Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930196
P. Pacheco, M. Cuesto, M. Burgos
This paper shows the conclusions of practicing a more accurate sizing for step-up transformers based on real load profile when applied for solar generation, either thermal or photovoltaic. Due to inherent cyclic load for solar generation, with peaks and valleys along the day and months on a year, the transformer rated power can be better adjusted to an average value in such a way that loss of life is closer to unitary during a complete year period of evaluation; in this way, the transformer is not over-dimensioned and can provide the same reliable and robust service during enough amount of years compared to today's traditional approach. Additionally, the increasing trend in industry to incorporate transformer monitoring with digital data analysis, allows to obtain a real and life load profile, providing real time remaining life expectancy and valuable predictability that is proposed to be used as a base to minimize the auxiliaries power consumption, thus minimizing the thermal dynamic effects on the active part and helping to reduce life ageing as well.
{"title":"Sizing Step-up Transformers for Solar Generation based on Load Profiles Predictability","authors":"P. Pacheco, M. Cuesto, M. Burgos","doi":"10.23919/ARWtr.2019.8930196","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930196","url":null,"abstract":"This paper shows the conclusions of practicing a more accurate sizing for step-up transformers based on real load profile when applied for solar generation, either thermal or photovoltaic. Due to inherent cyclic load for solar generation, with peaks and valleys along the day and months on a year, the transformer rated power can be better adjusted to an average value in such a way that loss of life is closer to unitary during a complete year period of evaluation; in this way, the transformer is not over-dimensioned and can provide the same reliable and robust service during enough amount of years compared to today's traditional approach. Additionally, the increasing trend in industry to incorporate transformer monitoring with digital data analysis, allows to obtain a real and life load profile, providing real time remaining life expectancy and valuable predictability that is proposed to be used as a base to minimize the auxiliaries power consumption, thus minimizing the thermal dynamic effects on the active part and helping to reduce life ageing as well.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131600169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930185
J. Hurtado-Jimenez, A. M. Leon-Grande, J. R. Cabello-Garcia, F. R. Lara-Raya
The probability of an arc flash accident in electrical equipment or installations, such as power transformers, is present in all cases where electricity is present. In high voltage systems, the high level of supply required could lead to the release of energy levels high enough to cause serious injury to people around this equipment. For this reason, performing an arc flash analysis improves the safety conditions of workers, since, although in some cases injuries cannot be completely avoided, the severity of the injuries can be greatly reduced, and may even prevent deaths in the workplace. To this end, there are standards and computer tools to help calculate the energy released in the event of such accidents and to adopt appropriate corrective and preventive actions, in order to reduce the extent of possible injuries in the event of an accident. This work reviews the equations and analytical methodology for arc flash analysis, according to the most updated standards, and shows an applied study case of a power transformer located in an electric substation, indicating the most appropriate corrective and preventive actions to reduce the damage of this type of accidents in the transformer control cabinet.
{"title":"Arc Flash Analysis in Control Cabinets of Power Transformers","authors":"J. Hurtado-Jimenez, A. M. Leon-Grande, J. R. Cabello-Garcia, F. R. Lara-Raya","doi":"10.23919/ARWtr.2019.8930185","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930185","url":null,"abstract":"The probability of an arc flash accident in electrical equipment or installations, such as power transformers, is present in all cases where electricity is present. In high voltage systems, the high level of supply required could lead to the release of energy levels high enough to cause serious injury to people around this equipment. For this reason, performing an arc flash analysis improves the safety conditions of workers, since, although in some cases injuries cannot be completely avoided, the severity of the injuries can be greatly reduced, and may even prevent deaths in the workplace. To this end, there are standards and computer tools to help calculate the energy released in the event of such accidents and to adopt appropriate corrective and preventive actions, in order to reduce the extent of possible injuries in the event of an accident. This work reviews the equations and analytical methodology for arc flash analysis, according to the most updated standards, and shows an applied study case of a power transformer located in an electric substation, indicating the most appropriate corrective and preventive actions to reduce the damage of this type of accidents in the transformer control cabinet.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128897572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930194
Miguel Martínez Ronderos, José Antonio Gil Segura, Javier Ibañez Mayayo
The aim of this document is to highlight the high number of transformers used in the wind energy sector. Considering the particularities and requirements of wind energy and its locations, for the correct design of transformers manufactured for this sector it is necessary to take into account aspects related to environmental conditions, footprint, weight, load curve, transients of energization or connection to cables up to 100km in length. As a growing industry, it represents an important market for transformer manufacturers, although all these aspects and others developed in the present document must be taken into account in order to produce a transformer according to the needs of the wind generation industry.
