Accurate parameter identification method for coupled sub/super-synchronous oscillations for high penetration wind power systems

Dongsheng Cai; Feiyu Sun; Linlin Li; Weihao Hu; Qi Huang

doi:10.1016/j.isatra.2024.05.001

Accurate parameter identification method for coupled sub/super-synchronous oscillations for high penetration wind power systems

ISA Trans. 2024 May 13:S0019-0578(24)00201-5. doi: 10.1016/j.isatra.2024.05.001. Online ahead of print.

Authors

Dongsheng Cai¹, Feiyu Sun², Linlin Li², Weihao Hu³, Qi Huang⁴

Affiliations

¹ College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan 610059, China. Electronic address: caidongsheng@cdut.edu.cn.
² College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan 610059, China.
³ Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control, University of Electronic Science and Technology of China, Chengdu 611731, China.
⁴ College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Sichuan 610059, China; School of Information, Southwest University of Technology, Mianyang, China. Electronic address: hwong@cdut.edu.cn.

PMID: 38755065
DOI: 10.1016/j.isatra.2024.05.001

Abstract

As the penetration of renewable energy increases to a large scale and power electronic devices become widespread, power systems are becoming prone to synchronous oscillations (SO). This event has a major impact on the stability of the power grid. The recent research has been mainly concentrated on identifying the parameters of sub-synchronous oscillation. Sub/Super synchronous oscillations (Sub/Sup-SO) simultaneously occur, increasing the difficulty in accurately identify the parameters of SO. This work presents a novel method for parameter identification that effectively handles the Sub/Sup-SO components by utilizing the Rife-Vincent window and discrete Fourier transform (DFT) simultaneously. To mitigate the impact of spectral leakage and the fence effect of DFT, we integrate the tri-spectral interpolation algorithm with the Rife-Vincent window. We use the instantaneous data of the phasor measurement unit (PMU) to identify Sub/Sup-SO-related parameters (Sub/Sup-SO damping ratio, frequency, amplitude and phase). First, the spectrum of the Sub/Sup-SO signals is analyzed after incorporating the Rife-Vincent window, and the characteristics of the Sub/Sup-SO signal are determined. Then, the signal spectrum is identified using a three-point interpolation algorithm, and the damping ratio, amplitude, frequency, and phase of the Sub/Sup-SO signals are obtained. In addition, we consider the identification accuracy of the algorithm under various complex conditions, such as the effect of Sub/Sup-SO parameter variations on parameter identification in the presence of a non-nominal frequency and noise. The proposed algorithm accurately identifies the parameters of multiple Sub/Sup-SO components and two Sub-SO components that are in close proximity. Testing with synthetic and real data demonstrates that the proposed algorithm outperforms existing methods in terms of identification accuracy, identification bandwidth, and adaptability.

Keywords: Modal parameter identification; Rife–Vincent window; Sub/super-synchronous oscillation; Tri-spectral line interpolation algorithm.