Propagating uncertainty using IEEE Std C57.104-2019 dissolved gas analysis methodology for transformers

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Abstract

Dissolved Gas Analysis is a well-established tool for transformer health monitoring with published Standards to help with its interpretation. However, even though it is known that there is measurement uncertainty regarding the true value of sampled gas, there is less available guidance regarding the practical implications. This paper proposes a method for propagating the measurement uncertainties through the methodology presented in the IEEE Std C57.104-2019 to provide the degree of support for its potential outputs. This is done relying on the simplifying assumption that the measurement uncertainty can be expressed as a symmetric triangular distribution for a given gas sample, and that gas samples are independent. The joint probability function is derived in general terms analytically and then a stratified sampling approach is proposed to numerically solve the function. In addition, a modification is made to allow for a more constrained sampling space by deriving and using a simplifying marginal probability without impacting accuracy. These are presented via a use of a case study to demonstrate the efficacy of the proposed approaches.
Original languageEnglish
Pages1-6
Number of pages6
Publication statusPublished - 1 Sept 2023
EventThe 23rd International Symposium on High Voltage Engineering - Glasgow, United Kingdom
Duration: 28 Aug 20231 Sept 2023
https://ish2023.org/

Conference

ConferenceThe 23rd International Symposium on High Voltage Engineering
Abbreviated titleISH2023
Country/TerritoryUnited Kingdom
CityGlasgow
Period28/08/231/09/23
Internet address

Keywords

  • DGA
  • Transformers

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