Torsional vibration characteristic study of the grid-connected DFIG wind turbine

International Conference on Energy Engineering and Environmental Protection 2016

能源学;生态环境科学

Yu, Songtao^1 ; Xie, Da^1 ; Wu, Wangping^1 ; Gu, Chenghong^2 ; Li, Furong^2

School of Electronic and Electrical Engineering, Shanghai Jiaotong University, China^1

Department of Electronic and Electrical Engineering, University of Bath, Bath

BA2 7AY, United Kingdom^2

关键词: Doubly Fed Induction generators (DFIG);    Dynamic characteristics;    Low frequency oscillations;    Participation factors;    Series compensation;    Small signal stability;    Small-signal analysis;    Voltage Source Converter (VSC);   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/52/1/012022/pdf
DOI  :  10.1088/1742-6596/52/1/012022

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper studies the torsional vibration characteristics of the grid-connected doubly-fed induction generator (DFIG) wind turbine by small signal analysis method. Firstly a detailed small-signal stability union model of the grid-connected DFIG wind turbine is developed, including the mechanical system and electrical system. To study the dynamic characteristic of the blade, gearbox, low speed and high speed shafts, a three mass shaft model for the mechanical system is adopted. At the same time, small signal models of DFIG, the voltage source converter (VSC) and the transmission line of the electrical system are developed respectively. Then, through calculating the eigenvalues of the state matrix A and the corresponding participation factors, the modal analysis is conducted in the shaft torsional vibration issues. And the impact of the system parameters including the series compensation capacitor, the flat-wave reactor, the PI parameters, especially the speed controller of generator rotor on shaft torsional vibration are discussed. The results show that the speed controller strengthens association between the mechanical system and the electrical system, and also produces a low-frequency oscillation mode.