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Model predictive fuzzy control for enhancing FRT capability of DFIG-based WT in real-time simulation environment

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Abstract

Fault ride through (FRT) capability creates a challenging condition for wind turbines (WTs) with a doubly fed induction generator (DFIG). In order to fulfill the FRT requirement for WTs with DFIG, the over-current in rotor circuit and theDC-link over-voltage during fault conditions must be addressed. This paper proposes an application of the model predictive control (MPC) system to power converters and uses Takagi–Sugeno–Kang type fuzzy logic control for improving the FRT capability of WTs with DFIG. The effectiveness of the proposed MPC method is compared with conventional proportional-plus-integral controllers with pulse-width modulation. The real-time simulation results illustrate the improved performance offered by the proposed control scheme for maintaining the rotor current and the DC-link voltage within permissible ranges when power grid faults occur.

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Authors and Affiliations

  1. Department of Electrical Engineering, University of Kashan, Kashan, 87317-51167, Iran

    Seyed Abbas Taher, Zahra Dehghani Arani & Mohsen Rahimi

  2. Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, USA

    Mohammad Shahidehpour

Authors
  1. Seyed Abbas Taher
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  2. Zahra Dehghani Arani
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  3. Mohsen Rahimi
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  4. Mohammad Shahidehpour
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Correspondence to Seyed Abbas Taher.

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Taher, S.A., Arani, Z.D., Rahimi, M. et al. Model predictive fuzzy control for enhancing FRT capability of DFIG-based WT in real-time simulation environment. Energy Syst 9, 899–919 (2018). https://doi.org/10.1007/s12667-017-0252-x

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  • DOI: https://doi.org/10.1007/s12667-017-0252-x

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