Correction of temperature effects in dielectric response tests in power transformers using artificial intelligence

Author:

Mousavi Seyed Amidedin1

Affiliation:

1. Islamic Azad University of Zanjan

Abstract

Abstract Polarization and Depolarization Current (PDC) and Frequency Domain Spectroscopy (FDS) measurements are common dielectric response tests in time and frequency domain that are widely used to diagnosis insulation status in power transformer companies. Numerous factors affect the PDC and FDS test results, which the most important of them is temperature variation. To accurately interpret the results of the dielectric response, the effect of temperature on the results in time and frequency domains, must be corrected in order to make a proper assessment of the condition of the insulation system. In this paper, by using the correlation between the dielectric response results in time and frequency domain, the temperature effect in the PDC test results is corrected with the help of the temperature correction in FDS results.

Publisher

Research Square Platform LLC

Reference20 articles.

1. Chakravorti S, Dey D, Chatterjee B (2013) ″Recent Trends in the Condition Monitoring of Transformers Theory, Implementation and Analysis. ″ Springer, London

2. Saha TK, Purkait P (2017) ″ Transformer aging; monitoring and estimation techniques ″. John Wiley and Sons, Singapore

3. Artificial neural network based method for temperature correction in FDS measurement of transformer insulation,;Mousavi SA;J Phys D,2020

4. Mousavi SA, Hekmati A, Sedighizadeh M, Bigdeli M, Bazargan A (2020) ″ANN based temperature compensation for variations in polarization and depolarization current measurements in transformer″, vol 20. Thermal Science and Engineering Progress

5. ″ Dielectric response methods for diagnostics of power transformers″;CIGRE Task Force;IEEE Electr Insul Mag,2003

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