Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Modeling and Parameter Identification of Coal Mill

  • Shin, Hwi-Beom (Department of Electrical Engineering, Gyeongsang National University) ;
  • Li, Xin-Lan (Department of Electrical Engineering, Gyeongsang National University) ;
  • Jeong, In-Young (Korea Western Power Co., Ltd.) ;
  • Park, Jong-Man (Korea Western Power Co., Ltd.) ;
  • Lee, Soon-Young (Department of Electrical Engineering, Gyeongsang National University)
  • Published : 2009.09.20
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Abstract

The coal mill used in the coal-fired power plants is modeled in view of the controller design rather than the educational simulator. The coal mass flow and the outlet temperature are modeled by reinvestigating the mass balance and heat balance models physically. The archived data from a plant database are utilized to identify the model parameters. It can be seen that the simulated model outputs are well matched with the measured ones. It is also expected that the proposed model is useful for the controller design.

Keywords

References

  1. J. L. Wei, J. H. Wang, and Q. H. Wu, "Development of a multisegment coal mill model using an evolutionary computation technique," IEEE Trans. Energy Convers., vol. 22, no. 3, pp.718-727, Sept. 2007 https://doi.org/10.1109/TEC.2007.895459
  2. D. Flynn, Thermal power plant: simulation and control, IEE Power & Energy Series 43, pp. 64-79, 2003
  3. Y. G. Zhang, Q. H. Wu, J. Wang, G. Oluwande, D.Matts, and X. X. Zhou, "Coal mill modeling by machine learning based on on-site measurement," IEEE Trans. Energy Convers., vol. 17, no. 4, pp. 549–555, Dec. 2002 https://doi.org/10.1109/TEC.2002.805182
  4. G. Zhou, J. Si, and C. W. Taft, "Modeling and simulation of C-E deep bowl pulverizer," IEEE Trans. Energy Convers., vol. 15, no. 3, pp. 312-322, Sept. 2000 https://doi.org/10.1109/60.875498
  5. K. E. Bollinger and H. R. Snowden, "Field test results for multi-variable control of a coal-mill," IEEE Trans. Power Syst., vol. PWRS-1, pp. 96–100, Feb. 1986
  6. K. E. Bollinger and H. R. Snowden, "The experimental determination of coal mill models," IEEE Trans. Power App. Syst., vol. PAS-102, no. 6, pp. 1473–1477, Jan. 1983 https://doi.org/10.1109/TPAS.1983.317855
  7. H. Aling and J. Heintze, "Closed loop identification of a 600 MW Benson boiler," in Proc. 31st conf. decision control, pp. 909-914, Dec. 1992
  8. Y. Fukayama, K. Hirasawa, K. Shimohira, and H. Kanemoto, "An adaptive state estimator for pulverizer control using moments of particle size distribution," IEEE Trans. Control. Syst. Technol., vol. 12, no. 6, pp. 797-810, Nov. 2004 https://doi.org/10.1109/TCST.2004.833624
  9. P. F. Odgaard, B. Lin, and S. B. Jorgensen, "Observer and data-driven-model-based fault detection in power plant coal mills," IEEE Trans. Energy Convers., vol. 23, no. 2, pp. 659-668, Jun. 2008 https://doi.org/10.1109/TEC.2007.914185
  10. H. Cao, G. Q. Si, Y. B. Zhang, and L. X. Jia, "A weighted distance-based interpolation fuzzy logic controller for ball mill pulverizing system," in International J. of Computers Syst. and Signals, vol. 9, no. 1, pp. 18-30, 2008
  11. L. Ljung, System Identification Toolbox 7, User's guide, The MathWorks