Title :
Detection of rotor electrical asymmetry in wind turbine doubly-fed induction generators
Author :
Zaggout, Mahmoud ; Tavner, Peter ; Crabtree, C. ; Li Ran
Author_Institution :
Sch. of Eng. & Comput. Sci., Durham Univ., Durham, UK
Abstract :
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.
Keywords :
asynchronous generators; condition monitoring; fault diagnosis; invertors; machine vector control; rotors; spectral analysis; stators; wind turbines; DFIG condition monitoring; control loop signal; doubly fed induction generator; error signal; fault detection sensitivity enhancement; fault severity; rotor electrical asymmetry fault detection; rotor side inverter control loop; spectrum analysis; stator current; stator field oriented vector control scheme; stator power; steady-state operation; wind turbine;
Journal_Title :
Renewable Power Generation, IET
DOI :
10.1049/iet-rpg.2013.0324