Oscillation Mode Identification of Self-Synchronized Voltage Source Doubly-Fed Wind Turbine Based on Continuous Wavelet Transform

Siying Xu, Yunfeng Cao, Han Wang, Wei Wang, Dongmei Yang, Xu Cai
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Abstract

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.
基于连续小波变换的自同步电压源双馈风力发电机组振荡模式辨识
可再生能源和电力电子设备在电网中所占比例过高所引起的振荡问题日益突出。针对自同步电压源双馈风电机组连接的弱电网中高频频率稳定问题,首先建立了考虑转子侧变流器(RSC)和电网侧变流器(GSC)的动态状态空间模型。采用基于特征值的分析方法研究了系统的振动模态。针对基于特征值的方法缺乏时频分辨能力的缺陷,采用连续小波变换(CWT)在时频域上揭示双馈风力发电系统的振荡模式。通过小波的相对能量在线识别出主振荡模式,并与基于fft的分析结果相互验证。最后,在PSCAD/EMTDC中建立了2MW双馈风力发电机组的仿真模型,仿真结果验证了理论分析的正确性。研究结果可为双馈风力发电系统的故障诊断提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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