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Durham University

Department of Engineering

Staff Profile

Publication details for Dr Christopher Crabtree

Zaggout, M. N., Tavner, P. J., Crabtree, C. J. & Ran, L. (2014). Detection of Rotor Electrical Asymmetry in Wind Turbine Doubly-Fed Induction Generators. IET Renewable Power Generation 8(8): 878-886.

Author(s) from Durham


This study presents a new technique for detecting rotor electrical faults in wind turbine doubly-fed induction generators (DFIGs), controlled by a stator field-oriented vector control scheme. This is a novel method aimed at detecting and identifying rotor electrical asymmetry faults from within the rotor-side inverter control loop, using the error signal, to provide a future method of generator condition monitoring with enhanced detection sensitivity. Simulation and experimental measurements of the proposed signals were carried out under steady-state operation for both healthy and faulty generator conditions. Stator current and power were also investigated for rotor electrical asymmetry detection and comparison made with rotor-side inverter control signals. An investigation was then performed to define the sensitivity of the proposed monitoring signals to fault severity changes and a comparison made with previous current, power and vibration signal methods. The results confirm that a simple spectrum analysis of the proposed control loop signals gives effective and sensitive DFIG rotor electrical asymmetry detection.