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UHF Partial Discharge Location in PowerTransformers via Solution of the MaxwellEquations in a Computational Environment.
Nobrega, Luiz; Costa, Edson; Serres, Alexandre; Xavier, George; Aquino, Marcus.
Afiliação
  • Nobrega L; Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. luiz.nobrega@dee.ufcg.edu.br.
  • Costa E; Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. edson@dee.ufcg.edu.br.
  • Serres A; Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. alexandreserres@dee.ufcg.edu.br.
  • Xavier G; Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. george.xavier@ee.ufcg.edu.br.
  • Aquino M; Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. marcus.aquino@ee.ufcg.edu.br.
Sensors (Basel) ; 19(15)2019 Aug 05.
Article em En | MEDLINE | ID: mdl-31387324
This paper presents an algorithm for the localisation of partial discharge (PD) sourcesin power transformers based on the electromagnetic waves radiated by a PD pulse. The proposedalgorithm is more accurate than existing methods, since it considers the effects of the reflection,refractions and diffractions undergone by the ultra-high frequency (UHF) signal within the equipmenttank. The proposed method uses computational simulations of the electromagnetic waves generatedby PD, and obtains the time delay of the signal between each point in the 3D space and the UHFsensors. The calculated signals can be compared with the signals measured in the field, so thatthe position of the PD source can be located based on the best correlation between the simulatedpropagation delay and the measured data. The equations used in the proposed method are definedas a 3D optimisation problem, so that the binary particle swarm optimisation algorithm can be used.To test and demonstrate the proposed algorithm, computational simulations were performed. Thesolutions were sufficient to identify not only the occurrence of defects, but also the winding and theregion (top, centre or base) in which the defect occurred. In all cases, an accuracy of greater than15 cm was obtained for the location, in a 180 MVA three-phase transformer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça