{"title":"ARWtr 2022 Author Index","authors":"","doi":"10.23919/arwtr54586.2022.9959919","DOIUrl":"https://doi.org/10.23919/arwtr54586.2022.9959919","url":null,"abstract":"","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121353326","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}
{"title":"An update on the use of bio-based and sustainable liquids","authors":"C. Wolmarans, Rene Abrahams","doi":"10.23919/ARWtr54586.2022.9959891","DOIUrl":"https://doi.org/10.23919/ARWtr54586.2022.9959891","url":null,"abstract":"The number of different insulating liquid types has increased in recent years and engineers must identify the trade-offs in utilizing different insulating liquids. Traditional naphthenic mineral insulating oils offer their long track record and well characterized electrical behavior, but they are not readily biodegradable. When fire safety aspects are key in the application; natural and synthetic esters are favored, but both require dielectric adaptation to transformer designs in the majority of cases. Both ester types are readily biodegradable but synthetic esters have a non-bio-based component whereas natural esters have lower oxidation stability. Bio-based hydrocarbon liquids do not have the high fire point of esters, but they are biodegradable, fully bio-based and have typically very low viscosities (providing an advantage in heat transfer). In other respects, they are fairly similar to classical mineral insulating oils. In this paper, the bio-based hydrocarbon’s properties are summarized and a case study, particularly focused on potential thermal performance of a transformer are presented.","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128659579","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}
Ibai Ramirez, J. Aizpurua, Iker Lasa, L. del Rio, Álvaro Ortiz
{"title":"Towards an improved feature-selection approach for oil-immersed transformer top-oil temperature calculation","authors":"Ibai Ramirez, J. Aizpurua, Iker Lasa, L. del Rio, Álvaro Ortiz","doi":"10.23919/ARWtr54586.2022.9959935","DOIUrl":"https://doi.org/10.23919/ARWtr54586.2022.9959935","url":null,"abstract":"Power transformers are necessary components for the reliable operation of the power grid. However, the increasing use of renewable energy technology with highly dynamic power generation has created new scenarios, which affect the lifetime of such devices. There exist standards that calculate the top-oil temperature, hottest-spot temperature and aging factor of transformers based on empirical models, such as IEC 600076-7. However, the accuracy of these models may be limited due to their steady-state nature. Although these formulations have been improved with machine-learning techniques through adaptation of experimental thermal equations to specific contexts by means of ad-hoc modelling, the systematic and heuristic analysis of the influence of different environmental and meteorological variables has not been addressed. In this context, this paper presents a novel systematic parameter-selection process to improve transformer top-oil temperature estimation, reducing the prediction error by half, as confirmed with the results. The proposed approach has the potential to deliver better health management of transformers through an intelligent feature selection process.","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127024614","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}
{"title":"On Thermal Performance Analysis of Oil-Immersed Power Transformers: Winding Cooling Curve","authors":"A. Gamil, E. Schlücker","doi":"10.23919/ARWtr54586.2022.9959922","DOIUrl":"https://doi.org/10.23919/ARWtr54586.2022.9959922","url":null,"abstract":"IEC 60076-2 is one of the standards providing comprehensive information as guidance for evaluating the thermal performance by measuring the top and bottom oil temperature rises and winding resistance and deriving the rest of the required temperature rises using simple calculations. The standard suggests, however, different mathematical formulae to analyse the winding cooling curve to be able to evaluate the winding average temperature rise by extrapolation. Each of the winding cooling curve formulae has a physical interpretation which holds certain information about the winding and oil thermal properties resulting from the heat run test. The current study presents a close investigation of these mathematical formulae as a source of information for power transformer thermal analysis. The focus is on the two-exponential function, which expresses the most accurate interpretation of the cooling process, including time constants of winding and oil. Additionally, a novel algorithm is introduced based on the cooling curve analysis to estimate the winding hot spot in comparison to IEC-Model and fibre optic sensor measurements.","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"76 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132845760","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}
