{"title":"A Smart Supervisory System for Distribution Transformers","authors":"Michael Bunn, Boon-Chong Seet, C. Baguley, B. Das","doi":"10.1109/AUPEC.2018.8757994","DOIUrl":null,"url":null,"abstract":"Traditionally the determination of the health and life of a distribution transformer (DT), has relied on modelled rather than measured data. This can lead to inaccurate assessment of transformer health and non-optimised transformer utilisation. This paper presents a smart supervisory system for DTs incorporating self-protection, communications and comprehensive monitoring features. The monitoring includes fibre-optic winding hot-spot temperature (θHS), sensing, top oil temperature (TOT), sensing and dissolved gas analysis (DGA), through monitoring hydrogen levels. Self-protection is implemented through the direct control of the medium voltage (MV), switchgear, according to sensed θHS. Communication allows for transformer health data to be sent to a remote monitoring centre. This system provides accurate and dynamic monitoring of DTs, improving reliability and utilisation levels, and simplifying asset management.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Australasian Universities Power Engineering Conference (AUPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUPEC.2018.8757994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Traditionally the determination of the health and life of a distribution transformer (DT), has relied on modelled rather than measured data. This can lead to inaccurate assessment of transformer health and non-optimised transformer utilisation. This paper presents a smart supervisory system for DTs incorporating self-protection, communications and comprehensive monitoring features. The monitoring includes fibre-optic winding hot-spot temperature (θHS), sensing, top oil temperature (TOT), sensing and dissolved gas analysis (DGA), through monitoring hydrogen levels. Self-protection is implemented through the direct control of the medium voltage (MV), switchgear, according to sensed θHS. Communication allows for transformer health data to be sent to a remote monitoring centre. This system provides accurate and dynamic monitoring of DTs, improving reliability and utilisation levels, and simplifying asset management.