Abstract
Modern electric power systems are becoming more complex due to the proliferation of distributed energy resources (DERs) and power electronic converters. The increased penetration of power electronic-based DERs gives rise to new instability issues, particularly subsynchronous oscillations (SSO) caused by control system interactions, the induction generator effect, or resonance with torsional modes of wind turbines. If poorly damped, such oscillations can compromise the stability of the power grid, resulting in damage or disconnection of equipment and grid sections. Therefore, detecting such frequency components during both planning and operation phases is of paramount importance. This paper proposes a straightforward hybrid method combining Fourier and wavelet analysis (WA) for the online detection of the subsynchronous frequency components in power system measurements. The method leverages the speed of the fast Fourier transform (FFT) and the accuracy of the WA to determine the frequency, amplitude, and damping of SSO events.
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References
L. G. Meegahapola, S. Bu et al., “Review on oscillatory stability in power grids with renewable energy sources: Monitoring, analysis, and control using synchrophasor technology,” IEEE Transactions on Industrial Electronics, vol. 68, no. 1, pp. 519–531, 2021.
L. G. Meegahapola, S. Bu, D. P. Wadduwage, C. Y. Chung, and X. Yu, “Review on Oscillatory Stability in Power Grids With Renewable Energy Sources: Monitoring, Analysis, and Control Using Synchrophasor Technology,” IEEE Transactions on Industrial Electronics, vol. 68, no. 1, pp. 519–531, 2021.
Y. Cheng, L. Fan, J. Rose, F. Huang, J. Schmall, X. Wang, X. Xie, J. Shair, J. Ramamurthy, N. Modi, C. Li, C. Wang, S. Shah, B. C. Pal, Z. Miao, A. Isaacs, J. Mahseredjian, and Z. J. Zhou, “Real-world subsynchronous oscillation events in power grids with high penetrations of inverter-based resources,” IEEE Transactions on Power Systems, pp. 1–1, 2022.
C. Yin, X. Xie, S. Xu, and C. Zou, “Review of oscillations in VSC-HVDC systems caused by control interactions,” IET Journal of Engineering, vol. 2019, no. 16, pp. 1204–1207, 2018.
L. Wang, X. Xie, Q. Jiang, H. Liu, Y. Li, and H. Liu, “Investigation of SSR in Practical DFIG-Based Wind Farms Connected to a Series-Compensated Power System,” IEEE Trans. Power Systems, vol. 30, no. 5, pp. 2772–2779, 2015.
T. Joseph, C. E. Ugalde-Loo, S. Balasubramaniam, and J. Liang, “Real-time estimation and damping of ssr in a vsc-hvdc connected series-compensated system,” IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 7052–7063, 2018.
T. Jiang, Y. Mu, H. Jia, N. Lu, H. Yuan, J. Yan, and W. Li, “A novel dominant mode estimation method for analyzing inter-area oscillation in china southern power grid,” IEEE Transactions on Smart Grid, vol. 7, no. 5, pp. 2549–2560, 2016.
Q. Fu, W. Du, and H. Wang, “Analysis of harmonic oscillations caused by grid-connected vscs,” IEEE Transactions on Power Delivery, vol. 36, no. 2, pp. 1202–1210, 2021.
R. Pourramezan, H. Karimi, J. Mahseredjian, and M. Paolone, “Real-time processing and quality improvement of synchrophasor data,” IEEE Trans. Smart Grid, vol. 11, no. 4, pp. 3313–3324, 2020.
T. Rauhala, A. M. Gole, and P. Järventausta, “Detection of subsynchronous torsional oscillation frequencies using phasor measurement,” IEEE Transactions on Power Delivery, vol. 31, no. 1, pp. 11–19, 2016.
F. Zhang, L. Cheng, W. Gao, and R. Huang, “Synchrophasors-based identification for subsynchronous oscillations in power systems,” IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 2224–2233, 2019.
H. Liu, Y. Qi, J. Zhao, and T. Bi, “Data-driven subsynchronous oscillation identification using field synchrophasor measurements,” IEEE Transactions on Power Delivery, pp. 1–1, 2021.
X. Lin, H. Zhang, P. Liu, and O. P. Malik, “Wavelet based scheme for detection of torsional oscillation,” IEEE Trans. Power Systems, vol. 17, no. 4, pp. 1096–1101, 2002.
J. Ren and M. Kezunovic, “Real-time power system frequency and phasors estimation using recursive wavelet transform,” IEEE Trans. Power Delivery, vol. 26, no. 3, pp. 1392–1402, 2011.
A. Ashrafian, , and M. Mirsalim, “An Adaptive Recursive Wavelet Based Algorithm for Real-Time Measurement of Power System Variables During Off-Nominal,” IEEE Transactions on Industrial Informatics, vol. 14, no. 3, pp. 818–828, 2018.
S. D. C. Paiva et al., “Wavelet-Based Frequency Tracking Monitor Applied for Low-Inertia AC Microgrids,” IEEE Transactions on Power Electronics, vol. 36, no. 6, pp. 6674–6684, 2021.
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Jacobs, K., Pourramezan, R., Seyedi, Y., Karimi, H., Mahseredjian, J. (2023). A Hybrid Fourier and Wavelet-Based Method for the Online Detection and Characterization of Subsynchronous Oscillations. In: Pierfederici, S., Martin, JP. (eds) ELECTRIMACS 2022. ELECTRIMACS 2021. Lecture Notes in Electrical Engineering, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-031-24837-5_8
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DOI: https://doi.org/10.1007/978-3-031-24837-5_8
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