PARAMETRIC IDENTIFICATION OF DIAGNOSTIC PARAMETERS MODELS IN POWER TRANSFORMERS DIAGNOSTIC SYSTEMS

Authors

  • Ivan Vasylovych Prytyskach Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського», Ukraine https://orcid.org/0000-0002-1892-0054

DOI:

https://doi.org/10.20535/1813-5420.2.2016.72627

Keywords:

power transformer, diagnostic parameter, oil temperature in the upper layers, the moisture content of oil, parametric identification

Abstract

Mathematical models of diagnostic parameters such as oil temperature and humidity of oil are developed in order to improve diagnosis of power transformers. An approach for parametric identification of thermal model and moisture model is proposed on the basis of particles swarm optimization method. Corresponding algorithms and software are developed. Testing of proposed mathematical models carried out by analyzing the results obtained after processing the experimental data obtained at the operating power transformer.

References

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Published

2016-06-26

Issue

Section

MONITORING, DIAGNOSTICS AND MANAGEMENT BY ENERGY PROCESSES AND EQUIPMENT