Modeling and Control of Combined Cycle Gas Turbines Using Rowen’s and Vournas’s Models
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)
The gas turbine is known to feature low capital cost, high flexibility, high reliability without complexity, short delivery time, early commissioning and commercial operation, and fast starting as well as loading. The gas turbine is further recognized for its better environmental performance apparent in reducing air pollution as well as the greenhouse effect. The gas turbine can be configured as a simple (stand-alone) cycle plant or a part of one of the new technologies adopted in last decades for improvement which known as "Combined Cycle Power Plant". A Combined-Cycle Power Plant (CCPP) can be seen as coupling of a Gas Turbine (GT) and a Steam Turbine (ST) through a Heat Recovery Steam Generator (HRSG). Overall system efficiency can be greatly improved by linking together these two different thermal cycles. Recently, several gas turbine models have been suggested with different degree of complexity and success. The purpose of this paper is improving the behaviour of the gas turbine-based plants to investigate the associated power system control problems. Two gas turbine models will be used in this article which are Rowen’s and Vournas’s models. These models are studied when PID controller is used in its construction for speed and temperature control. Improving the gas turbine behaviour can be achieved by applying different artificial intelligent adaptation techniques on the PID controller of the dynamic models of Combined Cycle Power Plants (CCPPs). Tuning the parameters of a PID controller is very important. The well-known method to tune the coefficients of a PID controller is the Ziegler-Nichols method. This tuning method is very simple, but cannot guarantee to be always effective. For this reason, this paper investigates the tuning for a PID using Fuzzy, Genetic Algorithm and Particle Swarm Optimization methods. The results of tuning methods will be compared, analyzed and conclusion will be drawn out of the simulation results.
Copyright © 2013 Praise Worthy Prize - All rights reserved.
W. I. Rowen, “Simplified mathematical representations of heavy-duty gas turbines”, ASME J. Eng. Power, Vol. 105, pp. 865–869, 1983.
Bernt Marcussen, “The Gas Turbine as a Prime Mover for Standby Power Applications”, Norway, IEEE, pp. 424–429, 1987.
M. Basso, L. Giarre, S. Groppi, and G. Zappa, “NARX Models of an Industrial Power Plant Gas Turbine”, IEEE Transactions on Control Systems Technology,2004.
L. N. Hannett and A. H. Khan, “Combustion turbine dynamic model validation from tests,” IEEE Trans. Power Syst., vol. 8, no. 1, pp. 152–158, Feb. 1993.
F. P. de Mello and D. J. Ahner, “Dynamic models for combined cycle plants in power system studies,” IEEE Trans. Power Syst., vol. 9, pp. 1698–1708, Aug.1994.
P. Kundur, “Power System Stability and Control”. New York: McGraw-Hill, Inc.,1994.
L. N. Hannett, G. Jee, and B. Fardanesh, “A governor/turbine model for a twinshaft combustion turbine,” IEEE Trans. Power Syst., vol. 10, no. 1, pp. 133–140,Feb. 1995.
K Chan, A. E. Arifin, Y. C. Chew, C. Lin, and H. Ye, “Validated Combined-Cycle Power Plant Model for System and Station Performance Studies”, International Conference on Power System Technology - POWERCON, Singapore, 21-24 November 2004.
Siemens AG, Power Generation Group, Siemens Gas Turbines Manuals, Model V94.3A (SGT5-4000F), Windows Turbine-Generator Analysis Systems, "WINTS".
Desmond E Winterbone, "Advanced Thermodynamics for Engineers", first published in Great Britain by Arnold, A member of the Hodder Headline Group Copublished in North, Central and South America by John Wiley & Sons, NewYork, 1997.
A. Bagnasco, B. Delfino, 6. B. Denegri, and S.Massucco, “Management and Dynamic Performances of Combined Cycle Power Plants During Parallel and Islanding Operation”, IEEE Transactions on Energy Conversion, Vol. 13, No. 2,June 1998.
J. H. Kim, T. W. Song, T. S. Kim, and S. T. Ro, “Model development and simulation of transient behavior of heavy duty gas turbines,” ASME J. Eng. Gas Turbines and Power, vol. 123, pp. 589–594, 2001.
A. Bagnasco, B. Delfino, 6. B. Denegri, and S.Massucco, “Management and Dynamic Performances of Combined Cycle Power Plants During Parallel and Islanding Operation”, IEEE Transactions on Energy Conversion, Vol. 13, No. 2, June 1998.
G. Lalor and M. O’Malley, “Frequency Control on an Island Power System with Increasing Proportions of Combined Cycle Gas Turbines,” in Proc. IEEE Powertech Conf., Bologna, Italy, Jun. 2003.
Gillian Lalor, Julia Ritchie, Damian Flynn, and Mark J. O’Malley, “The Impact of Combined-Cycle Gas Turbine Short-Term Dynamics on Frequency Control”, IEEE Trans. on Power Syst., Vol. 20, No. 3, August 2005.
John Mantzaris, and Costas Vournas, “Modelling and Stability of a Single-Shaft Combined Cycle Power Plant”, Int. J. of Thermodynamics, Vol. 10 (No. 2), pp.71-78, June 2007.
