TY - GEN
T1 - Oscillation Mode Identification of Self-Synchronized Voltage Source Doubly-Fed Wind Turbine Based on Continuous Wavelet Transform
AU - Xu, Siying
AU - Cao, Yunfeng
AU - Wang, Han
AU - Wang, Wei
AU - Yang, Dongmei
AU - Cai, Xu
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The oscillation problem caused by high proportion of renewable energy and power electronic equipment in power grid is becoming more and more significant. Aiming at the problem of medium-high frequency frequency stability in a weak grid connected with self-synchronized voltage source doubly-fed wind turbine, a dynamic state-space model considering both the rotor-side converter (RSC) and the grid-side converter (GSC) was first established. The oscillation mode of the system was studied by eigenvalue-based analysis. For the defect that the eigenvalue-based method is lack of time-frequency resolution capability, the continuous wavelet transform (CWT) is adopted to reveal the oscillation mode of the doubly-fed wind generation system in the time-frequency domain. The dominant oscillation mode is identified online through the relative energy of the wavelet, which is mutually verified by the FFT-based analysis results. Finally, a simulation model of a 2MW doubly-fed wind turbine is built in PSCAD/EMTDC, and the simulation results verified the correctness of the theoretical analysis. The research results provide a reference for fault diagnosis of doubly-fed wind generation systems.
AB - The oscillation problem caused by high proportion of renewable energy and power electronic equipment in power grid is becoming more and more significant. Aiming at the problem of medium-high frequency frequency stability in a weak grid connected with self-synchronized voltage source doubly-fed wind turbine, a dynamic state-space model considering both the rotor-side converter (RSC) and the grid-side converter (GSC) was first established. The oscillation mode of the system was studied by eigenvalue-based analysis. For the defect that the eigenvalue-based method is lack of time-frequency resolution capability, the continuous wavelet transform (CWT) is adopted to reveal the oscillation mode of the doubly-fed wind generation system in the time-frequency domain. The dominant oscillation mode is identified online through the relative energy of the wavelet, which is mutually verified by the FFT-based analysis results. Finally, a simulation model of a 2MW doubly-fed wind turbine is built in PSCAD/EMTDC, and the simulation results verified the correctness of the theoretical analysis. The research results provide a reference for fault diagnosis of doubly-fed wind generation systems.
KW - continuous wavelet transform
KW - oscillation mode
KW - self-synchronized voltage source doubly-fed wind turbine
KW - state-space model
UR - https://www.scopus.com/pages/publications/85170401833
U2 - 10.1109/PEDG56097.2023.10215130
DO - 10.1109/PEDG56097.2023.10215130
M3 - 会议稿件
AN - SCOPUS:85170401833
T3 - PEDG 2023 - 2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems
SP - 180
EP - 184
BT - PEDG 2023 - 2023 IEEE 14th International Symposium on Power Electronics for Distributed Generation Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2023
Y2 - 9 June 2023 through 12 June 2023
ER -
