Automated Dry-type Transformer Aging Evaluation: A Simulation Study

被引:0
作者
Soltanbayev, Ilyas [1 ]
Sarmukhanov, Radkhan [1 ]
Kazymov, Sanzhar [1 ]
Otelgen, Talgat [1 ]
Bagheri, Mehdi [1 ]
机构
[1] Nazarbayev Univ, Dept Elect & Comp Engn, Astana, Kazakhstan
来源
2017 INTERNATIONAL SIBERIAN CONFERENCE ON CONTROL AND COMMUNICATIONS (SIBCON) PROCEEDINGS | 2017年
关键词
Aging rate; Dry type transformer; Hot-spot temperature; Online monitoring system; Transformer efficiency; TEMPERATURE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Transformer operation conditions are quite crucial for industry as they have significant influence on transformer remained lifetime. This influence becomes even more significant once transformer operates at high ambient temperature. Hence, development of an intelligent system that able to monitor the effect of environmental conditions on remained lifetime together with aging rate, and provide information in real time is substantial. This study is focused on an online system forecasting transformer aging rate and remained life. To evaluate the proposed model, simulation results are compared to calculations proposed by IEC standards. Moreover, system's behavior under real life conditions is analyzed and results suggesting possible industry enhancements are provided.
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页数:6
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