0
Research Papers: Gas Turbines: Controls, Diagnostics, and Instrumentation

Semi-Simplified Black-Box Dynamic Modeling of an Industrial Gas Turbine Based on Real Performance Characteristics

[+] Author and Article Information
Abdollah Mehrpanahi

Faculty of Mechanical Engineering,
Shahid Rajaee Teacher Training University,
Tehran 1678815811, Iran
e-mails: mehrpanahi@srttu.edu; mehrpanahi@gmail.com

Gholamhasan Payganeh

Faculty of Mechanical Engineering,
Shahid Rajaee Teacher Training University,
Tehran 1678815811, Iran
e-mail: g.payganeh@srttu.edu

Mohammadreza Arbabtafti

Faculty of Mechanical Engineering,
Shahid Rajaee Teacher Training University,
Tehran 1678815811, Iran
e-mail: arbabtafti@srttu.edu

Ali Hamidavi

Process and Control Engineering Unit,
Mapna Turbine Engineering and
Manufacturing Company (TUGA),
Alborz, Karaj 1918953651, Iran
e-mail: hamidavi.ali@mapnaturbine.com

1Corresponding author.

Contributed by the Controls, Diagnostics and Instrumentation Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received September 30, 2016; final manuscript received April 26, 2017; published online August 16, 2017. Assoc. Editor: Liang Tang.

J. Eng. Gas Turbines Power 139(12), 121601 (Aug 16, 2017) (12 pages) Paper No: GTP-16-1477; doi: 10.1115/1.4037336 History: Received September 30, 2016; Revised April 26, 2017

The use of multishaft industrial gas turbines is expanding in various industries because of variation in their structure, flexibility, and their appropriate power generation range. In this study, a semi-simplified black-box dynamic modeling has been done for the three-shaft gas turbine MGT-30. Modeling is done in such a way that all the important variables can be calculated and evaluated. One of the important parameters in dynamic modeling of gas turbine is the time lag relevant to the performance properties of sensors and actuators of the system. In this study, in order to measure the transfer function, physical and actual characteristics of the system were applied. Depending on the type of thermocouples (TCs) used, their activation time was eliminated using a lead compensator. In modeling of the system, the functions were related to the implementation of off-design conditions for compliance with the outputs of a real system model, and outputs were presented proportional to the rate and type of changes for each variable. Finally, validation was done by comparing the power-turbine generated power, exhaust gas temperatures downstream of low pressure (LP) turbine, and speeds of LP and high-pressure (HP) turbines with the real values of Qeshm turbogenerator power plant.

