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An Investigation Of Productivity In Boilers Of Thermal Power Plants With Fuzzy Gain Scheduled PI Controller

Year 2010, Volume: 2 Issue: 1, 45 - 49, 15.01.2010

Abstract

Power plants need to be controled because of electricity generation cost and to be reduced corrosion of the equipmet used in them. For these reasons, special care has to be taken for their two outputs, settling time and overshoot, and their productivity. In this study, a fuzzy gain scheduled proportional-integral, FGPI, controller was designed to arrange the power and enthalpy outputs in two boilers with different productivity values of a 765 MW coal-fired thermal power plant. The simulation results show that the first boiler model (Model-1, M1) with 95% productivity has better preformance on the settling time of power and enthalpy outputs. As for the overshoots, the second boiler model (Model-2, M2) with 70% productivity has better performance for the two outputs.

References

  • [1] Unbehauen. H., Kocaarslan I., “Experimental Modelling and Adaptive Power Control of a 750 MW Once-Through Boiler”, Proceedings of 11th IFAC World Congress, Tallin, SU, Vol. 4, pp. 226-231, 13-17 August 1990. [2] U. M., T. Y., “Computing predictor based MRACS for nonlinear time-varying power based on a new system plants identification method”, IFAC Inter national Symposium on Control of Power Plants and Power systems, Munich, 1992. [3] Kocaarslan I., “Application of Adaptive Control Concept in a 750 MW Coal Fired Power Plant”, IFAC, International Federation of Automatic Control Congress, The Institution of Engineers, Sydney, Australia, 18-23 July 1993. [4] N. M., S. Y., “Adaptive Optimal Control Steam Temperatures for Thermal Power Plants”, IEEE Transactions on Energy Conversion, Vol.4, No.1, pp.25-33, March 1989. [5] L. X., “A Study on Fuzzy Controller Algorithm Structure Analysis and Its application to power plant boiler control problem”, Doctoral Dissertation, Northeasthern University, China, 1997. [6] M. S., O. K., and F. S:, and S. H., “Adaptive control for the Steam Temperature of Thermal Power Plants”, Proceedings of the 1998 IEEE International Conference on Control Applications, pp.1105-1109, 1998. [7] Kocaarslan I., Çam. E., Tiryaki. H., “An Investigation of Cleanness in Boilers of Thermal Power Plants with Fuzzy Logic Controller”, 2nd International Conference on TPE, pp. 668-672, 6-8 September 2004. [8] Tiryaki. H., Kocaarslan. I., Çam. E., Akbıyık. B., “Bir Termik Santralde Güç ve Entalpi Kontrolünün Bulanık Mantıkla Sağlanması”, Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu, İstanbul, pp. 42-45, 23-25 Haziran 2004. [9] Ungehauen. H., Kocaarslan. I., “Experimental Modelling and Simulation of a Power Plant”, European Simulation Multiconference, 1990. [10] Kocaarslan. I., “Einsattz Adaptiver Regelkonzepte in einem Dampkraftwerk”, Doctoral Thesis, University of Bochum, Germany, 1991. [11] Waller M., Waller J. B. and Waller K. V., “Decoupling Revisited”, Ind. Eng. Chem. Res., 2003 [12] M. J., “Fuzzy logic systems for engineering: A Tutorial”, Proceedings of the IEEE, Vol. 83, No. 3, pp. 345-377, March 1995. [13] Çam. E., Kocaarslan. I., “Load Frequency Control in Two Area Power Systems Using Fuzzy Logic Controller”, Energy Conversion and Management, 46, 233-243, 2005. [14] Matlab 7.1, Reference Manual, 2007
Year 2010, Volume: 2 Issue: 1, 45 - 49, 15.01.2010

Abstract

References

  • [1] Unbehauen. H., Kocaarslan I., “Experimental Modelling and Adaptive Power Control of a 750 MW Once-Through Boiler”, Proceedings of 11th IFAC World Congress, Tallin, SU, Vol. 4, pp. 226-231, 13-17 August 1990. [2] U. M., T. Y., “Computing predictor based MRACS for nonlinear time-varying power based on a new system plants identification method”, IFAC Inter national Symposium on Control of Power Plants and Power systems, Munich, 1992. [3] Kocaarslan I., “Application of Adaptive Control Concept in a 750 MW Coal Fired Power Plant”, IFAC, International Federation of Automatic Control Congress, The Institution of Engineers, Sydney, Australia, 18-23 July 1993. [4] N. M., S. Y., “Adaptive Optimal Control Steam Temperatures for Thermal Power Plants”, IEEE Transactions on Energy Conversion, Vol.4, No.1, pp.25-33, March 1989. [5] L. X., “A Study on Fuzzy Controller Algorithm Structure Analysis and Its application to power plant boiler control problem”, Doctoral Dissertation, Northeasthern University, China, 1997. [6] M. S., O. K., and F. S:, and S. H., “Adaptive control for the Steam Temperature of Thermal Power Plants”, Proceedings of the 1998 IEEE International Conference on Control Applications, pp.1105-1109, 1998. [7] Kocaarslan I., Çam. E., Tiryaki. H., “An Investigation of Cleanness in Boilers of Thermal Power Plants with Fuzzy Logic Controller”, 2nd International Conference on TPE, pp. 668-672, 6-8 September 2004. [8] Tiryaki. H., Kocaarslan. I., Çam. E., Akbıyık. B., “Bir Termik Santralde Güç ve Entalpi Kontrolünün Bulanık Mantıkla Sağlanması”, Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu, İstanbul, pp. 42-45, 23-25 Haziran 2004. [9] Ungehauen. H., Kocaarslan. I., “Experimental Modelling and Simulation of a Power Plant”, European Simulation Multiconference, 1990. [10] Kocaarslan. I., “Einsattz Adaptiver Regelkonzepte in einem Dampkraftwerk”, Doctoral Thesis, University of Bochum, Germany, 1991. [11] Waller M., Waller J. B. and Waller K. V., “Decoupling Revisited”, Ind. Eng. Chem. Res., 2003 [12] M. J., “Fuzzy logic systems for engineering: A Tutorial”, Proceedings of the IEEE, Vol. 83, No. 3, pp. 345-377, March 1995. [13] Çam. E., Kocaarslan. I., “Load Frequency Control in Two Area Power Systems Using Fuzzy Logic Controller”, Energy Conversion and Management, 46, 233-243, 2005. [14] Matlab 7.1, Reference Manual, 2007
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Details

Journal Section Articles
Authors

İlhan Kocaarslan This is me

Ertuğrul Çam

Hasan Tiryaki This is me

Publication Date January 15, 2010
Submission Date October 23, 2017
Published in Issue Year 2010 Volume: 2 Issue: 1

Cite

APA Kocaarslan, İ., Çam, E., & Tiryaki, H. (2010). An Investigation Of Productivity In Boilers Of Thermal Power Plants With Fuzzy Gain Scheduled PI Controller. International Journal of Engineering Research and Development, 2(1), 45-49.

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