{"title":"Power Transformers for Wind Applications. Requirements and Challenges","authors":"Miguel Martínez Ronderos, José Antonio Gil Segura, Javier Ibañez Mayayo","doi":"10.23919/ARWtr.2019.8930194","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930194","url":null,"abstract":"The aim of this document is to highlight the high number of transformers used in the wind energy sector. Considering the particularities and requirements of wind energy and its locations, for the correct design of transformers manufactured for this sector it is necessary to take into account aspects related to environmental conditions, footprint, weight, load curve, transients of energization or connection to cables up to 100km in length. As a growing industry, it represents an important market for transformer manufacturers, although all these aspects and others developed in the present document must be taken into account in order to produce a transformer according to the needs of the wind generation industry.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128377667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930195
A. Al-Abadi
A thorough investigation of the design parameters influencing the load noise generated by power transformers is performed. The investigation is done through evaluating the calculated noise by using an advanced vibro-acoustic model and benchmarking it against measured sound levels of transformers with different ratings and designs. The design parameters are weighted based on their level of influence on the generated noise and are used to drive a detailed load noise formula (d-LNF). The d-LNF is further developed by weighting the most relevant parameters to drive a simplified LNF. Both formulas have proven their reliability in calculating the load noise and therefore, they have been used in the daily designs to optimize for low noise transformers. However, the advantage of the LNF is that it can be easily exchanged between transformer manufacturers and utilities as it involves the main electrical design data without details about the designs of winding, shields, tank and insulations.
{"title":"Developing an Accurate Load Noise Formula for Power Transformers","authors":"A. Al-Abadi","doi":"10.23919/ARWtr.2019.8930195","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930195","url":null,"abstract":"A thorough investigation of the design parameters influencing the load noise generated by power transformers is performed. The investigation is done through evaluating the calculated noise by using an advanced vibro-acoustic model and benchmarking it against measured sound levels of transformers with different ratings and designs. The design parameters are weighted based on their level of influence on the generated noise and are used to drive a detailed load noise formula (d-LNF). The d-LNF is further developed by weighting the most relevant parameters to drive a simplified LNF. Both formulas have proven their reliability in calculating the load noise and therefore, they have been used in the daily designs to optimize for low noise transformers. However, the advantage of the LNF is that it can be easily exchanged between transformer manufacturers and utilities as it involves the main electrical design data without details about the designs of winding, shields, tank and insulations.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132841107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930193
J. Aizpurua, Unai Garro, E. Muxika, M. Mendicute, I. Gilbert, B. Stewart, S. Mcarthur, B. Lambert
Power transformers are critical assets for the correct and reliable operation of the power grid. However, the use of power transformers in the context of smart grids creates new challenges for efficient lifetime management and maintenance planning. The use of intermittent sources of energy and dynamic loads increases the sources of uncertainty and causes non-linear operation dynamics. In addition, the increased use of probabilistic forecasting models for the estimation of influential parameters such as temperature or load, influences the uncertainty associated with the transformer lifetime estimation. These variable operation mechanisms influence the operation and lifetime planning of power transformers. Accordingly, this paper presents a novel probabilistic health state estimation framework to improve the lifetime management of power transformers operated in smart grids through the integration of probabilistic forecasting models with Monte Carlo based Bayesian filtering methods.
{"title":"Probabilistic Power Transformer Condition Monitoring in Smart Grids","authors":"J. Aizpurua, Unai Garro, E. Muxika, M. Mendicute, I. Gilbert, B. Stewart, S. Mcarthur, B. Lambert","doi":"10.23919/ARWtr.2019.8930193","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930193","url":null,"abstract":"Power transformers are critical assets for the correct and reliable operation of the power grid. However, the use of power transformers in the context of smart grids creates new challenges for efficient lifetime management and maintenance planning. The use of intermittent sources of energy and dynamic loads increases the sources of uncertainty and causes non-linear operation dynamics. In addition, the increased use of probabilistic forecasting models for the estimation of influential parameters such as temperature or load, influences the uncertainty associated with the transformer lifetime estimation. These variable operation mechanisms influence the operation and lifetime planning of power transformers. Accordingly, this paper presents a novel probabilistic health state estimation framework to improve the lifetime management of power transformers operated in smart grids through the integration of probabilistic forecasting models with Monte Carlo based Bayesian filtering methods.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133779201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930177
D. García, D. Cordoba, J. Vasquez
This paper presents an approach for the feasible use of frequency-domain spectroscopy technique, to evaluate transformer factory drying and by this, to determine the most suitable moment to finish the drying process. To enable the use of FDS in transformer factory drying, the reference dielectric response curves of the air-paper insulation system of the transformers under drying, are necessary. Those reference curves were obtained in two ways: First scale models were used to emulate the insulation system between windings, the second way consisted in the simulation of the inter windings insulate through a finite element model. The feasibility of frequency-domain spectroscopy technique in transformer factory drying, as well as the methods to obtain the dielectric response reference curves, were validated through several experiments, and by the drying of five transformers, all carried out in the facilities of Transformadores de Colombia.
