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Articles

Improving the accuracy and the estimation time of inter-area modes in power system based on Tufts-Kumaresan algorithm

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Pages 126-135 | Received 11 May 2022, Accepted 19 Dec 2022, Published online: 03 Jan 2023

References

  • Ilic MD, Allen H, Chapman W, et al. Preventing future blackouts by means of enhanced electric power systems control: from complexity to order. Proc IEEE. 2005 Nov;93(11):1920–1941.
  • Andersson G, Donalek P, Farmer R, et al. Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance. IEEE Trans Power Syst. 2005 Nov;20(4):1922–1928.
  • Miao Z, Fan L, Osborn D, et al. Control of DFIG-based wind generation to improve interarea oscillation damping. Energy Conser. 2009Jun;24(2):415–423.
  • Aboul-Ela ME, Sallam AA, McCalley JD, et al. Damping controller design for power system oscillations using global signals. IEEE Trans Power Syst. 1996 May;11(2):767–773.
  • Kosterev DN, Carson WT, William AM. Model validation for the August 10,1996 WSCC System Outage. Power Sys. 1999 August;14(3): 967–980.
  • Kundur P. Power system stability and control. New York: McGraw-Hil; 1994.
  • Bruno S, De Tuglie E, La Scala M. Transient security dispatch for the concurrent optimization of plural postulated contingencies. IEEE Trans. Power Sys. 2002 August;17(3): 707–714.
  • Bruno S, De Tuglie E, La Scala M, et al. Dynamic security corrective control by UPFCs. IEEE Trans. Power Sys. 2001 August;16(3): 490–497.
  • Xinran Z, Chao LA, Shichao L, et al., A review on wide-area damping control to restrain inter-area low frequency oscillation for large-scale power systems with increasing. Elsevier Renewable Sustainable Energy Rev. 2016;57:45–58.
  • I. S. C37.118-2005. IEEE standard for synchrophasor for power systems. New York: IEEE; 2005.
  • Messina AR. Interpretation and Visualization of wide-area PMU measurement using Hilbert analysis. IEEE Trans. Power Sys. 2004;24:610–620.
  • Beiraghi M, Ranjbar AM. Adaptive delay compensator for the robust wide-area damping controller design. IEEE Trans Power Syst. 2016 Nov;31(6):4966–4976.
  • Moto NK. Monitoring of inter area oscillation mode by synchronized phasor measurement. IEEE Trans, Power Sys. 2006;21(1):260–261.
  • Torres JLR, Longatt FG. Dynamic vulnerability assessment and intelligent control for sustainable power systems. USA: John Wiley & Sons; 2018. p. 4–5.
  • Crow ML, Singh A. The matrix pencil for power system modal extraction. IEEE Trans. Power Sys. 2005;20:501–502.
  • Sanchez-Gasca J, Chow JH. Performance comparison of three identification method for the analysis of electromechanical oscillation. IEEE Trans. Power Sys. 1999;14(3):995–1002.
  • Hosseini SA, Amjady N, Velayati MH. A Fourier based wavelet approach using Heisenberg’s uncertainty principle and Shannon’s entropy criterion to monitor power system small signal oscillations. IEEE Transaction on Power Sys. 2016; 2956–2962.
  • Pierre JW, Trudnowski DJ, Donnelly MK. Initial results in electromechanical mode identification from ambient data. IEEE Trans. Power Syst. 1997;12(3):1245–1251.
  • Wies RE, Pierre JW, Trudnowski DJ. Use of ARMA block processing for estimation stationary low-frequency electromechanical modes of power systems. IEEE Trans, Power Sys. 2003;18(1):165–173.
  • Rueda JL, Juarez CA, Erlich I. Wavelet-based analysis of power system low-frequency electromechanical oscillations. IEEE Trans Power Syst. 2011 August;26(3):1733–1741.
  • Zhou JWPN, Wies RW. Estimation of low-frequency electromechanical modes of power systems from ambient measurement using a subspace method. in 35th North American Power Symposium. Rolla, Missouri, Oct. 2003.
  • Gouging L, Venkatasubramanian V. Oscillation monitoring from ambient PMU measurement by frequency domain decomposition. IEEE International Symposium on, 2008. Seattle, WA, 2008.
  • Lin YH, Zio E. Online estimation of degradation state under random change of mode. IEEE Trans Instrum Meas. 2021 June 16;70:2821–2824.
  • Cai D, Regulski P, Osborne M, et al. Wide area inter-area oscillation monitoring using fast nonlinear estimation algorithm. IEEE Trans Smart Grid. 2013 Sept;4(3):1721–1731.
  • Chen J, Jin T, Mohamed MA, et al. An adaptive TLS-ESPRIT algorithm based on an S-G filter for analysis of low frequency oscillation in wide area measurement systems. IEEE Access. 2019;7:47644–47654.
  • Jin T, Liu S, Flesch RCC. Mode identification of low-frequency oscillations in power systems based on fourth-order mixed mean cumulant and improved TLS-ESPRIT algorithm. IET Gener Transm Distrib. 2017 October 19;11(15):3739–3748.
  • Messina AR, Vittal V. “Nonlinear non-stationary analysis of interarea oscillations via Hilbert spectral analysis. IEEE Transaction Power Sys. 2006;21(3):1234–1241.
  • Bakhshi M, Noroozian R, Gherepetian GB. Anti-islanding scheme for synchronous DG units based on Tufts-Kumaresan signal estimation method. IEEE Trans Power Delivery. 2013;23:1–10.
  • Kumaresan R, Tufts DW. Estimating the parameters of exp nentially damped sinusoids and pole-zero modeling in noise. IEEE Trans. Acoust. Speech Signal Process. 1982 Dec;ASSP-30(6): 833–840.
  • Joice GP, Jain T. An improved stochastic subspace identification based estimation of low frequency modes in power system using synchrophasors. Elsevier Int J Electrical Power Energy Sys. 2019. July. 109: 495–503.
  • Papadopoulos PN, Papadopoulos TA, Chrysochos AI, et al.Measurement based method for online characterization of generator dynamic behaviour in systems with renewable generation. IEEE Transaction on Power Sys. 2018 Dec;33:1–10.
  • Setareh M, Parniani M, Aminifar F. Ambient data-based online electromechanical mode estimation by error–feedback lattice RLS filter. IEEE Trans Power Syst. 2018 July;33(4):3745–3756.
  • Sarkar M, Subudhi B, Ghosh S. Unified smith predictor based H∞ wide-area damping controller to improve the control resiliency to communication failure. IEEE/CAA J Autom. Sin. 2020 March;7(2):584–596.
  • Sarkar M, Subudhi B. Unified smith predictor based loop-shaping H∞ damping controller for mitigating inter-area oscillations in power system. IET Cyber. IET CyberPhys. Syst.: Theory Appl IET Cyber-Physical Systems: Theory & Applications. 2020;5(4):366–375.

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