OPTIMAL BANDWIDTH ACTIVE DISTURBANCE REJECTION CONTROL FOR WIND TURBINE GRID-CONNECTION BASED ON NEURAL NETWORK

Zhou Xuesong; Yang Ziming; Ma Youjie

doi:10.19912/j.0254-0096.tynxb.2021-0240

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (9) : 226-235. DOI: 10.19912/j.0254-0096.tynxb.2021-0240

OPTIMAL BANDWIDTH ACTIVE DISTURBANCE REJECTION CONTROL FOR WIND TURBINE GRID-CONNECTION BASED ON NEURAL NETWORK

Zhou Xuesong^1,2, Yang Ziming^1,2, Ma Youjie^1,2

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Abstract

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 ω_c. 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.

Key words

wind power / neural networks / power converters / liner active disturbance rejection control / optimal bandwidth

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Zhou Xuesong, Yang Ziming, Ma Youjie. OPTIMAL BANDWIDTH ACTIVE DISTURBANCE REJECTION CONTROL FOR WIND TURBINE GRID-CONNECTION BASED ON NEURAL NETWORK[J]. Acta Energiae Solaris Sinica. 2022, 43(9): 226-235 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0240

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