本文提出了一种可行的利用频域光谱技术来评价变压器工厂干燥的方法，并以此来确定完成干燥过程的最合适时机。为了使FDS在变压器工厂干燥中使用，需要有干燥时变压器空气-纸绝缘系统的参考介电响应曲线。通过两种方法获得参考曲线:一是采用比例模型模拟绕组间绝缘系统，二是采用有限元模型模拟绕组间绝缘系统。频域光谱技术在变压器工厂干燥中的可行性，以及获得介质响应参考曲线的方法，通过多次实验验证，并通过在Transformadores de Colombia工厂进行的5台变压器的干燥进行验证。
{"title":"Using the FDS Technique in Transformer Factory Drying","authors":"D. García, D. Cordoba, J. Vasquez","doi":"10.23919/ARWtr.2019.8930177","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930177","url":null,"abstract":"This paper presents an approach for the feasible use of frequency-domain spectroscopy technique, to evaluate transformer factory drying and by this, to determine the most suitable moment to finish the drying process. To enable the use of FDS in transformer factory drying, the reference dielectric response curves of the air-paper insulation system of the transformers under drying, are necessary. Those reference curves were obtained in two ways: First scale models were used to emulate the insulation system between windings, the second way consisted in the simulation of the inter windings insulate through a finite element model. The feasibility of frequency-domain spectroscopy technique in transformer factory drying, as well as the methods to obtain the dielectric response reference curves, were validated through several experiments, and by the drying of five transformers, all carried out in the facilities of Transformadores de Colombia.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115083965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930175
J. McBride, X. M. Lopez-Fernandez, C. Álvarez-Mariño
This paper presents a unique approach to monitoring the dielectric stress severity of field measured transients on the internal insulation of a power transformer. The proposed methodology integrates the recent advances in high frequency transformer modeling and wide bandwidth field measurements to produce a visualization of the dielectric stress severity within a power transformer. It consists in implementing the time domain severity factor (TDSF) concept into the transmission equipment condition monitoring (TECAM) system. An initial field trial of the proposed strategy and some of the firs resulting analysis from the field measured data are presented.
{"title":"Integration of TDSF Analysis into TECAM Transformer On Line Monitoring System","authors":"J. McBride, X. M. Lopez-Fernandez, C. Álvarez-Mariño","doi":"10.23919/ARWtr.2019.8930175","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930175","url":null,"abstract":"This paper presents a unique approach to monitoring the dielectric stress severity of field measured transients on the internal insulation of a power transformer. The proposed methodology integrates the recent advances in high frequency transformer modeling and wide bandwidth field measurements to produce a visualization of the dielectric stress severity within a power transformer. It consists in implementing the time domain severity factor (TDSF) concept into the transmission equipment condition monitoring (TECAM) system. An initial field trial of the proposed strategy and some of the firs resulting analysis from the field measured data are presented.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127247268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930179
M. Villaverde, D. U. Cuadros
In some control analyses of the power transformers, it is possible to find signs of contamination of the mineral oil with other insulating liquids, such as synthetic esters, natural esters or silicones due to problems in oil filling or maintenance procedures. Each of these liquids has different properties and applications, and their behaviour in service may be different from that of mineral oil. This paper shows the study of the basic physicochemical properties, such as the viscosity, oxidation, the acidity, the flash point and the dielectric dissipation factor (tan δ) of several concentration levels of a mixture of mineral oil (MO) and synthetic ester (SE), as low as 2% of SE/MO, and its correlation with the FTIR and UV-VIS signals. The results are applied to estimate the variation of the properties of several power transformers in service and improve the diagnosis of their condition assessment of the mineral oil.
