Alleviation of the Oscillation Behavior in Kundur Benchmark via Fuzzy Based Resistive Braking Scheme Considering Time Latencies and Declined Inertia

Majlesi Journal of Electrical Engineering

مقاله 3، دوره 15، شماره 4، اسفند 2021، صفحه 27-41   

نوع مقاله: Review Article

شناسه دیجیتال (DOI): 10.52547/mjee.15.4.27

نویسندگان

Mohamed Fayez^{* 1}؛ F. Bendary²؛ M. El-hadidy³؛ M. Mandor⁴

¹Cairo Electricity Production Company, Cairo, Egypt.

²Departmen of Electrical Engineering, Benha University, Cairo, Egypt.

³Egyptian Electricity Holding Company, Cairo, Egypt.

⁴Department of Electrical Engineering, Benha University, Cairo, Egypt.

چکیده

Oscillation behavior is usually experienced in all power grids as an inherent characterization related to their very existence. Inter-area oscillations are considered to be the most likely to jeopardize the synchronous integrity in power grids. They cause declining the quality conditions of the transmitted power which could have adverse impacts on big consumers’ load fed directly from the transmission grid. Therefore, the prime target of this investigation is to alleviate the power oscillations resulting from the different grid disturbances. This aim is accomplished by utilizing a fuzzy based resistor braking strategy taking three energization signals into consideration. Additionally, various time latencies are considered to examine and evaluate the propositioned strategy under these conditions. Also, declined inertia situations resulting from the escalated incursion levels of grid-connected photovoltaic plants are considered to examine the propositioned strategy from a futuristic operational perspective. For examining the effectivity of the propositioned strategy, non-linear time-domain simulation studies are conducted on Kundur benchmark via MATLAB/Simulink platform. Five comparative simulation studies of the benchmark after being subjected to variety of perturbations demonstrate the effectivity of propositioned strategy.

کلیدواژه‌ها

Dynamic resistor braking,؛ Fuzzy logic control,؛ Kundur benchmark؛ Oscillation behavior

مراجع

[1] G. Rogers, Power system oscillations, New York: Springer-Verlag Inc, 2000.

[2] L. L. Grigsby, Power system stability and control, Bosa Roca: CRC Press Inc, 2012.

[3] S. You, G. Kou, Y. Liu, X. Zhang, Y. Cui, M. J. Till, W. Yao, and Y. Liu, “Impact of high PV penetration on the inter-area oscillations in the U.S. Eastern Interconnection,” IEEE Access, vol. 5, pp. 4361-4369, 2017. https://doi.org/10.1109/ACCESS.2017.2682260.

[4] Y. Cui, L. Wu, W. Yu, Y. Liu, W. Yao, D. Zhou, and Y. Liu, “Inter-area oscillation statistical analysis of the U.S. Eastern Interconnection,” The J. Engineering, vol. 11, pp. 595 – 605, 2017. https://doi.org/10.1049/joe.2017.0243.

[5] D. P. Wadduwage, U. D. Annakkage, and K. Narendra, “Identification of dominant low-frequency modes in ring-down oscillations using multiple Prony models,” IET Gener. Trans. & Distribu., vol. 15, pp. 2206 – 2214, 2015. https://doi.org/10.1049/iet-gtd.2014.0947.

[6] F. K. A. Lami, A new improved method to damp inter-area oscillations in power systems with SSR mitigation and zone protection compensation, Ph.D. Thesis, University of Leicester, Leicester, United Kingdom. 2012.

[7] M. Hadjikypris, Supervisory control scheme for FACTS and HVDC based damping of inter-area power oscillations in hybrid ac-dc power systems, Ph.D. Thesis, University of Manchester, Manchester, United Kingdom, 2015.

[8] P. Kundur, Power system stability and control, New York: McGraw-Hill Inc, 1994.

[9] E D. F. Peelo, D. W. Hein, and F. Peretti, “Application of a 138 kV 200 MW braking resistor,” Power Engineering Journal, vol. 84, pp. 188-192, 1994. http://dx.doi.org/10.1049/pe:19940408.

[10] M. L. Shelton, W. A. Mittelstadt, P. F. Winkelman, and W. J. Bellerby, “Bonneville power administration 1400 MW braking resistor,” IEEE Trans. Power Apparat. Syst., vol. 94, pp. 602-611, 1975. https://doi.org/10.1109/T-PAS.1975.31888.

[11] R. Preece, Improving the stability of meshed power networks: a probabilistic approach using embedded HVDC lines. Cham: Springer International Publishing AG, 2013.

[12] M. F. Ahmed, M. A. Mandor, M. El-Hadidy, and F. M. Bendary, “Fuzzy based battery energy storage system and braking resistor for mitigation of shaft-torsional oscillations,” J. King Saud Univ. – Eng. Sci, in press, 2020, https://doi.org/10.1016/j.jksues.2020.07.011.

