Maximum power tracking strategy of a wind energy conversion system based on resonant with active disturbance rejection control
Robotic Intelligence and Automation
ISSN: 2754-6969
Article publication date: 31 October 2023
Issue publication date: 17 November 2023
Abstract
Purpose
This study aims to construct a novel maximum power tracking control system for the direct drive permanent magnet synchronous generator (PMSG) of the wind energy conversion system (WECS) to solve the following problems: how to effectively eliminate the system’s model parameter disturbances and speed up the dynamic performance of the system; and how to eliminate harmonics in WECS under different wind speeds.
Design/methodology/approach
To obtain the maximum output power of PMSG at WECS under different wind speeds, the following issues should be considered: (1) how to effectively eliminate the system’s model parameter disturbances and speed up the dynamic performance of the system; and (2) how to suppress system harmonics. For Problem 1, adding d–q compensation factors to active disturbance rejection control (ADRC) for the current loop realizes the d–q axis decoupling control, which speeds up the dynamic performance of the system. For Problem 2, the resonant controller is introduced into the ADRC for the current loop to suppress harmonic current in WECS under different wind speeds.
Findings
The simulation results demonstrate that the proposed control method is simpler and more reliable than conventional controllers for maximum power tracking.
Originality/value
Compared with traditional controllers, the proposed controller can speed up the dynamic performance of the system and suppress the current harmonic effectively, thus better achieving maximum power tracking.
Keywords
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 51875380).
Conflicts of interest/Competing interests: The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.
Availability of data and material (data transparency): All data generated or analyzed during this study are included in this published article.
Consent for publication (include appropriate statements): The authors agree with the publication requirements of the journal.
Declarations: The authors declare no competing interests.
Since acceptance of this article, the following author have updated their affiliations: Qixin Zhu is at the College of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, China.
Citation
Xiong, L., Shi, H. and Zhu, Q. (2023), "Maximum power tracking strategy of a wind energy conversion system based on resonant with active disturbance rejection control", Robotic Intelligence and Automation, Vol. 43 No. 6, pp. 637-647. https://doi.org/10.1108/RIA-04-2022-0078
Publisher
:Emerald Publishing Limited
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