A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator†

Predictive maintenance strategies in power transformers aim to assess the risk through the calculation and monitoring of the health index of the power transformers. The parameter most used in predictive maintenance and to calculate the health index of power transformers is the dissolved gas analysis...

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Authors: Bustamante Sánchez, Sergio|||0000-0001-7691-6187; Mañana Canteli, Mario|||0000-0001-6886-8170; Arroyo Gutiérrez, Alberto|||0000-0002-6045-2610; Martínez Torre, Raquel|||0000-0002-0278-2785; Laso Pérez, Alberto|||0000-0003-3751-7305
Format: Article
Publication date:2020
Country:España
Institution:Universidad de Cantabria (UC)
Repository:UCrea Repositorio Abierto de la Universidad de Cantabria
Language:English
OAI Identifier:oai:repositorio.unican.es:10902/20536
Online Access:http://hdl.handle.net/10902/20536
Access Level:Open access
Keyword:Asset management
Dissolved gas analysis
Maintenance management
Oil insulation
Power transformers
Predictive maintenance
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author Bustamante Sánchez, Sergio|||0000-0001-7691-6187
author2 Mañana Canteli, Mario|||0000-0001-6886-8170
Arroyo Gutiérrez, Alberto|||0000-0002-6045-2610
Martínez Torre, Raquel|||0000-0002-0278-2785
Laso Pérez, Alberto|||0000-0003-3751-7305
author2_role author
author
author
author
author_browse Arroyo Gutiérrez, Alberto|||0000-0002-6045-2610
Bustamante Sánchez, Sergio|||0000-0001-7691-6187
Laso Pérez, Alberto|||0000-0003-3751-7305
Martínez Torre, Raquel|||0000-0002-0278-2785
Mañana Canteli, Mario|||0000-0001-6886-8170
author_facet Bustamante Sánchez, Sergio|||0000-0001-7691-6187
Mañana Canteli, Mario|||0000-0001-6886-8170
Arroyo Gutiérrez, Alberto|||0000-0002-6045-2610
Martínez Torre, Raquel|||0000-0002-0278-2785
Laso Pérez, Alberto|||0000-0003-3751-7305
author_role author
collection UCrea Repositorio Abierto de la Universidad de Cantabria
description Predictive maintenance strategies in power transformers aim to assess the risk through the calculation and monitoring of the health index of the power transformers. The parameter most used in predictive maintenance and to calculate the health index of power transformers is the dissolved gas analysis (DGA). The current tendency is the use of online DGA monitoring equipment while continuing to perform analyses in the laboratory. Although the DGA is well known, there is a lack of published experimental data beyond that in the guides. This study used the nearest-rank method for obtaining the typical gas concentration values and the typical rates of gas increase from a transformer population to establish the optimal sampling interval and alarm thresholds of the continuous monitoring devices for each power transformer. The percentiles calculated by the nearest-rank method were within the ranges of the percentiles obtained using the R software, so this simple method was validated for this study. The results obtained show that the calculated concentration limits are within the range of or very close to those proposed in IEEE C57.104-2019 and IEC 60599:2015. The sampling intervals calculated for each transformer were not correct in all cases since the trend of the historical DGA samples modified the severity of the calculated intervals.
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instname_str Universidad de Cantabria (UC)
language eng
network_acronym_str ES
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oai_identifier_str oai:repositorio.unican.es:10902/20536
publishDate 2020
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reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
spelling A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator† Bustamante Sánchez, Sergio|||0000-0001-7691-6187 Mañana Canteli, Mario|||0000-0001-6886-8170 Arroyo Gutiérrez, Alberto|||0000-0002-6045-2610 Martínez Torre, Raquel|||0000-0002-0278-2785 Laso Pérez, Alberto|||0000-0003-3751-7305 Asset management Dissolved gas analysis Maintenance management Oil insulation Power transformers Predictive maintenance Predictive maintenance strategies in power transformers aim to assess the risk through the calculation and monitoring of the health index of the power transformers. The parameter most used in predictive maintenance and to calculate the health index of power transformers is the dissolved gas analysis (DGA). The current tendency is the use of online DGA monitoring equipment while continuing to perform analyses in the laboratory. Although the DGA is well known, there is a lack of published experimental data beyond that in the guides. This study used the nearest-rank method for obtaining the typical gas concentration values and the typical rates of gas increase from a transformer population to establish the optimal sampling interval and alarm thresholds of the continuous monitoring devices for each power transformer. The percentiles calculated by the nearest-rank method were within the ranges of the percentiles obtained using the R software, so this simple method was validated for this study. The results obtained show that the calculated concentration limits are within the range of or very close to those proposed in IEEE C57.104-2019 and IEC 60599:2015. The sampling intervals calculated for each transformer were not correct in all cases since the trend of the historical DGA samples modified the severity of the calculated intervals. This work was partially financed by the EU Regional Development Fund (FEDER) and the Spanish Government under RETOS-COLABORACIÓN RTC-2017-6782-3 and by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 864579 (FLEXIGRID). MDPI http://hdl.handle.net/10902/20536
spellingShingle A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator†
Bustamante Sánchez, Sergio|||0000-0001-7691-6187
Asset management
Dissolved gas analysis
Maintenance management
Oil insulation
Power transformers
Predictive maintenance
title A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator†
title_full A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator†
title_fullStr A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator†
title_full_unstemmed A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator†
title_short A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator†
title_sort A methodology for the calculation of typical gas concentration values and sampling intervals in the power transformers of a distribution system operator†
topic Asset management
Dissolved gas analysis
Maintenance management
Oil insulation
Power transformers
Predictive maintenance
topic_facet Asset management
Dissolved gas analysis
Maintenance management
Oil insulation
Power transformers
Predictive maintenance
url http://hdl.handle.net/10902/20536