[13] R. M. Hamouda, “Damping torsional oscillations using thyristor controlled braking resistors,” J. King Saud Univ. – Eng. Sci. vol. 13, pp. 103-116, 2001. https://doi.org/10.1016/S1018-3639(18)30728-1.

[14] A. H. M. A. Rahim, “A minimum-time based fuzzy logic dynamic braking resistor control for sub-synchronous resonance,” Electrical Power and Energy Systems, vol. 26, pp. 191–198, 2004. https://doi.org/10.1016/j.ijepes.2003.10.011.

[15] M. H. Ali, T. Murata, and J. Tamura, “The effect of temperature rise of the fuzzy controlled braking resistors on transient stability,” IEEE Trans. Power Syst., vol. 19, pp. 1085-1095. 2004. https://doi.org/10.1109/TPWRS.2004.825828.

[16] M. H. Ali, T. Murata, and J. Tamura, “Effect of coordination of optimal reclosing and fuzzy controlled braking resistor on transient stability during unsuccessful reclosing,” IEEE Trans. Power Syst., vol. 21, pp. 1321- 1330, 2006, https://doi.org/10.1109/TPWRS.2006.876670.

[17] M. H. Ali, T. Murata, and J. Tamura, “Influence of communication delay on the performance of fuzzy logic-controlled braking resistor against transient stability,” IEEE Trans. Control Syst. Technol., vol. 16, pp. 1232-1241, 2008. https://doi.org/10.1109/TCST.2008.919443.

[18] T. Hiyama, M. Mishiro, and H. Kihara, “Fuzzy logic switching of thyristor controlled braking resistor considering coordination with SVC,” IEEE Trans. Power Deliv., vol. 10, pp. 2020-2026, 1995. https://doi.org/10.110961.473348.

[19] M. Glavic, “Design of a resistive brake controller for power system stability enhancement using reinforcement learning,” IEEE Trans. Control Syst. Technol., vol. 13, pp. 743- 751, 2005. https://doi.org/10.1109/TCST. 2005.847339.

[20] F. Ishiguro, S. Tanaka, M. Shimomura, T. Maeda, K. Matsushita, and H. Sugimoto, “Coordinated stabilizing control of exciter, turbine and braking resistor,” IEEE Trans. Power Syst. vol. 1, pp. 74-80, 1986. https://doi.org/10.1109/TPWRS. 1986.4334957.

[21] S. M. Muyeen, “A combined approach of using an SDBR and a STATCOM to enhance the stability of a wind farm,” IEEE Syst. Journal, vol. 9, pp. 922-932, 2014. https://doi.org/10.1109/JSYST. 2013.2297180.

[22] J. Mendel, H. Hagras, W. W. Tan, W. W. Melek, and H. Ying, Introduction to type-2 fuzzy logic control: theory and applications, New York: John Wiley & Sons Inc, 2013.

[23] H. Altaş, Fuzzy logic control in energy systems with design applications, Stevenage: Institution of Engineering & Technology, 2017.

[24] O. Castillo, and P. Melin, Type-2 fuzzy logic: theory and applications, Berlin: Springer-Verlag, 2008.

[25] M. Klein, G. J. Rogers, and P. Kundur, “A fundamental study of inter-area oscillations in power systems,” IEEE Trans. Power Syst., vol. 6 3, pp. 914–921, https://doi.org/10.1109/59.119229

[26] E. Huseinbasic, I. Kuzle, and T. Tomisa, “Inter-area oscillations damping using dynamic braking and phasor measurements,” IEEE/PES Power Systems Conference and Exposition, pp. 1 – 6, 2009, https://doi.org/10.1109/PSCE.2009.4840068.

[27] S. Islam, P. X. Liu, and A. El Saddik, “Wide-area measurement-based power system for smart transmission grid with communication delay,” IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 138-143, 2012. https://doi.org/10.1109/I2MTC.2012.6229458.

[28] T. Surinkaew, and I. Ngamroo, “Inter area oscillation damping control design considering impact of variable latencies,” IEEE Trans. Power Syst., vol. 34, pp. 481-493, 2019. https://doi.org/10.1109/TPWRS.2018.2866032.

[29] J. Bladh, P. Sundqvist, and U. Lundin, “Torsional stability of hydropower units under influence of subsynchronous oscillations,” IEEE Trans. Power Syst., vol. 284, pp. 3826-3833, 2013, https://doi.org/10.1109/TPWRS.2013.2263811.

[30] P. S. Sikder, and N. Pal, “Modeling of an intelligent battery controller for standalone solar-wind hybrid distributed generation system,” J. King Saud Univ. – Eng. Sci, in press, 2019. https://doi.org/10.1016/j.jksues.2019.02.002.