Grid-connected control method of hybrid drive wind turbine based on backstepping sliding mode

被引:0
|
作者
Wang Z. [1 ]
Yin W. [1 ,2 ]
Liu L. [3 ]
Peng K. [1 ]
Li J. [2 ]
Rui X. [3 ]
机构
[1] School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo
[2] Key Laboratory of Modern Power Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin
[3] School of Energy,Power and Mechanical Engineering, North China Electric Power University, Beijing
基金
中国国家自然科学基金;
关键词
backstepping method; excitation control; extended state observer; hybrid drive; sliding mode control; wind power generation;
D O I
10.16081/j.epae.202208012
中图分类号
学科分类号
摘要
The hybrid drive wind turbine(HDWT) equipped with the speed regulating differential mechanism is able to employ synchronous generator to achieve friendly grid-connected consumption of wind power without power electronic frequency conversion devices. In order to further improve the grid-connected operation performance of the new type HDWT,combined with the backstepping design method and sliding mode control theory,a backstepping sliding mode excitation control method suitable for the HDWT generating unit is proposed. By combining the extended state observer with the proposed backstepping sliding mode control theory,the undesired influences of model parameter uncertainty in the control system and the disturbances from wind wheel and grid sides can all be well-compensated. The Lyapunov criterion is constructed and the global asymptotic stability of the control system is proved. The simulation model and semi-physical test platform of a 1.5 MW HDWT are built,and the control effect of the proposed control method is compared and verified. The results show that under different wind speed conditions and grid faults,the proposed backstepping sliding mode excitation control method can better improve the grid-connected operation performance of HDWT. © 2023 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码:117 / 123
页数:6
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