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Real-time Parameter Identification With Synchrophasor Trajectory Fitting Technique for Subsynchronous/Supersynchronous Oscillations in Power Systems

被引：0
|
作者：
Zhang F. [1 ]
Liu J. [1 ]
Li J. [1 ]
Xie X. [2 ]
机构：
[1] School of Electrical Engineering, Beijing Jiaotong University, Haidian District, Beijing
[2] Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 04期
基金：
中国国家自然科学基金;
关键词：
curve fitting; parameter identification; subsynchronous / supersynchronous oscillations; synchrophasor;
D O I：
10.13334/j.0258-8013.pcsee.212806
中图分类号：
学科分类号：
摘要：
The parameter identification of subsynchronous oscillation based on synchrophasors can effectively monitor the dynamics of subsynchronous oscillations. This paper proposes a real-time parameter identification method for subsynchronous/supersynchronous oscillations in power systems based on synchrophasor trajectory fitting. The frequency, amplitude, and phase of the frequency-shifted fundamental, subsynchronous, and supersynchronous components can be accurately obtained by solving the overdetermined nonlinear synchrophasor trajectory fitting equations. By utilizing the trajectory characteristics of the coupled rotation of the synchrophasor’s positive and negative frequency parts corresponding to each component, this method can perform real-time parameter identification only based on the 100ms synchrophasor data sequence. Compared with the existing algorithms, the proposed method has the following advantages: on the one hand, it can identify the parameters of the supersynchronous component coupled with the subsynchronous component. On the other hand, the extra short data window greatly improves the real-time performance of the algorithm and overcomes the frequency resolution limitation of the spectrum analysis method. The comparative analysis results with simulated phasor measurement unit(PMU) data and actual simulation data show that the proposed method can accurately obtain the fundamental and subsynchronous/supersynchronous parameters and effectively realize the real-time dynamic monitoring of subsynchronous oscillations. ©2023 Chin.Soc.for Elec.Eng.
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页码：1413 / 1425
页数：12
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共 22 条
  • [11] MA Ningning, XIE Xiaorong, HE Jingbo, Review of wide-band oscillation in renewable and power electronics highly integrated power systems[J], Proceedings of the CSEE, 40, 15, pp. 4720-4731, (2020)
  • [12] Xiaorong XIE, ZHAN Ying, Identifying the source of subsynchronous control interaction via wide-area monitoring of sub/super-synchronous power flows[J], IEEE Transactions on Power Delivery, 35, 5, pp. 2177-2185, (2020)
  • [13] NETTO M, MILI L．, A robust prony method for power system electromechanical modes identification[J], IEEE PES General Meeting, 18, 1, pp. 167-173, (2017)
  • [14] PATERNINA M, TRIPATHY R K, ZAMORA-MENDEZ A, Identification of electromechanical oscillatory modes based on variational mode decomposition[J], Electric Power Systems Research, 167, pp. 71-85, (2019)
  • [15] LIN H C, Power harmonics and interharmonics measurement using recursive group-harmonic power minimizing algorithm[J], IEEE Transactions on Industrial Electronics, 59, 2, pp. 1184-1193, (2012)
  • [16] DONG Feifei, LIU Dichen, LIAO Qingfen, Subsynchronous oscillation modal identification based on damping sine atomic decomposition[J], Proceedings of the CSEE, 33, 19, pp. 119-125, (2013)
  • [17] LI Juan, YANG Yuanhong, JIAO Shaohua, Real-time identification of subsynchronous oscillation modal parameters based on dynamic characteristics of generator rotors under ambient excitation[J], Proceedings of the CSEE, 34, 30, pp. 5408-5415, (2014)
  • [18] RAUHALA T，, GOLE A M，, JARVENTAUSTA P．, Detection of subsynchronous torsional oscillation frequencies using phasor measurement[J], IEEE Transactions on Power Delivery, 31, 1, pp. 11-19, (2016)
  • [19] ZHANG Min, SHEN Jian, HOU Mingguo, Discussion on on-line identification and warning of subsynchronous oscillation for phasor measuring unit[J], Automation of Electric Power Systems, 40, 16, pp. 143-146, (2016)
  • [20] MA Yue, CAI Dongsheng, HUANG Qi, Parameter identification of wind power sub-synchronous oscillation based on Rife-Vincent window and synchrophasor data[J], Proceedings of the CSEE, 41, 3, pp. 790-802, (2021)
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