数字孪生技术及其在变压器过载分析中的应用研究

Dexu Zou, Zhirui Zhang, Qingjun Peng, Shan Wang, Yong Shi, Z. Hong, Weiju Dai, Hao Quan
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引用次数: 1

摘要

过载是变电站运行中常见的故障。然而,对于始终运行在110kV以上电压等级的大容量油浸变压器,由于其内部结构较为复杂,难以直接测量热点温度以避免温度异常带来的问题。近年来,数字孪生技术蓬勃发展,现在让许多行业看到了它的智能重组。本文论述了变压器过载的原因、机理和影响,以及如何利用数字孪生技术实现变压器运行中的全面监测和故障分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Digital Twins Technology and Its Future Implementation in Transformer Overload Analysis
Overload is a common failure in substation operation. However, for large-capacity oil-immersed transformers which invariably operate at a voltage class of above 110kV, it is difficult to directly measure the hot spot temperature to avoid problems caused by abnormal temperatures considering their more complex internal structure. In recent years, digital twin technology has flourished, which now allows many industries to see its intelligent restructuring. This article discusses the cause, mechanism, and effects of transformer overload and how we can use digital twins technology to achieve comprehensive monitoring and fault analysis in transformer operation.
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