{"title":"Evaluation of Physical-Chemical Characteristics of Mineral Oils Mixed with Synthetic Esters","authors":"M. Villaverde, D. U. Cuadros","doi":"10.23919/ARWtr.2019.8930179","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930179","url":null,"abstract":"In some control analyses of the power transformers, it is possible to find signs of contamination of the mineral oil with other insulating liquids, such as synthetic esters, natural esters or silicones due to problems in oil filling or maintenance procedures. Each of these liquids has different properties and applications, and their behaviour in service may be different from that of mineral oil. This paper shows the study of the basic physicochemical properties, such as the viscosity, oxidation, the acidity, the flash point and the dielectric dissipation factor (tan δ) of several concentration levels of a mixture of mineral oil (MO) and synthetic ester (SE), as low as 2% of SE/MO, and its correlation with the FTIR and UV-VIS signals. The results are applied to estimate the variation of the properties of several power transformers in service and improve the diagnosis of their condition assessment of the mineral oil.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132122803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930180
A. Gamil, A. Al-Abadi, M. Schiessl, F. Schatzl, E. Schlücker
Thermal performance of oil-immersed power transformer requires comprehensive solutions for the complex conjugate thermal-hydraulic problem which determines the thermal behavior of the oil and winding set. However, development of a thermal model without consideration of test procedures and limitations can led to inaccurate results during factory acceptance test (FAT). In the current study, we present improvements in modelling and testing based on an effective data exchange between both. Accurate loss calculation in transformer components and better investigation of oil behavior as well as development of more reliable rules to analyze heat-run results with consideration of new effective factors lead to a more accurate calculation of the thermal characteristics. This will increase the level of certainty in meeting the specified temperature rises during FAT, and therefore, accurate prediction of the transformer lifetime. Furthermore, minimum deviation between calculated and measured temperatures will allow optimization of the cooling system resulting in a more economical transformer design.
{"title":"Improvements on Thermal Performance of Power Transformers: Modelling and Testing","authors":"A. Gamil, A. Al-Abadi, M. Schiessl, F. Schatzl, E. Schlücker","doi":"10.23919/ARWtr.2019.8930180","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930180","url":null,"abstract":"Thermal performance of oil-immersed power transformer requires comprehensive solutions for the complex conjugate thermal-hydraulic problem which determines the thermal behavior of the oil and winding set. However, development of a thermal model without consideration of test procedures and limitations can led to inaccurate results during factory acceptance test (FAT). In the current study, we present improvements in modelling and testing based on an effective data exchange between both. Accurate loss calculation in transformer components and better investigation of oil behavior as well as development of more reliable rules to analyze heat-run results with consideration of new effective factors lead to a more accurate calculation of the thermal characteristics. This will increase the level of certainty in meeting the specified temperature rises during FAT, and therefore, accurate prediction of the transformer lifetime. Furthermore, minimum deviation between calculated and measured temperatures will allow optimization of the cooling system resulting in a more economical transformer design.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114008398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.23919/ARWtr.2019.8930184
S. Bustamante, M. Mañana, A. Arroyo, R. Martínez, A. González, J. Rodríguez
The predictive maintenance in power transformers aims to manage the risk of the asset. This is achieved through the calculation and control of the health index of the power transformers. A very important parameter for calculating the health index in power transformers is the dissolved gas analysis (DGA). The current trend is online DGA monitoring, in addition to continuing to perform analyzes in the laboratory. In spite of the fact the DGA is well known, there is a lack of real data outside the guides. This case study uses a method for calculating the limits of the gas levels and of the annual increase in the concentration of combustible gases, in order to establish the optimum sampling interval and the alarm limits of the continuous monitoring equipment for each power transformer.
{"title":"Case Study - Calculation of DGA Limit Values and Sampling Interval in Power Transformers","authors":"S. Bustamante, M. Mañana, A. Arroyo, R. Martínez, A. González, J. Rodríguez","doi":"10.23919/ARWtr.2019.8930184","DOIUrl":"https://doi.org/10.23919/ARWtr.2019.8930184","url":null,"abstract":"The predictive maintenance in power transformers aims to manage the risk of the asset. This is achieved through the calculation and control of the health index of the power transformers. A very important parameter for calculating the health index in power transformers is the dissolved gas analysis (DGA). The current trend is online DGA monitoring, in addition to continuing to perform analyzes in the laboratory. In spite of the fact the DGA is well known, there is a lack of real data outside the guides. This case study uses a method for calculating the limits of the gas levels and of the annual increase in the concentration of combustible gases, in order to establish the optimum sampling interval and the alarm limits of the continuous monitoring equipment for each power transformer.","PeriodicalId":117389,"journal":{"name":"2019 6th International Advanced Research Workshop on Transformers (ARWtr)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122288404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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