Measurement of neutral currents in a power transformer and fault detection using wavelet techniques

Bhoomaiah, A.; Reddy, P. Kiran Kumar; Murthy, K. S. R.; Naidu, P. Appala; Singh, Bindeshwar

doi:10.1109/ceidp.2004.1364216

Cited by 13 publications

(8 citation statements)

References 1 publication

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“…Their convolutions with the neutral current of the transformer under impulse test can demonstrate an indication of the inter-turn fault [24]-[25].…”

mentioning

confidence: 99%

Analysis of winding inter-turn fault in transformer: A review and transformer models

Bhide¹,

Srinivas²,

Banerjee³

et al. 2010

2010 IEEE International Conference on Sustainable Energy Technologies (ICSET)

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Transformers have emerged as an integrated part of a power system. Any fault in the transformer can cause a severe outage, which therefore necessitates continuous monitoring and diagnostics of its operation. The renewed thrust in smart power system networks along with the development of advanced methods in the monitoring and diagnostics has resulted in major impetus to research in the related domain. Among the detection of various faults in the transformer (or in any electrical machine in general), detection of winding inter-turn fault is critical since its effect is not easily comprehendible at lower magnitude in the signatures of terminal voltages and currents. Several techniques have been reported in the literature for detecting this fault. This paper reviews and compares the diagnostics methods based on their advantages and limitations. This highlights a further scope in the monitoring and diagnostic of the winding inter-turn fault. Finally, simple analytical models of three-and five-legged transformers are developed based on their electrical and magnetic equivalent circuits, which can be easily implemented in the analysis of winding inter-turn fault. Various results obtained from the analytical models are validated with the help of Finite Element (FE) modeling using ANSYS Parametric Design Language (APDL).

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“…Their convolutions with the neutral current of the transformer under impulse test can demonstrate an indication of the inter-turn fault [24]-[25].…”

mentioning

confidence: 99%

Analysis of winding inter-turn fault in transformer: A review and transformer models

Bhide¹,

Srinivas²,

Banerjee³

et al. 2010

2010 IEEE International Conference on Sustainable Energy Technologies (ICSET)

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“…This is modelled in figure 4 such that the parts of the transmission line before and after the short circuit as a resistor and inductor connected in a series. In order to mathematically analyse this we use the Kirchhoff voltage law and Ohm's law: (15) in which V in is the source voltage, I 1 is the source current, V S is the short voltage, I 2 is the load current, V out is the load voltage. R 1 and L 1 are resistance and inductance before the short, R 2 and L 2 are resistance and inductance after the short and Z is the load impedance.…”

Section: The Lumped Circuit Modelmentioning

confidence: 99%

“…In another research [14], Petri nets were used to obtain the modeling and location detection of faults in power systems. Another widely used method is that of wavelet transform analysis [15][16][17][18]. We will compare the accuracy of the current method to the accuracy of previous art in the concluding section.…”

mentioning

confidence: 99%

Real Time Fault Location Using the Retardation Method

Nabwani¹,

Suleymanov²,

Pinhasi³

et al. 2022

Preprint

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A new method for short circuit fault location is proposed based on instantaneous signal measurement and its derivatives, and is based on the retardation phenomena. The difference between the times in which a signal is registered in two detectors is used to locate the fault. Although a description of faults in terms of a lumped circuit is useful for elucidating the methods for detecting the fault. This description will not suffice to describe the fault signal propagation hence a distributed models is needed which is given in terms of the telegraph equations. Those equations are used to derive a transmission line transfer function, and an exact analytical description of the short circuit signal propagating in the transmission line is obtained. The analytical solution was verified both by numerical simulations and experimentally.

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“…However, these tests cannot detect an incipient winding interturn fault very fast. In recent times, wavelet transforms, artificial neural networks (ANNs), finite-element based modeling, and frequency-response analysis have been used for detecting winding faults [11]- [14]. However, they require high computational power and memory that limits their application for online fault detection.…”

Section: Introductionmentioning

confidence: 99%

Online Detection of an Interturn Winding Fault in Single-Phase Distribution Transformers Using a Terminal Measurement-Based Modeling Technique

Bhowmick

Nandi

2015

IEEE Trans. Power Delivery

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A noninvasive scheme for real-time and online detection of interturn winding faults in single-phase transformers has been proposed. A terminal measurement-based transformer modeling technique is central to the fault detection scheme. First, with the experimentally acquired primary line voltage and line current data of the healthy transformer, a healthy no-load model of the transformer is generated. Next, a healthy estimated indicator value, computed from this model under the given input voltage condition, is compared with the actual indicator value for detecting the presence of an interturn winding fault. Experiments have shown that the proposed scheme is not only capable of detecting incipient levels of interturn winding faults on primary and secondary windings under any load conditions, but also can estimate the fault severity level. In the end, a procedure to determine a suitable tripping threshold to de-energize the transformer under incipient fault has also been outlined.

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Measurement of neutral currents in a power transformer and fault detection using wavelet techniques

Cited by 13 publications

References 1 publication

Analysis of winding inter-turn fault in transformer: A review and transformer models

Analysis of winding inter-turn fault in transformer: A review and transformer models

Real Time Fault Location Using the Retardation Method

Online Detection of an Interturn Winding Fault in Single-Phase Distribution Transformers Using a Terminal Measurement-Based Modeling Technique

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