Modelling and fault diagnosis of stator inter-turn short circuit in doubly fed induction generators

Qian Lu, Timofei Breikin, Hong Wang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


    In this paper, a dynamic state space model of a DFIG with stator inter-turn short circuit fault is proposed. This model can quantitatively describe the fault at any level in any single phase. Both healthy and faulty conditions can be simulated by using this model. Base on this model, an observer based fault detection and diagnosis (FDD) scheme is developed, which can not only provide a rapid detection when fault occurs but also give an accurate diagnosis of the fault position and level. In order to ensure the observer stability under a wide rang of the speed variation of DFIGs, a time varying Kalman like gain supplied with measured rotor speed is applied to the observers. Moreover, an exponential adaptive observer is employed to provide a desirable estimation of fault level. The simulation results demonstrate the effectiveness of this approach in detecting and diagnosing the faults under both stationary and speed varying operations. The latter is particularly important for fault detection of wind turbine DFIGs. © 2011 IFAC.
    Original languageEnglish
    Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)|IFAC Proc. Vol. (IFAC-PapersOnline)
    Number of pages5
    Publication statusPublished - 2011
    Event18th IFAC World Congress - Milan, Italy
    Duration: 28 Aug 20112 Sept 2011


    Conference18th IFAC World Congress
    CityMilan, Italy


    • DFIG
    • FDD
    • Inter-turn short circuit
    • Observer
    • State space model


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