{"title":"The Power Components Distribution Investigating in Idle Mode of Three-Phase Transformer with Damage Winding","authors":"I. Reva, O. Bialobrzheskyi, O. Todorov, M. Bezzub","doi":"10.1109/EUROCON52738.2021.9535558","DOIUrl":null,"url":null,"abstract":"Transformers in today's network are increasingly affected by distribution generation. Due to significant fluctuations in source primary energy flow arise idling mode in transformer, increasing loss of saturated magnetic circuit. In this regard, the transformer condition monitoring problems arise and are solve, taking into account its power distribution, especially in damages case. Existing studies in most cases are based on the power distribution analysis, or its harmonic components for normal operating condition. The rules for power distribution determining process of three-phase transformer with inter-turn fault in the windings group of one of the phases is proposed. An experimental study the three-phase transformer idling mode was performed on the laboratory equipment. Developed the primary sequence of the conducting an experiment for research and monitoring of three-phase transformer energy performance in idle mode with a damaged winding. The method was used for this purpose - the power harmonic componets distribution analysis of three-phase transformer provided that the determination location of the damage is by infrared measurement. It is noted that the power of harmonics current and voltage, significantly different from the power harmonics in each of the phases transformer and between phases in general. This allows to apply previously known criteria for evaluating the power distortion character as transformer damage indicators. The results of the study can be used as components for a hybrid monitoring and expert system in SmartGrid.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"42 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUROCON52738.2021.9535558","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
Transformers in today's network are increasingly affected by distribution generation. Due to significant fluctuations in source primary energy flow arise idling mode in transformer, increasing loss of saturated magnetic circuit. In this regard, the transformer condition monitoring problems arise and are solve, taking into account its power distribution, especially in damages case. Existing studies in most cases are based on the power distribution analysis, or its harmonic components for normal operating condition. The rules for power distribution determining process of three-phase transformer with inter-turn fault in the windings group of one of the phases is proposed. An experimental study the three-phase transformer idling mode was performed on the laboratory equipment. Developed the primary sequence of the conducting an experiment for research and monitoring of three-phase transformer energy performance in idle mode with a damaged winding. The method was used for this purpose - the power harmonic componets distribution analysis of three-phase transformer provided that the determination location of the damage is by infrared measurement. It is noted that the power of harmonics current and voltage, significantly different from the power harmonics in each of the phases transformer and between phases in general. This allows to apply previously known criteria for evaluating the power distortion character as transformer damage indicators. The results of the study can be used as components for a hybrid monitoring and expert system in SmartGrid.