Application of Multisynchrosqueezing Transform for Subsynchronous Oscillation Detection Using PMU Data

被引:20
|
作者
Ma, Yue [1 ]
Huang, Qi [1 ]
Zhang, Zhenyuan [1 ]
Cai, Dongsheng [1 ]
机构
[1] Univ Elect Sci & Technol China, Key Lab Power Syst Wide Area Measurement & Contro, Sch Mech & Elect Engn, Chengdu 611731, Peoples R China
基金
国家重点研发计划;
关键词
Amplitude; damping factor; frequency; multisynchrosqueezing transform (MSST); phasor measurement unit (PMU); subsynchronous oscillation (SSO); SYNCHROSQUEEZING TRANSFORM; IDENTIFICATION; RESONANCE;
D O I
10.1109/TIA.2021.3057313
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study proposes a new technique using multisynchrosqueezing transform (MSST) for subsynchronous oscillation (SSO) detection and modal parameter identification. First, MSST is used to process the real-time data of voltage or current collected by the phasor measurement unit (PMU) to obtain the time-frequency spectrum representation of the signal. Nonzero MSST coefficients are used to represent the frequency components of the original signal at each time. Then, for the unknown number of subsynchronous frequency range components, the mean-shift algorithm is applied to the nonzero MSST coefficients to determine the number of SSO modes contained in the signal and the mode type to which nonzero MSST coefficients belong. Subsequently, the corresponding MSST coefficients of each mode exceeding the threshold are used to reconstruct the components of the original signal. Finally, the least-squares estimation method is used on the reconstructed signal to obtain the parameters of each mode, such as amplitude, phase angle, and damping factor. Through simulation case studies and comparison with existing methods, it is verified that the proposed method utilizes the abundant information contained in the PMU data and demonstrates superiority and effectiveness in multimodal signal time-frequency analysis. Moreover, practical issues and potential applications of this technique are systematically discussed.
引用
收藏
页码:2006 / 2013
页数:8
相关论文
共 50 条
  • [31] Subsynchronous Oscillation Detection Using Synchrosqueezing Wavelet Transforms and K-means Clustering
    Lu, Jianluo
    Yang, Yude
    2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020), 2020, : 100 - 104
  • [32] Second-Order Multisynchrosqueezing Wavelet Transform for Bearing Fault Detection
    Han, Bo
    Li, Changsong
    Zhou, Yiqi
    Yu, Gang
    Wei, Chenglong
    JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2022, 10 (04) : 1541 - 1559
  • [33] APPLICATION OF SUBSYNCHRONOUS OSCILLATION RELAY-TYPE SSO.
    Agrawal, B.L.
    Farmer, R.G.
    AIAA Paper, 1980,
  • [34] Damping subsynchronous oscillation using UPFC - A FACTS device
    Bo, W
    Yan, Z
    POWERCON 2002: INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS 1-4, PROCEEDINGS, 2002, : 2298 - 2301
  • [35] Detection of Bad PMU Data using Machine Learning Techniques
    Karpilow, Alexandra
    Cherkaoui, Rachid
    D'Arco, Salvatore
    Thuc Dinh Duong
    2020 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2020,
  • [36] Second-order multisynchrosqueezing transform and its application in turbopump signal processing
    Zhang W.
    Lu Z.
    Zhang J.
    Zhang N.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (12): : 145 - 151+193
  • [38] A PMU-Based Fast Real-Time Sub-synchronous Oscillation Detection Application
    Vanfretti, Luigi
    Baudette, Maxime
    Luis Dominguez-Garcia, Jose
    White, Austin
    Almas, Muhammad Shoaib
    Gjerdeo, Jan Ove
    2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015), 2015, : 1892 - 1897
  • [39] Application of Power System Wide-Band Oscillation Monitoring and Alarm System Based on PMU Data
    Dong, SiChen
    2024 IEEE 2ND INTERNATIONAL CONFERENCE ON POWER SCIENCE AND TECHNOLOGY, ICPST 2024, 2024, : 1142 - 1146
  • [40] Mitigation of subsynchronous resonance by SVC using PMU-acquired remote generator speed
    Varma, Rajiv. K.
    Auddy, S.
    2006 IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2, 2006, : 256 - +