Optimal bandwidth active disturbance rejection control for wind turbine grid-connection based on neural network

被引：0
作者：
Zhou X. [1 ,2 ]
Yang Z. [1 ,2 ]
Ma Y. [1 ,2 ]
机构：
[1] School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin
[2] Tianjin Key Laboratory of Control Theory and Application for Complex Systems, Tianjin University of Technology, Tianjin
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 09期
关键词：
Liner active disturbance rejection control; Neural networks; Optimal bandwidth; Power converters; Wind power;
D O I：
10.19912/j.0254-0096.tynxb.2021-0240
中图分类号：
学科分类号：
摘要：
In order to improve the transient characteristics of DC bus voltage in wind energy conversion system during fault ride through, solve the contradiction between the response speed of the observer and the anti-interference performance of the system caused by the fixed bandwidth in the linear active disturbance rejection control(LADRC), the optimal bandwidth linear active disturbance rejection control based on neural network(LADRC-OB)is proposed based on LADRC. Firstly, the influence of bandwidth on the system performance is analyzed. Then the LADRC is designed according to the known model of the system, and the output of the network is adjusted by using BP neural network algorithm through the error between the reference value and the actual value of the DC bus voltage. The output of neural network is two important parameters of LADRC, observer bandwidth ω0 and controller bandwidth ωc. This also solves the problem of LADRC parameter setting. Finally, the LADRC-OB is applied to the simulation model of the 1.5 MW wind energy conversion system, and compared with the control effect of double closed- loop PI, it is verified that LADRC- OB has better control characteristics. In addition, the stability of LADRC-OB is analyzed. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
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页码：226 / 235
页数：9
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