Copyright © 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Rowen, W. I. , 1983, “ Simplified Mathematical Representations of Heavy-Duty Gas Turbines,” ASME J. Eng. Gas Turbines Power, 105(4), pp. 865–869. [CrossRef]
Rowen, W. I. , 1992, “ Simplified Mathematical Representations of Single Shaft Gas Turbines in Mechanical Drive Service,” ASME Paper No. 92-GT-22.
Balamurugan, S. , Xavier, R. J. , and Jeyakumar, A. E. , 2009, “ Control of Heavy-Duty Gas Turbine Plants for Parallel Operation Using Soft Computing,” Electr. Power Compon. Syst., 37(11), pp. 1275–1287. [CrossRef]
Selvakumar, S. , Balamurugan, S. , and Xavier, R. J. , 2013, “ Development of Controller for Parallel Operation of Gas Turbine Plants,” Electr. Power Compon. Syst., 41(1), pp. 100–109. [CrossRef]
Hannett, L. N. , and Khan, A. , 2013, “ Combustion Turbine Dynamic Model Validation From Tests,” IEEE Trans. Power Syst., 8(1), pp. 152–158. [CrossRef]
Jurado, F. , and Carpio, J. , 2006, “ Improving Distribution System Stability by Predictive Control of Gas Turbines,” Energy Convers. Manage., 47(18–19), pp. 2961–2973. [CrossRef]
Centro, P. , Egido, I. , Domingo, C. , Fernandez, F. , Reuco, L. , and Conzalez, M. , 2005, “ Review of Turbine Models for Power System Stability Studies,” Ninth Spanish Portuguese Congress on Electrical Engineering (CHLIE), Marbella, Spain, June 30–July 2. http://aedie.org/9CHLIE-paper-send/368-Centeno.pdf
Ghorbani, H. , Ghaffari, A. , and Rahnama, M. , 2008, “ Constrained Model Predictive Control for a Heavy-Duty Gas Turbine Power Plant,” WSEAS Trans. Syst. Control, 3(6), pp. 507–515. http://www.wseas.us/e-library/transactions/control/2008/27-418.pdf
Kim, J. H. , Kim, T. S. , and Ro, S. T. , 2001, “ Analysis of the Dynamic Behaviour of Regenerative Gas Turbines,” Proc. Inst. Mech. Eng., Part A, 215(3), pp. 339–346. https://doi.org/10.1243/0957650011538569
Tavakoli, M. R. B. , Vahidi, B. , and Gawlik, W. , 2009, “ An Educational Guide to Extract the Parameters of Heavy Duty Gas Turbines Model in Dynamic Studies Based on Operational Data,” IEEE Trans. Power Syst., 24(3), pp. 1366–1374. [CrossRef]
Enalou, H. B. , and Soreshjani, E. A. , 2014, “ A Detailed Governor-Turbine Model for Heavy-Duty Gas Turbines With a Careful Scrutiny of Governor Features,” IEEE Trans. Power Syst., 30(3), pp. 1435–1441. [CrossRef]
Guda, S. R. , Wang, C. , and Nehrir, M. H. , 2006, “ Modeling of Micro-Turbine Power Generation Systems,” Electr. Power Compon. Syst., 34(9), pp. 1027–1046. [CrossRef]
Hajagos, L. M. , and Berube, G. R. , 2001, “ Utility Experience With Gas Turbine Testing and Modeling,” IEEE Power Engineering Society Winter Meeting, Columbus, OH, Jan. 28–Feb. 1, pp. 671–677.
DeMello, F. P. , 1994, “ Dynamic Models for Combined Cycle Plants in Power System Studies,” IEEE Trans. Power Syst., 9(3), pp. 1698–1708. [CrossRef]
Suzaki, S. , Kawata, K. , Sekoguchi, M. , and Goto, M. , 2000, “ Mathematical Model for a Combined Cycle Plant and Its Implementation in an Analogue Power System Simulator,” IEEE Power Engineering Society Winter Meeting, Singapore, Jan. 23–27, pp. 416–421.
Kee, S. K. , Milanovic, J. V. , and Hughs, F. M. , 2008, “ Overview and Comparative Analysis of Gas Turbine Models for System Stability Studies,” IEEE Trans. Power Syst., 23(1), pp. 108–117. [CrossRef]
Camporeale, S. M. , Fortunato, B. , and Dambrosio, L. , 2002, “ One-Step-Ahead Adaptive Control for Gas Turbine Power Plants,” ASME J. Dyn. Syst. Meas. Control, 124(2), pp. 341–348. [CrossRef]
Comporeale, S. M. , Fotunato, B. , and Mastrovito, M. , 2006, “ A Modular Code for Real Time Dynamic Simulation of Gas Turbines in Simulink,” ASME J. Eng. Gas Turbines Power, 128(3), pp. 506–516. [CrossRef]
Zhang, N. , and Cai, R. , 2002, “ Analytical Solutions and Typical Characteristics of Part-Load Performances of Single Shaft Gas Turbine and Its Cogeneration,” Energy Convers. Manage., 43(9–12), pp. 1323–1337. [CrossRef]
Wang, W. , Cai, R. , and Zhang, N. , 2004, “ General Characteristics of Single Shaft Microturbine Set at Variable Speed Operation and Its Optimization,” Appl. Therm. Eng., 24(13), pp. 1851–1863. [CrossRef]
Malinowski, L. , and Lewandowska, M. , 2013, “ Analytical Model-Based Energy and Exergy Analysis of a Gas Micro-Turbine at Part-Load Operation,” Appl. Therm. Eng., 57(1–2), pp. 125–132. [CrossRef]
Badami, M. , Ferrero, M. G. , and Portoraro, A. , 2015, “ Dynamic Parsimonious Model and Experimental Validation of a Gas Micro-Turbine at Part-Load Conditions,” Appl. Therm. Eng., 75, pp. 14–23. [CrossRef]
Kee, S. K. , Milanovic, J. V. , and Hughs, F. M. , 2011, “ Validated Models for Gas Turbines Based on Thermodynamics Relationships,” IEEE Trans. Power Syst., 26(1), pp. 270–281. [CrossRef]
Aklilu, B. T. , and Gilani, S. I. , 2010, “ Mathematical Modeling and Simulation of a Cogeneration Plant,” Appl. Therm. Eng., 30(16), pp. 2545–2554. [CrossRef]
Hglind, F. , and Elmegaard, B. , 2009, “ Methodologies for Predicting the Part-Load Performance an Aero-Derivative Gas Turbines,” Energy, 34(10), pp. 1484–1492. [CrossRef]
Lee, J. J. , Kang, D. W. , and Kim, T. S. , 2001, “ Development of a Gas Turbine Performance Analysis Program and Its Application,” Energy, 36(8), pp. 5274–5285. [CrossRef]
Kim, T. S. , and Hwang, S. H. , 2006, “ Part Load Performance Analysis of Recuperated Gas Turbines Considering Engine Configuration and Operation Strategy,” Energy, 31(2–3), pp. 260–277. [CrossRef]
Saravanamuttoo, H. I. H. , and Maclsaac, B. D. , 1983, “ Thermodynamic Models for Pipeline Gas Turbine Diagnostics,” ASME J. Eng. Gas Turbines Power, 105(4), pp. 875–884. [CrossRef]
Zhu, P. , and Saravanamuttoo, H. I. H. , 1992, “ Simulation of an Advanced Twin-Spool Industrial Gas Turbine,” ASME J. Eng. Gas Turbines Power, 114(2), pp. 181–185.
Cohen, H. , Rogers, G. F. C. , and Saravanamuttoo, H. I. H. , 1996, Gas Turbine Theory, Pearson Education, North York, ON, Canada.
Mirza-Baig, F. S. , and Saravanamuttoo, H. I. H. , 1991, “ Off-Design Performance Prediction of Turbofans Using Gasdynamics,” ASME Paper No. 91-GT-389.
Bozzi, L. , Crosa, G. , and Trucco, A. , 2003, “ Simplified Simulation Block Diagram of Twin-Shaft Gas Turbines,” ASME Paper No. GT2003-38679.
Vahidi, B. , Tvakoli, M. R. B. , and Gawlik, W. , 2007, “ Determination Parameters of Turbine's Model Using Heat Balance Data on Steam Power Unit for Educational Purposes,” IEEE Trans. Power Syst., 22(4), pp. 1547–1553. [CrossRef]
Process and Control Engineering Unit, 2015, “ Qeshm Turbo Generator Data Archive,” Mapna Turbine Engineering and Manufacturing Company, Karaj, Iran.
Coughanowr, D. R. , and LeBlanc, S. E. , 2009, Process System Analysis and Control, 3rd ed., McGraw-Hill, New York.
Stephnopoulos, G. , 1984, Chemical Process Control: An Introduction to Theory and Practice, PTR Prentice-Hall, Upper Saddle River, NJ.

