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Published in: Energy Systems 4/2018

04-10-2017 | Original Paper

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

Authors: Seyed Abbas Taher, Zahra Dehghani Arani, Mohsen Rahimi, Mohammad Shahidehpour

Published in: Energy Systems | Issue 4/2018

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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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Metadata
Title
Model predictive fuzzy control for enhancing FRT capability of DFIG-based WT in real-time simulation environment
Authors
Seyed Abbas Taher
Zahra Dehghani Arani
Mohsen Rahimi
Mohammad Shahidehpour
Publication date
04-10-2017
Publisher
Springer Berlin Heidelberg
Published in
Energy Systems / Issue 4/2018
Print ISSN: 1868-3967
Electronic ISSN: 1868-3975
DOI
https://doi.org/10.1007/s12667-017-0252-x

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