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Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer

Author

Listed:
  • Youjie Ma

    (School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin 300384, China)

  • Long Tao

    (School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin 300384, China)

  • Xuesong Zhou

    (School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin 300384, China)

  • Wei Li

    (School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin 300384, China)

  • Xueqi Shi

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

Abstract

Recently, wind energy conversion systems (WECSs) have attracted attention due to their effective application in renewable energy sources. It is a complex system with multi-variables, strong coupling, non-linearity, and variable parameters; however, traditional control systems are inadequate in answering the demands of complex systems. In order to solve the complexity and improve the transient stability during grid faults and power fluctuations, this paper proposes a fuzzy logic system with the linear extended state observer (FLS-LESO) applied to WECSs based on a permanent magnet synchronous generator (PMSG). The FLS-LESO consists of a fuzzy logic controller, a conventional PD controller, and the linear extended state observer (LESO). This paper analyzes the mathematical model of a wind power system and combines it with LESO to improve the estimation accuracy of the observer and further improve the control performance. In the simulation study, the control performance of the FLS-LESO was also tested under various operating conditions using the MATLAB/Simulink simulation platform to verify the correctness and effectiveness of the control system.

Suggested Citation

  • Youjie Ma & Long Tao & Xuesong Zhou & Wei Li & Xueqi Shi, 2019. "Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer," Energies, MDPI, vol. 12(15), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2862-:d:251535
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    References listed on IDEAS

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    5. Pedro G. Lind & Luis Vera-Tudela & Matthias Wächter & Martin Kühn & Joachim Peinke, 2017. "Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach," Energies, MDPI, vol. 10(12), pages 1-14, November.
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    Cited by:

    1. Zhonglin Lin & Qingyan Wei & Runmin Ji & Xianghua Huang & Yuan Yuan & Zhiwen Zhao, 2019. "An Electro-Pneumatic Force Tracking System using Fuzzy Logic Based Volume Flow Control," Energies, MDPI, vol. 12(20), pages 1-21, October.
    2. Nicholas Hawkins & Michael L. McIntyre, 2021. "A Robust Nonlinear Controller for PMSG Wind Turbines," Energies, MDPI, vol. 14(4), pages 1-17, February.

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