of the estimation of the outlet coal powder flow of a coal mill

被引:15
|
作者
Gao, Yaokui [1 ]
Zeng, Deliang [2 ]
Liu, Jizhen [2 ]
Jian, Yifan [2 ]
机构
[1] North China Elect Power Univ, Key Lab Measurement & Control New Technol & Syst, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
关键词
Pulverizing system; Coal powder flow; Nonlinear dynamic model; Predictive control; MULTIMODEL PREDICTIVE CONTROL; MOISTURE;
D O I
10.1016/j.conengprac.2017.03.015
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study aimed to master the operating characteristics of a pulverizing system, improve the output control precision of the system, and reduce the fluctuation amplitude of the main operating parameters of coal-fired units. A nonlinear dynamic model of a direct-fired pulverizing system that considers the effect of coal moisture on the energy balance of a coal mill was established. Then, an estimated signal of the outlet coal powder flow of the coal mill was constructed as a new output control target of the pulverizing system. Finally, an output control optimization method for the pulverizing system was designed on the basis of this signal. Simulation results showed that the model effectively reflects the dynamic characteristics of a pulverizing system. In addition, the results of simulation were concordant with those of online measurements. The control scheme reduced the internal disturbances in the coal feed rate, thereby improving the tracking capability and control precision of the pulverizing system's output and enhancing the disturbance suppression capability of the mill outlet temperature. Thus, the designed control scheme can ensure the safe and stable operation of coal-fired units.
引用
收藏
页码:69 / 80
页数:12
相关论文
共 14 条
  • [1] Modelling and control of pulverizing system considering coal moisture
    Zeng, De-Liang
    Hu, Yong
    Gao, Shan
    Liu, Ji-Zhen
    ENERGY, 2015, 80 : 55 - 63
  • [2] Energy-saving and Optimization of Pulverizing System in Coal-fired Power Plant
    Li, Ji
    Wei, Jun
    Yang, Yongping
    RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7, 2012, 347-353 : 3151 - 3159
  • [3] Nonlinear Modeling and Inferential Multi-Model Predictive Control of a Pulverizing System in a Coal-Fired Power Plant Based on Moving Horizon Estimation
    Liang, Xiufan
    Li, Yiguo
    Wu, Xiao
    Shen, Jiong
    ENERGIES, 2018, 11 (03):
  • [4] Modeling of Coal Mill System Used for Fault Simulation
    Hu, Yong
    Ping, Boyu
    Zeng, Deliang
    Niu, Yuguang
    Gao, Yaokui
    ENERGIES, 2020, 13 (07)
  • [5] Coal mill model considering heat transfer effect on mass equations with estimation of moisture
    Li, Xinwen
    Wu, Yingchun
    Chen, Huafeng
    Chen, Xijiong
    Zhou, Yonggang
    Wu, Xuecheng
    Chen, Linghong
    Cen, Kefa
    JOURNAL OF PROCESS CONTROL, 2021, 104 : 178 - 188
  • [6] Experimental investigation on flow properties of biomass and pulverized coal binary powder mixtures
    Xu, Guiling
    Li, Menghui
    Lu, Ping
    CHEMICAL ENGINEERING COMMUNICATIONS, 2021, 208 (03) : 376 - 388
  • [7] Development and thermal calculation method of 0−1 mm pulverizing system for powdered coal-circulating fluidized bed boiler
    Shang M.
    Yao Y.
    Ke X.
    Zhou T.
    Huang Z.
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2024, 55 (04): : 1560 - 1566
  • [8] Dynamic characteristics and control method of the solar-coal energy complementary system
    Han, Xinrui
    Liu, Deying
    Li, Haoyu
    Wang, Yanhong
    Wang, Di
    ENERGY, 2024, 299
  • [9] Dynamic performance enhancement of solar-aided coal-fired power plant by control strategy optimization with solar/coal-to-power conversion characteristics
    Yan, Hui
    Chong, Daotong
    Wang, Zhu
    Liu, Ming
    Zhao, Yongliang
    Yan, Junjie
    ENERGY, 2022, 244
  • [10] Process Model-Assisted Optimization Control Method Based on Model Predictive Control and Deep Reinforcement Learning for Coordinated Control System in Coal-Fired Power Unit
    Dai, Bangwu
    Wang, Fuli
    Chang, Yuqing
    Chu, Fei
    Song, Shengjun
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2025, 22 : 228 - 239