Simulation and analysis of underground power cables faults

Fonseca_Badillo, M.; Negrete_Navarrete, L.E.; González-Parada, Adrián; Castañeda-Miranda, Alejandro

doi:10.1016/j.proeng.2012.04.164

Cited by 6 publications

(2 citation statements)

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“…Cable location studies rely mostly on simulation models, methods and tools. In particular, this concerns the underground power cables [16]. PSCAD™EMTP [17,18] and PROTEUS version 8.1 [19] are the examples of the simulation tools used in cable diagnosis.…”

Section: Review Of Cable Fault Modeling Researchmentioning

confidence: 99%

Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth

2021

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Diagnostics of power and energy systems is obviously an important matter. In this paper we present a contribution of using new methodology for the purpose of signal type recognition (for example, faulty/healthy or different types of faults). Our approach uses Bayesian functional data analysis with data depths distributions to detect differing signals. We present our approach for discrimination of pole-to-pole and pole-to-ground short circuits in VSC DC cables. We provide a detailed case study with Monte Carlo analysis. Our results show potential for applications in diagnostics under uncertainty.

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Section: Review Of Cable Fault Modeling Researchmentioning

confidence: 99%

Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth

2021

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“…In the past few years, AE has been mostly used for testing the underground power cables [1,2]. For underground cable applications, detection of partial discharge is used for preventive / predictive maintenance under medium and high voltage [3].…”

Section: Introductionmentioning

confidence: 99%