Torsional Oscillations Mitigation via Interval Type-2 Fuzzy Logic Brake Control

Authors

  • Mohamed Fayez Faculty of engineering, Benha university
  • Fahmy Metwally Bendary Faculty of Engineering at Shoubra, Banha University
  • Mohamed El-Hadidy Egyptian Electricity Holding Company
  • Mohamed Adel Mandor Faculty of Engineering at Shoubra, Banha University

DOI:

https://doi.org/10.11113/elektrika.v19n2.222

Keywords:

Dynamic brake resistance, Interval type-2 fuzzy logic, MATLAB/Simulink, Torsional oscillations.

Abstract

Turbine-generator shaft torsional oscillations is an interdisciplinary power system dynamic problem because it encompasses mechanical and electrical sectors of power grids. They give rise to a premature expenditure of fatigue life of the turbine-generator shaft metal which could lead to shaft cracks. This paper introduces an interval type-2 fuzzy logic controller to regularize the dynamic braking interventions of a novel braking resistor model for mitigation of torsional oscillations resulting from unsuccessful autoreclosure procedures near generation stations. The effectiveness of proposed scheme is elucidated by considering the unsuccessful autoreclosure of three-phase-to-ground fault in a single machine infinite bus power system via MATLAB/Simulink-based modeling and simulation environment with the help of interval type-2 fuzzy logic controller toolbox. The comparative simulation results with and without the suggested mitigation regime show that the proposed scheme is effective in the mitigation of torsional torque oscillations

References

M. F. Ahmed, M. A. Ebrahim, M. A. El-Hadidy, W. M. Mansour, “Torsional oscillations mitigation for interconnected power system via novel fuzzy control based braking resistor model,†Presented at conseil international des grands réseaux électriques (CIGRÉ), Paris, France, pp. 1 – 9, August 26-31, 2018.

G. Klempner, I. Kerszenbaum, Handbook of large Turbo-Generator Operation and Maintenance, New Jersey: John Wiley & Sons, 2008.

P. M. Anderson, Power System Protection, New Jersey: John Wiley & Sons, 1999.

O. Wasynczuk, “Damping Shaft Torsional Oscillations Using A Dynamically Controlled Resistor Bank,†IEEE Trans. Power Apparat. Syst., vol. 100, pp. 3340 – 3349, July 1981.

R. M. johnson, Dynamic Brake Control to Reduce Turbine Shaft Transient Torque. Electric Power Research Institute (EPRI), Report number: 103902, 1994.

M. H. Ali, M. Park, and In-Keun Yu, “Minimization of Shaft Torsional Oscillations by Fuzzy Controlled Braking Resistor Considering Communication Delay,â€WSEAS Trans. Power Syst., vol. 3, pp. 174 – 179, March 2008.

M. H. Ali, M. Park, In-Keun Yu, T. Murata, and J. Tamura, “Coordination of Fuzzy Controlled Braking Resistor and Optimal Reclosing for Damping Shaft-Torsional Oscillations of Synchronous Generator,†International Conference on Electrical Machines and Systems (ICEMS), Korea, 2007, pp. 1259 – 1264.

M. H. Ali, T. Mikami, T. Murata, and J. Tamura, “A Fuzzy Logic Controlled Braking Resistor Scheme for Damping Shaft Torsional Oscillations,†IEEJ Trans. on P. E., vol. 124, pp. 207 – 214, 2004.

M. H. Ali, T. Murata, and J. Tamura, “Effect of Fuzzy Controlled Braking Resistor on Damping Turbine Generator Shaft Torsional Oscillations During Unsuccessful Reclosing,†International Review of Electrical Engineering (IREE), vol. 1, pp. 711–718, 2006.

R. Saluja, and M. H. Ali, “Novel Braking Resistor Models for Transient Stability Enhancement in Power Grid System,†IEEE PES Innovative Smart Grid Technologies (ISGT) Conference, Washington DC, USA, 2013, pp. 1 – 6.

R. Saluja, S. Ghosh, and M. H. Ali, “Transient Stability Enhancement of Multi-Machine Power System by Novel Braking Resistor Models,†IEEE Southeast Conference, Florida, USA, 2013, pp. 1 – 6.

