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

Hosseini, Michael and Stewart, Brian G. (2023) Propagating uncertainty using IEEE Std C57.104-2019 dissolved gas analysis methodology for transformers. In: The 23rd International Symposium on High Voltage Engineering, 2023-08-28 - 2023-09-01.

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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.

  • Item type:Conference or Workshop Item(Paper)
    ID code:89756
    Dates:
    Date
    Event
    1 September 2023
    Published
    24 June 2023
    Accepted
    Subjects:UNSPECIFIED
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:27 Jun 2024 14:15
    Last modified:09 Jul 2024 00:52
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/89756
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