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The QDMC Model Predictive Controller for the Nuclear Power Plant Steam Turbine Control

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Trends in Advanced Intelligent Control, Optimization and Automation (KKA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 577))

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Abstract

There are typically two main control loops with PI controllers operating at each turbo-generator set. In this paper a model predictive controller QDMC for the steam turbine is proposed - instead of a typical PI controller. The QDMC controller utilize a step-response model for the controlled system. This model parameters are determined, based on the simplified and linear model of turbo-generator set, which parameters are identified on-line with RLS algorithm. It has been found that the proposed QDMC controller realize the reference trajectories of the effective power and the angular velocity, and damp the electromechanical oscillations with satisfactory quality in comparison to the typical PI and DMC controllers.

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References

  • 1. Camacho E.F., Alba C. B.: Model Predictive Control. Springer Science & Business Media (2013)

    Google Scholar 

  • 2. Hakvoort, R. G.: System identification for robust process control : nominal models and error bounds, Technische Univ. Delft, Delft (1994)

    Google Scholar 

  • 3. IEEE Report: Dynamic Models for Steam and Hydro Turbines in Power System Studies. IEEE Transactions on Power Apparatus and Systems, Vol. PAS–92, Issue 6, pp. 1904–1915 (1973)

    Google Scholar 

  • 4. Imielińskiski A.: Mathematical model of synchronous generator for full-scope simulator. Gdańsk University of Technology, Faculty of Electrical and Control Engineering, Gdańsk, Poland (1987) - in polish, unpublished

    Google Scholar 

  • 5. Kulkowski K., Kobylarz A., Grochowski M., Duzinkiewicz K.: Dynamic model of nuclear power plant steam turbine. Arch. Control Sci., Vol. 25, No. 1, pp. 65–86 (2015)

    Google Scholar 

  • 6. Lipo T.A.: Analysis of Synchronous Machines. CRC Press (2012)

    Google Scholar 

  • 7. Loo C., Vanfretti L., Liceaga-Castro E., Enrique Acha E.: Synchronous Generators Modeling and Control Using the Framework of Individual Channel Analysis and Design: Part 1. International Journal of Emerging Electric Power Systems, Vol. 8, Issue 5, (2007)

    Google Scholar 

  • 8. Perycz S., Próchnicki W.: The mathematical model of a nuclear power plant VVER block steam turbine allowing to study transient processes with w = var. Gdańsk University of Technology, Faculty of Electrical and Control Engineering, Gdańsk, Poland (1989) - in polish, unpublished

    Google Scholar 

  • 9. Power System Dynamic Performance Committee, Power System Stability Subcommittee, Task Force on Turbine-Governor Modeling: Dynamic Models for Turbine–Governors in Power System Studies. IEEE Power & Energy Society (2013)

    Google Scholar 

  • 10. Rossiter J.A.: Model-Based Predictive Control: A Practical Approach. CRC Press, Boca Raton, FL (2013)

    Google Scholar 

  • 11. Seybold L., Witczak M., Majdzik P., Stetter R.: Towards robust predictive faulttolerant control for a battery assembly system. Int. J. Appl. Math. Comput. Sci., vol. 25, no. 4, pp. 849862 (2015)

    Google Scholar 

  • 12. Sokolski P., Rutkowski T.A., Duzinkiewicz K.: Simplified, multiregional fuzzy model of a nuclear power plant steam turbine. IEEE, 2016 21ST International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 379–384 (2016)

    Google Scholar 

  • 13. Sokolski P., Rutkowski T.A., Duzinkiewicz K.: The excitation controller with gain scheduling mechanism for synchronous generator control. IEEE, 2015 20TH International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 23–28 (2015)

    Google Scholar 

  • 14. Sokólski P., Kobylarz A., Kulkowski K., Duzinkiewicz K., Rutkowski T.A., Grochowski M.: Advanced control structures of turbo generator system of nuclear power plant. Acta Energetica, Vol. 3, pp. 83–96 (2015)

    Google Scholar 

  • 15. Tatjewski P.: Advanced Control of Industrial Processes. Springer London (2007)

    Google Scholar 

  • 16. Lawryńczuk M.: Nonlinear state-space predictive control with on-line linearisation and state estimation. Int. J. Appl. Math. Comput. Sci., vol. 25, no. 4, pp. 833–847 (2015)

    Google Scholar 

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Correspondence to Paweł Sokólski .

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Sokólski, P., Rutkowski, T.A., Duzinkiewicz, K. (2017). The QDMC Model Predictive Controller for the Nuclear Power Plant Steam Turbine Control. In: Mitkowski, W., Kacprzyk, J., Oprzędkiewicz, K., Skruch, P. (eds) Trends in Advanced Intelligent Control, Optimization and Automation. KKA 2017. Advances in Intelligent Systems and Computing, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-319-60699-6_23

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  • DOI: https://doi.org/10.1007/978-3-319-60699-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60698-9

  • Online ISBN: 978-3-319-60699-6

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