FEA and CFD Based Multi-Physics Modeling, Simulation, and Validation of Oil-Immersed Power Transformers

IF 1.8 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Reza Ilka;Jiangbiao He;Jingjing Yang;Jose E. Contreras;Carlos G. Cavazos;Weijun Yin
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引用次数: 0

Abstract

Power transformers serve as indispensable elements in nearly every electrical power system. Ensuring the continuous operation of power transformers is pivotal in maintaining the reliability and safety of the power network. Hotspot temperature (HST) in windings is a key factor that indicates the health condition of a power transformer. To determine the temperature of the transformer windings, it is essential to obtain the temperature distribution inside the transformer. This paper introduces a high-fidelity multi-physics modeling and simulation framework focused on predicting the reliability of large power transformers. The methodology relies on the application of three-dimensional (3D) finite element analysis (FEA) and computational fluid dynamics (CFD). In particular, electromagnetic modeling and simulation using FEA are conducted to calculate transformer losses. Subsequently, a thermal-hydraulic model is established to determine the temperature distribution. More importantly, this is to identify the HST in the transformer windings, which is further utilized to determine the transformer lifetime. Additionally, a sensitivity analysis is carried out to evaluate how the properties of the cooling oil affect both temperature distribution and HST. Finally, experimental results are provided to confirm the multi-physics modeling and simulation results.
基于FEA和CFD的油浸式电力变压器多物理场建模、仿真与验证
电力变压器几乎是每一个电力系统中不可缺少的元件。确保电力变压器的连续运行对维护电网的可靠性和安全性至关重要。变压器绕组的热点温度是反映变压器健康状况的关键因素。为了确定变压器绕组的温度,必须得到变压器内部的温度分布。本文介绍了一种针对大型电力变压器可靠性预测的高保真多物理场建模与仿真框架。该方法依赖于三维有限元分析(FEA)和计算流体力学(CFD)的应用。特别是利用有限元法进行了电磁建模和仿真,计算了变压器的损耗。在此基础上,建立了热液模型,确定了温度分布。更重要的是,这是为了确定变压器绕组中的HST,这将进一步用于确定变压器的寿命。此外,还进行了敏感性分析,以评估冷却油的性能如何影响温度分布和HST。最后给出了实验结果,验证了多物理场建模和仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
27
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