Thermal Analysis of Power Transformers with Different Cooling Systems Using Computational Fluid Dynamics

被引:0
作者
Gabriel C. Nogueira
Leonardo H. Medeiros
Micael M. Oliveira
Nórton D. Barth
Vitor C. Bender
Tiago B. Marchesan
Carlos E. G. Falcão
机构
[1] Federal University of Santa Maria,Institute of Smart Grids
[2] Federal University of Santa Maria,Mechanical Engineering Department
来源
Journal of Control, Automation and Electrical Systems | 2022年 / 33卷
关键词
Computational fluid dynamics; Insulating oil; Cooling system; Power transformer; Lifespan;
D O I
暂无
中图分类号
学科分类号
摘要
This article performs a thermal study through the application of Computational Fluid Dynamics (CFD) of a transformer prototype considering six different cooling configurations. Each configuration was computationally designed and simulated in the ANSYS CFX ©\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\copyright $$\end{document} software. It was possible to analyze the temperature data of the hotspot, at the top oil and at the average temperature, thus comparing the thermal performance of each system and implementing the data in a simplified methodology for estimating the transformer lifespan standardized by IEEE C57.100-2011. In addition, the rendering of the results allows visualizing the temperature distribution and, consequently, the performance for each cooling system. Finally, the advantages and disadvantages of each cooling system were summarized, providing useful information for transformer designer’s decision. As some results, the forced air-cooled transformers have a thermal reduction of approximately 8.81% compared to natural air-cooled and the directed oil system transformers have superior cooling performance than forced oil and natural oil. The directed oil and forced air combination means a useful life 52.76% longer than the natural oil and natural air combination.
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页码:359 / 368
页数:9
相关论文
共 64 条
[1]  
Ashkezari AD(2013)Application of fuzzy support vector machine for determining the health index of the insulation system of in-service power transformers IEEE Transactions on Dielectrics and Electrical Insulation 20 965-973
[2]  
Ma H(2014)Post-mortem estimation of temperature distribution on a power transformer: Physicochemical and mechanical approaches Applied Thermal Engineering 70 935-943
[3]  
Saha TK(2016)Thermal degradation assessment of kraft paper in power transformers insulated with natural esters Applied Thermal Engineering 104 129-138
[4]  
Ekanayake C(2017)Reduced model for the thermo-fluid dynamic analysis of a power transformer radiator working in onaf mode Applied Thermal Engineering 124 855-864
[5]  
Carcedo J(2009)An approach to power transformer asset management using health index IEEE Electrical Insulation Magazine 25 20-34
[6]  
Fernández I(2013)Prediction and evaluation of the cooling performance of radiators used in oil-filled power transformer applications with non-direct and direct-oil-forced flow Experimental Thermal and Fluid Science 44 392-397
[7]  
Ortiz A(2017)A study on the performance of different radiator cooling systems in large-scale electric power transformer Journal of Mechanical Science and Technology 31 3317-3328
[8]  
Carrascal I(2014)Cfd study on thermal performance of radiators in a power transformer: Effect of blowing direction and offset of fans IEEE Transactions on Power Delivery 29 2596-2604
[9]  
Delgado F(2010)Basics of detailed thermal-hydraulic model for thermal design of oil power transformers IEEE Transactions on Power Delivery 25 790-802
[10]  
Ortiz F(2020)Experimental research on the characteristics of radiator batteries of oil immersed power transformers IEEE Transactions on Power Delivery 35 725-734