Three-dimensional thermal modelling of transformers in transformer room for spatial and temporal failure analysis

被引:8
作者
Wang Tao [1 ]
Wang Qianggang [2 ]
Wang Peng [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
[2] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, 174 Shazheng St, Chongqing, Peoples R China
关键词
power transformers; failure analysis; computational fluid dynamics; temperature distribution; Weibull distribution; ventilation; cooling; three-dimensional thermal modelling; transformer room; temporal failure analysis; spatial failure analysis; transformer failure rate; hot spot temperature; IEEE empirical equations; three-dimensional thermal simulations; ventilation calculation; heat generation equations; power device simulation; cooling strategies; mutual heating effect; power equipment; temperature distribution prediction; service life-dependent model; temperature-dependent model; Arrhenius theory; ventilation design; POWER; WINDINGS;
D O I
10.1049/iet-gtd.2017.1862
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
Temperature is a key factor for failure analysis of power transformers. Conventionally, transformer failure rate is calculated with hot spot temperature induced from IEEE empirical equations. This article firstly introduces a spatial and temporal related failure model based on three-dimensional thermal simulations of transformer and the related environment. The proposed thermal model is established with computational fluid dynamics for ventilation calculation and heat generation equations for power device simulation. Cooling strategies and mutual heating effect of power equipment are considered for an accurate temperature distribution prediction. By incorporating the three-dimensional thermal model into the service life-dependent and temperature-dependent model, the failure rate of each spatial point in power transformer could be calculated according to Arrhenius theory and Weibull distribution. The simulation results show that the proposed model clearly improves the accuracy of failure analysis and can be used for thermal and ventilation design of transformer room.
引用
收藏
页码:3314 / 3321
页数:8
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