Complex Simulation Model of Microturbine Unit

Article Preview

Abstract:

The paper deals with a mathematical model suitable for the hardware emulator of a microturbine power unit, which serves the design, optimization, and verification of control equipment. The emulator interface signals mimic the operation of a real turbine including the electrical parameters of interfaces. A system of algebraic-differential equations representing the turbine model is formulated such that it allows applying an explicit solver with a predictable amount of operations to obtain the next time step, which is important for the real-time simulation. The model includes the starter motor, generator, gearbox, and single-shaft gas microturbine. In addition to the normal operational performance the instrument allows simulating various faults.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

282-289

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Y. Zhu and K. Tomsovic, Optimal distribution power flow for systems with distributed energy resources, Electrical Power and Energy Systems. 29 (2007) 260-267.

DOI: 10.1016/j.ijepes.2006.07.007

Google Scholar

[2] S. M. Camporeale, B. Fortunato, and M. Mastrovito, A Modular Code for Real-Time Dynamic Simulation of Gas Turbines in Simulink, ASME Journal of Engineering for Gas Turbines and Power. 128 (2006) 506-517.

DOI: 10.1115/1.2132383

Google Scholar

[3] S. K. Yee, J. V. Milanovic, and F. M. Hughes, Overview and Comparative Analysis of Gas Turbine Models for System Stability Studies, IEEE Transactions on Power Systems, 23 (2008) 108-118.

DOI: 10.1109/tpwrs.2007.907384

Google Scholar

[4] W. I. Rowen, Simplified mathematical representations of heavy-duty gas turbines, ASME J. Eng. Power. 105 (1983) 865–869.

DOI: 10.1115/1.3227494

Google Scholar

[5] Working Group on Prime Mover and Energy Supply Models: Dynamic models for combined cycle plants in power system studies, IEEE Trans. Power Syst. 9 (1994) 1698–1708.

DOI: 10.1109/59.336085

Google Scholar

[6] L. Pereira, J. Undrill, D. Kosterev, D. Davies, and S. Patterson, A new thermal governor modeling approach in the WECC, IEEE Trans. Power Syst. 18 (2003) 819–829.

DOI: 10.1109/tpwrs.2003.811007

Google Scholar

[7] P. P. Walsh and P. Fletcher, Gas Turbine Performance, Blackwell Science, Oxford, (1998).

Google Scholar

[8] M. T. Schobeiri, M. Attia, and C. Lippe, GETRAN: A Generic Modularly Structured Computer Code for Simulation of Dynamic Behaviour of Aero- and Power Generation Gas Turbine Engines, Trans. ASME: J. Eng. Gas Turbines Power. 116 (1994) 483–494.

DOI: 10.1115/1.2906847

Google Scholar

[9] H. Perez-Blanco and P. Albright, Heat Recovery System Control Strategy To Meet Multiple Transient Demands, ASME Paper No. 2001 GT- 0210, (2001).

DOI: 10.1115/2001-gt-0210

Google Scholar

[10] P. C. Crause, O. Wasynczuk, and S. D. Sudhoff, Analysis of Electric Machinery and Drive Systems, 2nd ed., J. Willey&Sons, (2002).

Google Scholar

[11] J. Kurzke, How To Get Component Maps For Aircraft Gas Turbine Performance Calculations, International Gas Turbine and Aeroengine Congress and Exhibition, (1996).

DOI: 10.1115/96-gt-164

Google Scholar

[12] S. Haugwitz, Modeling of Microturbine systems, In Proc. of European Control Conference, Cambridge, GB, September (2003).

Google Scholar

[13] R. J. LeVeque, Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems, SIAM, (2007).

DOI: 10.1137/1.9780898717839

Google Scholar