Estimation Accuracy of the Electric Field in Cable Insulation Based on Space Charge Measurement
Norikazu Fuse,
Shosuke Morita,
Satoru Miyazaki,
Toshihiro Takahashi and
Naohiro Hozumi
Additional contact information
Norikazu Fuse: Grid Innovation Res. Lab., Central Research Institute of Electric Power Industry, Yokosuka 240-0196, Japan
Shosuke Morita: Grid Innovation Res. Lab., Central Research Institute of Electric Power Industry, Yokosuka 240-0196, Japan
Satoru Miyazaki: Grid Innovation Res. Lab., Central Research Institute of Electric Power Industry, Yokosuka 240-0196, Japan
Toshihiro Takahashi: Grid Innovation Res. Lab., Central Research Institute of Electric Power Industry, Yokosuka 240-0196, Japan
Naohiro Hozumi: Dept. Electrical & Electronic Information Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan
Energies, 2022, vol. 15, issue 13, 1-12
Abstract:
Space charge measurement accuracy is crucial when assessing the suitability of cables for high-voltage direct current (DC) systems. This study assembled state-of-the-art analysis technologies, including time-domain deconvolution, to mark electric field estimation accuracy, which the present techniques achieve. The pulse electroacoustic method was applied to a 66 kV-class extruded cable, and waveforms were obtained and analyzed to reproduce the electric field distribution. The DC voltage was set to be sufficiently low so that the analysis results can be compared with Laplace’s equation. The statistical analysis of 81 waveforms under a DC voltage of 30 kV showed that the estimation accuracy was ?0.3% ± 19.9% with a 95.4% confidence interval, even with the deconvolution parameter optimized. The estimated accuracy using the “reference” waveform is applied to waveforms at higher voltages since similar estimation accuracies were confirmed for waveforms obtained under a DC voltage of 45 kV.
Keywords: power cables; space charge measurement; pulsed electroacoustic method; field distribution; estimation accuracy; deconvolution (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/13/4920/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/13/4920/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:13:p:4920-:d:856382
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().