Figures

Grahic Jump Location
Fig. 1

The algorithm of producing off-design outputs

Grahic Jump Location
Fig. 2

Three-shaft gas turbine power plant schematic representation

Grahic Jump Location
Fig. 3

MGT-30 semi-simplified dynamic model

Grahic Jump Location
Fig. 6

MGT-30 thermocouple

Grahic Jump Location
Fig. 5

Thermocouple activation time transfer function structure

Grahic Jump Location
Fig. 4

Fuel discharge dynamic loop

Grahic Jump Location
Fig. 7

MGT-30 thermocouple equalizing with annular type

Grahic Jump Location
Fig. 8

Air delivery from the compressor to the combustion chamber

Grahic Jump Location
Fig. 9

Air delay transfer function block diagram

Grahic Jump Location
Fig. 10

Air density variations along HP and LP compressors

Grahic Jump Location
Fig. 11

Air flow speed and delay time along HP and LP compressors

Grahic Jump Location
Fig. 12

Comparison of corrected and performance trends of TET from LPT

Grahic Jump Location
Fig. 13

Comparison of primary, corrected, and performance trends of PT power

Grahic Jump Location
Fig. 14

Comparison of HP shaft's speed output of model with performance condition

Grahic Jump Location
Fig. 15

Comparison of LP shaft's speed of model with performance condition

Grahic Jump Location
Fig. 16

Comparison of HP correction speed of model with performance condition in the range of environmental changes

Grahic Jump Location
Fig. 17

Comparison of LP correction speed of model with performance condition in the range of environmental changes

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In