Diagnosis of interturn faults of voltage transformer using excitation current and phase difference

Li, Peng; Guo, Pengcheng

doi:10.1016/j.engfailanal.2021.105979

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…The design and evaluation of a hybrid system for fault detection and prediction in electrical transformers is shown in [ 26 ]. Diagnosis of interturn faults of voltage transformers using excitation current and phase differences is discussed in [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation

Schimmack

Belda

Mercorelli

2023

Sensors

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This paper deals with a specific approach to fault detection in transformer systems using the extended Kalman filter (EKF). Specific faults are investigated in power lines where a transformer is connected and only the primary electrical quantities, input voltage, and current are measured. Faults can occur in either the primary or secondary winding of the transformer. Two EKFs are proposed for fault detection. The first EKF estimates the voltage, current, and electrical load resistance of the secondary winding using measurements of the primary winding. The model of the transformer used is known as mutual inductance. For a short circuit in the secondary winding, the observer generates a signal indicating a fault. The second EKF is designed for harmonic detection and estimates the amplitude and frequency of the primary winding voltage. This contribution focuses on mathematical methods useful for galvanic decoupled soft sensing and fault detection. Moreover, the contribution emphasizes how EKF observers play a key role in the context of sensor fusion, which is characterized by merging multiple lines of information in an accurate conceptualization of data and their reconciliation with the measurements. Simulations demonstrate the efficiency of the fault detection using EKF observers.

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Section: Introductionmentioning

confidence: 99%

Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation

Schimmack

Belda

Mercorelli

2023

Sensors

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“…The turn-to-turn insulation of the voltage transformers was tested in [9,10] via the variable voltage ratio measurement method. The authors of [11,12] checked a voltage transformer's application range by measuring the DC resistance of its windings. Both test methods are available in low-voltage detection schemes.…”

Section: Introductionmentioning

confidence: 99%

Detection of Interturn Short-Circuit Faults in Dry-Type Voltage Transformers Using the Pulse Voltage Method

Nie,

Wang,

Wang

et al. 2023

Energies

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This article investigates the application of the pulse voltage method for detecting interturn short-circuit faults in the high-voltage windings of dry-type voltage transformers. We determined the characterization parameters of the high-voltage windings of dry-type voltage transformers and trends in the variation of the characterization parameters with frequency in the presence and absence of faults. The viability of using the pulse voltage method for the detection of interturn short-circuit faults in dry-type voltage transformers was analyzed. A pulse voltage test platform was designed to analyze the response voltage waveforms using pulse-oscillating voltage experiments on transformers with various short-circuit faults. The results demonstrate that during a turn-to-turn short circuit, the equivalent resistance and inductance of a high-voltage winding are significantly lowered. When employing the pulse voltage method to investigate interturn short-circuit faults, tiny inductors are connected in parallel to produce an oscillating voltage waveform that is more uniform. Upon incurring a short circuit between turns, the pulse’s oscillating voltage frequency increases. The greater the number of turns in the short-circuit fault is, the more significant the effect of the test.

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