An application of global sensitivity analysis in evaluation of transmission line fault-locating algorithms

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1 Citation (Scopus)


Computation of distance to fault on an electrical transmission line is affected by many sources of uncertainty, including parameter setting errors, measurement errors, as well as absence of information and incomplete modelling of a system under fault condition. In this paper we propose an application of the variance-based global sensitivity measures for evaluation of fault location algorithms. The main goal of the evaluation is to identify factors and their interactions that contribute to the fault locator output variability. The sensitivity measures are calculated using the sparse grid integration approach that requires smaller number of samples compared to quasi-Monte Carlo integration. In practice, such analysis can help in: selection of the optimal fault location algorithm (device) for a specific application, calibration process and building confidence in a fault location result. The paper concludes with application examples which demonstrate use of the proposed methodology in testing and comparing some commonly used fault location algorithms.

Original languageEnglish
Pages (from-to)7780-7781
Number of pages2
JournalProcedia - Social and Behavioral Sciences
Issue number6
Publication statusPublished - 2010
Externally publishedYes
Event6th International Conference on Sensitivity Analysis of Model Output, SAMO 2010 - Milan, Italy
Duration: 19 Jul 201022 Jul 2010


  • electrical transmission line
  • fault location
  • quasi-Monte Carlo integration
  • sparse grid integration
  • uncertainty and sensitivity analysis


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