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A condition monitoring and fault detection in the windings of power transformer using impulse frequency response analysis

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Abstract

The power transformer is one of the most important pieces of equipment and plays a vital role in the power system. Failure of the transformer may cause an outage of the power supply, which may affect the utility. The main reasons for the transformer’s failure include insulation degradation and/or deformation of its windings which occurs due to the transient phenomenon and overloading conditions, and it leads to the turn-to-turn fault (TTF) in windings of the transformer. This TTF in turn may lead to a catastrophic fault in the windings of the transformer. Frequency response analysis (FRA), commonly, used an offline method to detect these faults, however, leads to an outage of power supply. The main aim of this paper is to diagnosis the transformer windings and detect the early faults if any. In this paper, two methods are simulated and discussed, namely impulse frequency response analysis (IFRA) and Lightning impulse analysis (LIA). These methods are capable of diagnosis winding deformation and short circuit faults on live transformers. An injecting of the impulse signal into the electrical model of a high voltage power transformer winding through the bushing capacitive coupling circuit are studied. The obtained simulation results are observed by comparing the obtained frequency response for a healthy and faulty condition for both online and offline transformers.

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Abbreviations

TTF:

Turn-to-turn fault

HV:

High voltage

FRA:

Frequency response analysis

SSA:

Synthetic spectral analysis

IFRA:

Impulse frequency response analysis

CCM:

Cut-concatenation method

LIA:

Lightning impulse analysis

SFRA:

Sweep frequency response analysis

TLDM:

Transmission line diagnostics methods

NICS:

Non-invasive capacitive sensor

CC:

Capacitive coupling

LV:

Low voltage

V:

Voltage

ϕ:

Potential distribution

\({W}_{e}\) :

Field energy storage

M:

Mutual Inductance

C:

Capacitor

\(\uprho \) :

Resistivity

εr :

Relative dielectric

r :

Radius of bushing layer

T :

Trough

P :

Peak

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Acknowledgements

The authors are grateful to their respective organizations for providing research opportunities and providing necessary resources towards completion of this paper.

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The author(s) received no specific funding for this work by any funding agency. This is the authors own research work.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, SR University, Warangal, India

    Ritesh Kumar, Adavelli Vaijayanthi, Ram Deshmukh, B. Vedik & Chandan Kumar Shiva

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  1. Ritesh Kumar
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  2. Adavelli Vaijayanthi
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  3. Ram Deshmukh
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  4. B. Vedik
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  5. Chandan Kumar Shiva
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Correspondence to Chandan Kumar Shiva.

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Kumar, R., Vaijayanthi, A., Deshmukh, R. et al. A condition monitoring and fault detection in the windings of power transformer using impulse frequency response analysis. Int J Syst Assur Eng Manag 13, 2062–2074 (2022). https://doi.org/10.1007/s13198-022-01619-z

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