Prognostics & health management methods & tools for transformer condition monitoring in smart grids

Jose Ignacio Aizpurua, Brian G. Stewart, Stephen D. J. McArthur, Unai Garro, Eñaut Muxika, Mikel Mendicute, V. M. Catterson, Ian P. Gilbert, Luis del Rio

Research output: Contribution to conferencePaper

9 Downloads (Pure)

Abstract

Power transformers are critical assets for the correct and reliable operation of the power grid. However, the use of power transformers in the context of smart grids creates new challenges for efficient lifetime management and maintenance planning. The use of intermittent sources of energy and dynamic loads increases the sources of uncertainty and causes non-linear operation dynamics. In addition, the increased use of probabilistic forecasting models for the estimation of influential parameters such as temperature or load, influences the uncertainty associated with the transformer lifetime estimation. These variable operation mechanisms influence the operation and lifetime planning of power transformers. Accordingly, this paper presents a novel probabilistic health state estimation framework to improve the lifetime management of power transformers operated in smart grids through the integration of probabilistic forecasting models with Monte Carlo based Bayesian filtering methods.
Original languageEnglish
Number of pages12
Publication statusPublished - 7 Oct 2019
EventIEEE 6th International Advanced Research Workshop on Transformers (ARWtr2019) - Cordoba, Spain
Duration: 7 Oct 20199 Oct 2019
http://arwtr2019.webs.uvigo.es/

Conference

ConferenceIEEE 6th International Advanced Research Workshop on Transformers (ARWtr2019)
Abbreviated titleARWtr 2019
CountrySpain
CityCordoba
Period7/10/199/10/19
Internet address

    Fingerprint

Keywords

  • condition monitoring
  • probabilistic forecasting
  • transformer
  • prognostics
  • diagnostics

Cite this

Aizpurua, J. I., Stewart, B. G., McArthur, S. D. J., Garro, U., Muxika, E., Mendicute, M., ... del Rio, L. (2019). Prognostics & health management methods & tools for transformer condition monitoring in smart grids. Paper presented at IEEE 6th International Advanced Research Workshop on Transformers (ARWtr2019), Cordoba, Spain.