Machine learning for power transformer SFRA based fault detection

Bjelić, Miloš; Brković, Bogdan; Žarković, Mileta; Miljković, Tatjana

doi:10.1016/j.ijepes.2023.109779

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2024

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Cited by 4 publications

References 18 publications

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Simulation of Radiative Cooling Effect for Outdoor Power Transformer

Liu,

Zhang

et al. 2024

Lecture Notes in Electrical Engineering

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Simulation of Radiative Cooling Effect for Outdoor Power Transformer

Liu,

Zhang

et al. 2024

Lecture Notes in Electrical Engineering

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Power frequency magnetic field interference suppression method for online frequency response analysis of power transformers

Cheng,

Liu,

Sha

et al. 2024

The Journal of Engineering

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Frequency response analysis is widely used for the offline diagnosis of winding deformations in power transformers. To apply this approach to a working transformer, the magnitude of the response current needs to be measured by using Rogowski coil sensors across a load current. The saturation of the power frequency magnetic field in these current sensors must be prevented to ensure accurate measurement of such small response currents. Here, a method is presented to suppress the power frequency magnetic field using a sensing system including a special connection of three‐phase current sensors based on the sum of the three‐phase power frequency load currents of the transformer being close to zero. Each sensor comprises two secondary coils: a measuring coil and an anti‐saturation coil. The anti‐saturation coils are connected in parallel with one another through small inductors to eliminate the power frequency magnetic field in the cores of the sensors. Theoretical analysis is used to derive a solution for this system. The experimental results verify the proposed method as enabling the sensors to function with a transformer carrying a load current of 2333 A.

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