THE ANALYSIS OF LOCAL OSCILLATION IN THE GAS TURBINE GENERATOR CONNECTTO POWER GRID SYSTEMS USE LINEAR OBSERVER

Nguyen Hoang Mai; Tran van Dung

doi:10.29121/ijetmr.v5.i2.2018.159

Authors

Nguyen Hoang Mai Electrical Department, Danang University, Vietnam
Tran van Dung Electrical Department, Daklak College, Vietnam

DOI:

https://doi.org/10.29121/ijetmr.v5.i2.2018.159

Keywords:

Hydropower Plants, Speed Control System, Magnetic Excitation, Power Grid, Gas Turbine, Power Plant, Damping, Low Frequency Oscillation, Linear Observer

Abstract

The low frequency oscillation in the electrical generator connect to power grid is an important problem to control systems, especially in the gas turbine generators with high speed. The oscillation makes affect to life time, finance of operating and effect of energy process. There are many cause of the oscillation in governor speed control of power plants. They use PSS to do damping low frequency oscillation in recently [11], [12], [13], [14], [22], [23]. So PSS usually does process with delay cycle time, therefore it makes effect isn’t good result. This paper presents a method using linear in the gas turbine generator, which connects to power grid. By observe affect action of local oscillation of the power, study finds key point of oscillation time. From that, we take out decision to do prediction of damping in system and supply signal in to PSS to reduce damaging of this oscillation. Simulation results explain difference action of the system with linear observer and system without linear observer.

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References

H. E. M. A. Shalan M. A. Moustafa Hassan A. B. G. Bahgat, “Comparative Study On Modeling Of Gas Turbines In Combined Cycle Power Plants”, Proceedings of the 14th International Middle East Power Systems Conference (MEPCON’10), Cairo University, Egypt, December 19-21, 2010, Paper ID 317.

Bernie MacIsaac and Roy Langton, “Gas Turbine Propulsion Systems”,  2011 John Wiley & Sons, Ltd. Published 2011 by John Wiley & Sons, Ltd. DOI: https://doi.org/10.1002/9781119975489

LasanthaMeegahapola, “Characterisation of gas turbine dynamics during frequency excursions in power networks”, IET Generation, Transmission and Distribution, vol. 8, (10) pp. 1733-1743, 2014.

Richard T. Meyer, Raymond A. DeCarlo, “Gas Turbine Engine Behavioral Modeling”, Purdue University School of Electrical and Computer Engineering 465 Northwestern Avenue West Lafayette, IN 47907-1285, TR-ECE-14-01 January 8, 2014.

AminollahKhormali, Hassan Yahyaei, Mahdi AliyariSh, “Identification of an Industrial Gas Turbine Based on Rowen’s Model and using Multi-Objective Optimization Method”, Proceedings of the 3rd RSI International Conference on Robotics and Mechatronics, October 7-9, 2015, Tehran, Iran. DOI: https://doi.org/10.1109/ICRoM.2015.7367831

Mohammad Reza Bank Tavakoli, BehroozVahidi, Senior Member, IEEE, and Wolfgang Gawlik, “An Educational Guide to Extract the Parameters of Heavy Duty Gas Turbines Model in Dynamic Studies Based on Operational Data”, IEEE Trans on Power Systems, vol. 24, NO. 3, AUGUST 2009. DOI: https://doi.org/10.1109/TPWRS.2009.2021231

Mohammad Reza Bank Tavakoli, BehroozVahidi, and Wolfgang Gawlik, “An Educational Guide to Extract the Parameters of Heavy Duty Gas Turbines Model in Dynamic Studies Based on Operational Data”, IEEE transaction on power systems, vol. 24, No. 3, August 2009, p1366 – p1374. DOI: https://doi.org/10.1109/TPWRS.2009.2021231

Hamid Asgari, “Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks”, Doctor of Philosophy in Mechanical Engineering at the University of Canterbury Christchurch, New Zealand 2009.

M. Nagpal A. Moshref G.K. Morison P. Kundur, “Experience with Testing and Modeling of Gas Turbines”, Date of Conference: 2001. Page(s): 652 - 656 vol.2; ISBN: 0-7803-6672-7; INSPEC Accession Number: 7023444.[10] Tony Giampaolo, “ Gas Turbine Handbook:

D. Jolevski, “Excitation System of Synchronous Generator”, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2009., Croatia, preparation for doctoral qualification exam.

M. Mehmedovic, “Identification of Parameters of Excitation Control Systems of Synchronous Machines”, Faculty of Electrical Engineering and Computing, Zagreb, 1995., Croatia, doctoral disertation.

M. Miskovic, M. Mirosevic and M. Milkovic, “Analysis of Synchronous Generator Angular Stability Depending on the Choice of the Excitation System” in Energy, vol. 58, L. Begovic, Ed. Zagreb: HEP and University of Zagreb, 2009, pp. 430–445.

M. Miskovic, M. Mirosevic and G. Erceg, “Load Angle Estimation of a Synchronous Generator Using Dynamical Neural Network” in Energija, vol. 58, L. Begovic, Ed. Zagreb: HEP and University of Zagreb, 2009, pp. 174–191.

M. Dehghani, S.K.Y. Nikravesh, “Nonlinear State Space Model Identification of Synchronous Generator” in Amikabir University of Technology, Sience Direct, B.V. Elsevier, Ed. Teheran: University of Tehnology, Iran 2008, pp. 926–940. DOI: https://doi.org/10.1016/j.epsr.2007.07.001

M. Jadric, B. Francic, Dynamic of Electric Machines. Graphics, Zagreb, Croatia, 1995, ISBN 953-96399-2-1.

K. Miklosevic, Z. Spoljaric and Valter, “Modeling and Simulation of Induction Motor for Dynamic Behaviour Testing Using Specified Load”, DAAAM International, Vienna, Austria, pp. 861-862, October 2008 [Proceedings of 19-th International DAAAM Symposium, Tranava, Slovakia], ISBN 978-3-901-509-68-1, ISSN 1726-9679.

Z. Valter, Electrical Machines and Drives in Matlab. University of Osijek, Faculty of Electrical Engineering, ISBN 978-953-6032-07-9, Osijek, Croatia.

W. Leonhard, Control of Electrical Drivers. Springer, Berlin, Heidelberg, NewYork, 2001, pp. 51-63, ISBN 3-540-41820-2.

B.K Bose, Modern Power Electronics and AC Drivers. Prentice Hall PTR, ISBN 0-13-016743-6, Upper Saddle River, New Jersey, USA.

M. A. Abido and Y. L. Abdel-Magid: Robust design of electrical power-based stabilizers using Tabu search, Power Engineering Society Summer Meeting, Vol. 3, pp. 1573-1578, 2001.

K. Hongesombut, and Y. Mitani: Implementation of Advanced Genetic Algorithm to Modern Power System Stabilization Control, Power Systems Conference and Exposition, pp. 1050-105 vol.2, 2004.

Payman S hamsollahi: Neural Adaptive Power System Stabilizer, Thesis at University of CALGARY, CALGARY, ALBERTA, July 1997.

P. Kundur, Power System Stability and Control, McGraw-Hill, 1994.

P. M. Anderson and A. A. Fouad, Power System Control and Stability; A John Wiley & Sons, Inc., Publications 2003. DOI: https://doi.org/10.1109/9780470545577

G.R. Berube, L.M. Hajagos, Roger Beaulieu, "Practical Utility Experience with Application of Power System Stabilizers", Engineering Society Summer Meeting, pp. 104-109, 1999.