{"title":"Benefits of Research on Solid Insulation Ageing in Ester Liquids","authors":"A. Gyore, James Reid, J. Malde","doi":"10.23919/ARWtr54586.2022.9959932","DOIUrl":"https://doi.org/10.23919/ARWtr54586.2022.9959932","url":null,"abstract":"Ester liquids have become established as an alternative option to mineral oil dielectric liquids in transformers, and their use continues to grow particularly where increased fire safety or environmental risk reduction is required. However, another often undervalued benefit is the ability of esters to operate at higher temperatures and extend the life of the solid insulation in service. This paper will present a summary of research undertaken on solids insulation with ester liquids and the potential benefits to transformer design and operation.","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132531161","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}
{"title":"Effect of Barriers on Windings Temperature Rises of Dry-type Transformers: Measurements and Network Simulations","authors":"Q. Sun, Wei Wu, B. Cranganu-Cretu, A. Blaszczyk","doi":"10.23919/ARWtr54586.2022.9959913","DOIUrl":"https://doi.org/10.23919/ARWtr54586.2022.9959913","url":null,"abstract":"This paper presents the investigation results of a study on how dielectric barriers between low and high voltage windings influence the winding temperature rises of dry type transformers. Dedicated heat run tests have been performed for two transformer designs that have been assembled with 0, 1, 2 and 3 cylindrical barriers in the space between LV and HV windings. For each barrier configuration a Computational Fluid Dynamics (CFD) model as well as a coupled pressure-thermal network model have been built for comparison with the measurements, which confirmed the significance of the barrier influence and could further enable potential improvement of the simulation tools used by transformer designers.","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121951509","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}
Enrique Betancourt-Ramirez, I. Ndiaye, J. Castellanos-González
{"title":"Grid-Ready Flexible Transformers for Resilient Transmission Networks","authors":"Enrique Betancourt-Ramirez, I. Ndiaye, J. Castellanos-González","doi":"10.23919/ARWtr54586.2022.9959916","DOIUrl":"https://doi.org/10.23919/ARWtr54586.2022.9959916","url":null,"abstract":"Today’s transmission networks extend for hundreds of kilometers, transferring significant amounts of electrical energy. For every country, there are sort of “back-bone” lines, where a massive failure of transformers would create serious challenges to sustain a reliable energy supply. Natural phenomena and human driven actions could be triggers of such catastrophic events. For large utilities, or groups of utilities, it would be highly convenient to count with “flexible transformers”, which could be used as replacements for different voltage levels and with impedance adjustable to match optimum local requirements of impacted substations. Currently applied “emergency transformers” are fixed-impedance devices. In this contribution, a new concept of flexible, “future-grid ready” type of power transformers, specially devised for transmission networks is explained. This transformer has adjustable impedance features, which could be on-line operated. The concept has been proven to be functional and stable in the factory lab and in the field, by means of a prototype autotransformer of of 100 MVA, 165/69 Kv.","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115052903","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}
{"title":"ARWtr 2022 Cover Page","authors":"","doi":"10.23919/arwtr54586.2022.9959928","DOIUrl":"https://doi.org/10.23919/arwtr54586.2022.9959928","url":null,"abstract":"","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123338678","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}
{"title":"ARWtr 2022 Author Reviewer Page","authors":"","doi":"10.23919/arwtr54586.2022.9959943","DOIUrl":"https://doi.org/10.23919/arwtr54586.2022.9959943","url":null,"abstract":"","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128231749","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}
Xavier Kestelyn, G. Denis, V. Champaney, Nicolas Hascoet, C. Ghnatios, Fransisco Chinesta
{"title":"Towards a Hybrid Twin for Infrastructure Asset Management: Investigation on Power Transformer Asset Maintenance Management","authors":"Xavier Kestelyn, G. Denis, V. Champaney, Nicolas Hascoet, C. Ghnatios, Fransisco Chinesta","doi":"10.23919/ARWtr54586.2022.9959914","DOIUrl":"https://doi.org/10.23919/ARWtr54586.2022.9959914","url":null,"abstract":"In a resources scarcity context, grid asset management consists in operating power systems with a certain risk level while optimizing the assets service life. Transmission System Operators and owners inform their decision based on nominal physics-based models or monitor valuable assets and derive fully data-based digital twin. In this work, the hybrid twin capabilities are evaluated to support decision based on individual Power Transformers thermal behavior. It is shown that the generic IEC 60076-7 can be completed by machine learning features to obtain individual conditions at reasonable cost, to seek future application on maintenance optimization or dynamic transformer rating.","PeriodicalId":261952,"journal":{"name":"2022 7th International Advanced Research Workshop on Transformers (ARWtr)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130775623","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}