Abstract
This paper presents a novel study of the wide-band spectral signatures in the controller signals of doubly fed induction generators (DFIGs) for the identification of rotor electrical faults. The aim is to advance the understanding of diagnostic information obtainable from the readily available DFIG controller signals. Analytical equations defining the controller signals possible spectral contents are derived to enable characterization of spectral signatures and their correlation to operating conditions and rotor faults. The equations are verified in a DFIG harmonic model study and also validated by undertaking a range of experiments on a laboratory DFIG test-rig. It is shown that the calculated, simulated and experimental results are in good agreement with regards to representing fault induced signatures in the examined DFIG controller signals spectra. Furthermore, it is shown that wide-band rotor electrical fault related spectral signatures in the controller signals carry considerable diagnostic potential for recognition of rotor electrical faults.
Highlights
W IND power is becoming an important contributor to global electricity generation, which is expected to reach 2000 GW of installed capacity by 2030 [1]
This paper presents a novel study that investigates the effects of rotor electrical faults on the wide-band controller signals spectra of doubly fed induction generators (DFIGs) for potential fault detection purposes
If the proposed technique is to be used in real applications especially wind turbine (WT) applications, the controller signals that are used as fault indicators will need to be sampled at a higher sampling frequency rate than what is typically implemented in present systems, i.e. in the order of several times a second verses several times an hour, as it typically used
Summary
W IND power is becoming an important contributor to global electricity generation, which is expected to reach 2000 GW of installed capacity by 2030 [1]. This paper presents a novel study that investigates the effects of rotor electrical faults on the wide-band controller signals spectra of DFIGs for potential fault detection purposes. Fault detection techniques that use the controller signals can in theory provide a number of attractive advantages, as they require no installation of additional sensors or data acquisition devices They minimize the masking effect of the controllers to fault related changes that can be pronounced in the terminal signals [9], [11], [19]. Stator and rotor electrical asymmetry [21]; and, stator reactive power for inter-turn short circuit faults and eccentricity faults [10], [22] These studies largely focused on examining only the fundamental harmonic related spectral signatures of the controller signals and did not assess the wide-band, higher order, fault related spectral signatures that could, in principle, carry significant fault detection potential [23]–[25]. The fault detection potential of the identified wide-band REA related spectral signatures of the controller signals are experimentally investigated
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