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Nobrega L, Costa E, Serres A, et al. UHF Partial Discharge Location in PowerTransformers via Solution of the MaxwellEquations in a Computational Environment. Sensors (Basel). 2019;19(15)doi: 10.3390/s19153435.
Nobrega, L., Costa, E., Serres, A., Xavier, G., & Aquino, M. (2019). UHF Partial Discharge Location in PowerTransformers via Solution of the MaxwellEquations in a Computational Environment. Sensors (Basel, Switzerland), 19(15), . https://doi.org/10.3390/s19153435
Nobrega, Luiz, et al. "UHF Partial Discharge Location in PowerTransformers via Solution of the MaxwellEquations in a Computational Environment." Sensors (Basel, Switzerland) vol. 19,15 (2019). doi: https://doi.org/10.3390/s19153435
Nobrega L, Costa E, Serres A, Xavier G, Aquino M. UHF Partial Discharge Location in PowerTransformers via Solution of the MaxwellEquations in a Computational Environment. Sensors (Basel). 2019 Aug 05;19(15). doi: 10.3390/s19153435. PMID: 31387324; PMCID: PMC6696034.
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Sensors (Basel). 2019 Aug 05;19(15). doi: 10.3390/s19153435.

UHF Partial Discharge Location in PowerTransformers via Solution of the MaxwellEquations in a Computational Environment.

Sensors (Basel, Switzerland)

Luiz Nobrega, Edson Costa, Alexandre Serres, George Xavier, Marcus Aquino

Affiliations

  1. Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. [email protected].
  2. Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. [email protected].
  3. Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. [email protected].
  4. Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. [email protected].
  5. Department of Electrical Engineering, Universidade Federal de Campina Grande, Aprigio Veloso 882,Universitário, Campina Grande 58429-900, Brazil. [email protected].

PMID: 31387324 PMCID: PMC6696034 DOI: 10.3390/s19153435

Abstract

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.

Keywords: UHF; binary particle swarm optimisation; localisation; monitoring; partial discharge; power transformer; sensor

References

  1. Sensors (Basel). 2018 Dec 03;18(12):null - PubMed
  2. Sensors (Basel). 2019 Feb 05;19(3):null - PubMed

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