Ultra-High Frequency Partial Discharge measurement in power transformers has gained attention because of its advantages over the conventional method. CIGRÉ recommends providing dielectric windows on newly manufactured transformers for installation of sensors; however, there is no proposal regarding the positioning of these windows. This contribution presents an experimental approach to selecting the best sensor positions for partial discharge detection and localization based on signal attenuation. The experiment was performed on a 300 MVA, 420 kV grid coupling transformer by installing 17 monopole antennas on the transformer tank and evaluating the attenuation of the signals generated by an artificial source across multiple propagation paths and distances. The analysis was done in both time and frequency-domain and on comparing, it was found that the same conclusions could be obtained from both approaches. The performance of the receiving sensors was analyzed based on the attenuation of signal strength, and certain sensor positions are recommended based on this metric. Additionally, a computational model of the power transformer is built in CST Microwave Studio and validated based on the available measurement data. This model can be used to evaluate the time difference of arrival and propagation path, which allows for the selection of best sensor positions for partial discharge detection and localization in an early stage of the transformer design process.
%0 Generic
%1 beura2019attenuation
%A Beura, Chandra Prakash
%A Beltle, Michael
%A Tenbohlen, Stefan
%D 2019
%K Monitoring PD Transformer UHF myown
%T Attenuation of UHF Signals in a 420 kV Power Transformer based on Experiments and Simulation
%X Ultra-High Frequency Partial Discharge measurement in power transformers has gained attention because of its advantages over the conventional method. CIGRÉ recommends providing dielectric windows on newly manufactured transformers for installation of sensors; however, there is no proposal regarding the positioning of these windows. This contribution presents an experimental approach to selecting the best sensor positions for partial discharge detection and localization based on signal attenuation. The experiment was performed on a 300 MVA, 420 kV grid coupling transformer by installing 17 monopole antennas on the transformer tank and evaluating the attenuation of the signals generated by an artificial source across multiple propagation paths and distances. The analysis was done in both time and frequency-domain and on comparing, it was found that the same conclusions could be obtained from both approaches. The performance of the receiving sensors was analyzed based on the attenuation of signal strength, and certain sensor positions are recommended based on this metric. Additionally, a computational model of the power transformer is built in CST Microwave Studio and validated based on the available measurement data. This model can be used to evaluate the time difference of arrival and propagation path, which allows for the selection of best sensor positions for partial discharge detection and localization in an early stage of the transformer design process.
@conference{beura2019attenuation,
abstract = {Ultra-High Frequency Partial Discharge measurement in power transformers has gained attention because of its advantages over the conventional method. CIGRÉ recommends providing dielectric windows on newly manufactured transformers for installation of sensors; however, there is no proposal regarding the positioning of these windows. This contribution presents an experimental approach to selecting the best sensor positions for partial discharge detection and localization based on signal attenuation. The experiment was performed on a 300 MVA, 420 kV grid coupling transformer by installing 17 monopole antennas on the transformer tank and evaluating the attenuation of the signals generated by an artificial source across multiple propagation paths and distances. The analysis was done in both time and frequency-domain and on comparing, it was found that the same conclusions could be obtained from both approaches. The performance of the receiving sensors was analyzed based on the attenuation of signal strength, and certain sensor positions are recommended based on this metric. Additionally, a computational model of the power transformer is built in CST Microwave Studio and validated based on the available measurement data. This model can be used to evaluate the time difference of arrival and propagation path, which allows for the selection of best sensor positions for partial discharge detection and localization in an early stage of the transformer design process.},
added-at = {2019-09-03T15:45:19.000+0200},
author = {Beura, Chandra Prakash and Beltle, Michael and Tenbohlen, Stefan},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2415d5f85a30823b43606cf71f5b00773/cpbeura},
eventtitle = {International Symposium on High Voltage Engineering, 2019},
interhash = {6f62be2415483546c58425042f79f123},
intrahash = {415d5f85a30823b43606cf71f5b00773},
keywords = {Monitoring PD Transformer UHF myown},
timestamp = {2019-09-03T14:31:19.000+0200},
title = {Attenuation of UHF Signals in a 420 kV Power Transformer based on Experiments and Simulation },
venue = {Budapest, Hungary},
year = 2019
}