Internal electrical fault detection techniques in DFIG-based wind turbines: a review

Protection and Control of Modern Power Systems

Table 1 A comparison among different techniques used to detect DFIG stator faults

References	Techniques	Advantages	Limitations
[33,34,35]	Park’s vector approach	Identify fault location	Affected by unbalanced voltage
[23, 39]	Multi-circuit theory	Simple	Time consuming
[41, 51, 57]	Wavelet transform	High accuracy	Time consuming
[25]	Coupled-circuit	On-line	Affected by the geometry of the machine
[44, 45]	Residual signals	Robust, low cost	Sensitive to any abnormality
[20, 24, 36, 38, 48, 55, 56]	Motor current signature analysis	High accuracy	Requires additional sensors
[41, 51, 57]	Wavelet analysis	Multi resolution	Less sensitive to low power
[52]	Magnetic equivalent circuit	High accuracy	Affected by the geometry of the machine
[43, 58, 59]	Sequence component	On-line	Unable to detect the fault location
[60, 61]	Transient leakage inductance	Identify fault severity	Affected by sensors mismatch error
[62,63,64,65,66,67]	Vibration	On-line and simple	Requires additional sensors
[68]	Dc bus field	Low cost	Requires additional sensors
[69, 70]	Magnetic flux	Identify fault location	Requires additional sensors