Impacts of measurement errors on real-time thermal rating estimation for overhead lines

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Abstract

To exploit additional capacity on legacy transmission assets, network owners have developed a variety of techniques to support real-time thermal rating (RTTR) of overhead lines so as to get the maximum possible capacity within their operating range. Most RTTR techniques are inferred from effective weather conditions (EWCs) that are used to assess the thermal equilibrium of conductors indicated by the measured temperature 𝑻𝒄, thus making RTTR estimates sensitive to measurement errors (MEs). To highlight the impacts that MEs have on RTTRs, this paper describes two EWC-based approaches to RTTR estimation and assesses the accuracy of their resulting estimates under steady state conditions given different levels of 𝑻𝒄 and weather variables. Furthermore, the paper develops a Monte Carlo-based approach to model the propagation of measurement uncertainties through to RTTR estimates. Numerous rating scenarios for a particular instance are generated through combining a Monte Carlo method, where possible MEs are sampled within the sensor specification based limits, with an enhanced EWC-based approach that models transient changes of 𝑻𝒄 in each scenario. The lower RTTR percentiles extracted from the rating samples can not only mitigate the RTTR overestimation due to MEs, but also inform system operators of the risk associated with RTTR decisions.
Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalIEEE Transactions on Power Delivery
DOIs
Publication statusPublished - 8 Sep 2022

Keywords

  • effective weather conditions
  • measurement error
  • overhead line
  • probabilistic estimation
  • real-time thermal rating

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