Reprint

Power Transformer Diagnostics, Monitoring and Design Features

Edited by
December 2018
254 pages
  • ISBN978-3-03897-441-3 (Paperback)
  • ISBN978-3-03897-442-0 (PDF)

This is a Reprint of the Special Issue Power Transformer Diagnostics, Monitoring and Design Features that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

Power transformers are key components in electric power distribution and transmission systems, and it is essential that they function properly for many years. With increasing age, there are potential risks of extremely high monetary losses due to unexpected failures and outages. A simple solution would be to replace all aging and risky transformers at once with new ones. Such an approach is obviously not a fiscally realistic solution. The main objectives are to extend their service life and optimize their performance through increased availability. For these reasons, in the past decades transformer life management has gained an ever-increasing interest. The greatest challenges are related to the need for methods to assess their condition and life expectancy along with the improvement of transformers’ efficiency by noble designs and/or the application of new materials. This book covers some theoretical and practical developments with special emphasis on R&D trends in transformer diagnostics and monitoring. Graduate-level students and academics as well as scientists and engineers involved in power equipment design, diagnostics, and monitoring will benefit from this book.

Format
  • Paperback
License and Copyright
© 2019 by the authors; CC BY-NC-ND license
Keywords
oil-impregnated paper; initial moisture content; thermal aging; frequency domain dielectric spectroscopy (FDS); degree of polymerization (DP); dielectric dissipation factor (tan δ); current measurement; losses; power transformers; reliability estimation; transformer windings; space charge; insulation oil; insulation paper; pulsed electroacoustic technique (PEA); temperature; moisture content; simulation; acidity; ageing; colour; dielectric dissipation factor (DDF); hydrolysis; natural ester (NE); mineral oil; oxidation; viscosity; vegetable insulating oil; electrical fault; thermal fault; dissolved gas analysis (DGA); fault diagnosis; gas formation mechanism; power transformers; insulating oil/paper; diagnostics; color/visual examination; particle count; inhibitor content; moisture; DGA; acidity; interfacial tension; viscosity; DP; furan; HPLC; gas chromatography-mass spectrometry coupling; FTIR spectroscopy; UV/visible spectroscopy; dissolved decay products; turbidity; methanol; free radicals; ultra-high-frequency (UHF); partial discharge (PD); online monitoring; intelligent sensor; level scanning method; field programmable gate array (FPGA); high-speed voltage comparator; streamer propagation; mineral oil; synthetic ester; natural ester; lightning impulse; breakdown; power transformers; diagnostic techniques; insulation condition; transformer aging; partial discharge (PD); return voltage (RV); dielectric response; dielectric dissipation factor (DDF); dielectric response analysis; mechanical or electrical integrity of the core and windings; power transformer; multi-attribute decision-making (MADM); game theory; fuzzy analytic hierarchy process (AHP); D numbers; Raman spectroscopy; power transformers; aging stage; principal component analysis; clustering analysis; degree of polymerization; support vector machine; partial discharge (PD); online monitoring; power transformer; oil-paper insulation; water migration; n/a