M. Fayez Ahmed, M. A. Ebrahim, M. A. El-Hadidy, and W. M. Mansour “Torsional Oscillations Mitigation via Novel Fuzzy Control Based Braking Resistor Model,†International Electrical Engineering Journal (IEEJ), vol. 7, pp. 2173 – 2181, 2016.

IEEE Subsynchronous Resonance Task Force of the Dynamic System Performance Working Group Power System Engineering Committee, “First Benchmark Model for Computer Simulation of Subsynchronous Resonance,†IEEE Trans. on Power Apparat. Sys., vol. 96, pp. 1565 –1572, October 1977.

I. H. AltaÅŸ, Fuzzy Logic Control in Energy Systems with Design Applications, Stevenage, United Kingdom: Institution of Engineering & Technology (IET), 2017.

M. K. Panda, G. N. Pillai, V. Kumar, “Power system stabilizer design: interval type-2 fuzzy logic controller approach,†Proceedings of the international conference on power control and embedded systems, Allahabad, India, pp. 1–10, December 17-19, 2012.

A. Sharma, L. K. Nagar, N. P. Patidar, M. L. Kolhe, S. R. Nandanwar, V. N. Puranik, V. K. Singh, “Minimizing uncertainties with improved power system stability using wide area fuzzy-2 logic-based damping controller,†Proceedings of 3rd IEEE International Conference on "Computational Intelligence and Communication Technology" (IEEE-CICT), Ghaziabad, India, pp. 1–5, February 9-10, 2017.

M. K. Sharma, A. Vijay, and G. N. Pillai, “Stable Type-2 Fuzzy Logic Control of TCSC to Improve Damping of Power Systems,†International Conference on Computer, Communications and Electronics. Jaipur. 2017: pp. 388–393.

K. Saoudi, Z. Bouchama, M. Ayad, M. Benziane, M. N. Harmas, “Design of a robust PSS using an indirect adaptive type-2 fuzzy sliding mode for a multi-machine power system,†Proceedings of international conference on modelling, identification and control, Algiers, Algeria, pp. 713–718, November 15-17, 2016.

M. Tripathy, and S. Mishra, “Interval Type-2-Based Thyristor-Controlled Series Capacitor to Improve Power System Stability,†IET Gener. Transm. & Distrib., vol. 5, pp. 209–222, 2011.

S. Kamel, B. Ziyad, H. M. Naguib, A. Mouloud, R. Mohamed, “An indirect adaptive type-2 fuzzy sliding mode PSS design to damp power system oscillations,†Proceedings of International Conference on Modelling, Identification and Control (ICMIC), Sousse, Tunisia, pp. 1–6, December 18-20, 2015.

S. K. Raju, and G. N. Pillai, “Design and Implementation of Type-2 Fuzzy Logic Controller for DFIG-Based Wind Energy Systems in Distribution Networks,†IEEE Trans. Sustain. Energy, vol. 7, pp. 345–353, January 2016.

O. Castillo, and P. Melin, Type-2 Fuzzy Logic: Theory and Applications. Berlin: Springer-Verlag Berlin and Heidelberg GmbH& Co, 2008.

R. Antão, Type-2 Fuzzy Logic Uncertain Systems’ Modelling and Control. Singapore: Springer, 2017.

O. Castillo, L. T. Aguilar, Type-2 Fuzzy Logic in Control of Nonsmooth Systems: Theoretical Concepts and Applications. Cham, Switzerland: Springer Nature Switzerland AG, 2018.

A. Taskin, and T. Kumbasar, “An Open Source Matlab/Simulink Toolbox for Interval Type-2 Fuzzy Logic Systems,†IEEE Symposium Series on Computational Intelligence, South Africa, 2015, pp. 1561–1568.

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Published

2020-08-29

How to Cite

Fayez, M., Bendary, F. M., El-Hadidy, M., & Mandor, M. A. (2020). Torsional Oscillations Mitigation via Interval Type-2 Fuzzy Logic Brake Control. ELEKTRIKA- Journal of Electrical Engineering, 19(2), 16–21. https://doi.org/10.11113/elektrika.v19n2.222

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