Naoto Kakimoto, and Kazuhiro Baba, “Performance of Gas Turbine-Based Plants During Frequency Drops”, IEEE Trans. on Power Syst., Vol. 18, No. 3, August 2003.
Kazuhiro Baba and Naoto Kakimoto, "Dynamic Behavior of a Combined Cycle Power Plant in the Presence of a Frequency Drop", Electrical Engineering in Japan, Vol. 143, No. 3, 2003.
Soon Kiat Yee, Jovica V. Milanovic´, and F.Michael Hughes, “Overview and Comparative Analysis of Gas Turbine Models for System Stability Studies” IEEE Trans. Power Syst., Vol. 23, No. 1, February 2008.
J. C. Mantzaris, M. E. Karystianos, C. D. Vournas, "Comparison of Gas Turbine and Combined Cycle Models for System Stability Studies", 2010.
Hany Emam Moustafa, “Modeling and Control of Combined Cycle Gas Turbines ” , master thesis , faculty of engineering , Cairo university 2010.
H. E. M. A. Shalan , M. A. Moustafa Hassan and A. B. G. Bahgat , “ Comparative Study On Modelling Of Gas Turbines In Combined Cycle Power Plants” , the 14th International Middle East Power Systems Conference (MEPCON’10), Cairo University, Egypt, December 19-21, 2010, Paper ID 317.
H. E. M. A. Shalan , M. A. Moustafa Hassan and A. B. G. Bahgat , “Parameter Estimation and Dynamic Simulation Of Gas Turbine Model In Combined Cycle Power Plants Based On Actual Operational Data”, Journal of American Science, 2011;7(5) , pp. 303–310
Astrom, K., T. Hagglund: PID Controllers; Theory, Design and Tuning, Instrument Society of America, Research Triangle Park, 1995.
M. A. El-Geliel: Supervisory Fuzzy Logic Controller used for Process Loop Control in DCS System, CCA03 Conference, Istanbul, Turkey, June 23/25, 2003.
Kal Johan Astroum and Bjorn Wittenmark: Adaptive control, Addison-Wesley, 1995
Yager R. R. and Filer D. P.: Essentials of Fuzzy Modeling and Control, John Wiley, 1994.
J. M. Mendel: Fuzzy Logic Systems for Engineering: A tutorial, Proc. IEEE, vol. 83, pp. 345-377, 1995.
L. X. Wang: Adaptive Fuzzy System & Control design & Stability Analysis, Prentice-Hall, 1994.
H.X.Li and S.K.Tso, "Quantitative design and analysis of Fuzzy Proportional-Integral-Derivative Control- a Step Towards Autotuning", International journal of system science, Vol.31, No.5, 2000, pp.545-553.
Thana Pattaradej, Guanrong Chen and Pitikhate Sooraksa, "Design and Implementation of Fuzzy P2ID Control of a bicycle robot", Integrated computer-aided engineering, Vol.9, No.4,2002.
Weiming Tang, Guanrong Chen and Rongde Lu,”A Modified Fuzzy PI Controller for a Flexible-jonit Robot Arm With Uncertainties”, Fuzzy Setd and System, 118 (2001) 109-119.
Leronid Reznik, Omar Ghanayem, anna bourmistrov, "PID Pulse Fuzzy Controller Structures as a Design for Industrial Application", Engineering application of artificial intelligence, Vol.13,No.4,2002,pp.419-430.
Keven M.Passino and Stephen Yurkovich, "Fuzzy Control", Addison Wesley longnan, Inc., 1998.
G.R.Chen and T.T.Pham, "Introduction to Fuzzy Sets, Fuzzy Logic, Fuzzy Control System", CRC.Press,Boac Raton,FL,USA,2000.
Michall Petrov, Ivan Ganchev and Ivan dragotinov, “Design Aspects of Fuzzy PID Control”, International conference on soft computing, Mendel “99”, Brno,czech republic, 9-12, jun.1999, pp.277-282.
Johan Andersson “Applications of a Multi-objective Genetic Algorithm to Engineering Design Problems”, Springer Berlin,ISBN 0302-9743
Colin R. Reeves, Jonathan E. Rowe, ”Genetic algorithm Principles and perspective, A Guide to GA theory”, Kluwer Academic PublishersISBN 1-4020-7240-6, 2002
R. Bandyobadhyay, U.K. Chakraborty, “Autotuning a PID Controller : A Fuzzy-Genetic approach ”, Journal of System Architecture 47 (2001) 663-673
Goldberg, David E. .Genetic Algorithms in Search, Optimization and Machine Learning.Addison-Wesley Pub. Co. 1989.
Q.Wang, P.Spronck Genetic Algorithm Process Flow chart, Problems, Proceedings of the Second Conference on Machine Learning and Cybernetics, 2003.
M.O. Tokhi and M.S. Alam " Particle Swarm Optimization Algorithms and Their Application to Controller Design for Flexible Structure system".
Nadia Nedjah,” Swarm Intelligent Systems”, Studies in Computational Intelligence, Springer, vol 26
K.E. Parsopoulos and M.N. Vrahatis. Recent approaches to global optimization problems through particle swarm optimization. Natural Computing 1: 235 – 306, 2002.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2018 Praise Worthy Prize