Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88153
Title: Three-dimensional thermal modelling of transformers in transformer room for spatial and temporal failure analysis
Authors: Tao, Wang
Wang, Qianggang
Peng, Wang
Keywords: Computational Fluid Dynamics
Cooling
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Tao, W., Wang, Q., & Peng, W. (2018). Three-dimensional thermal modelling of transformers in transformer room for spatial and temporal failure analysis. IET Generation, Transmission & Distribution, 12(13), 3314-3321. doi:10.1049/iet-gtd.2017.1862
Series/Report no.: IET Generation, Transmission & Distribution
Abstract: 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.
URI: https://hdl.handle.net/10356/88153
http://hdl.handle.net/10220/45620
ISSN: 1751-8687
DOI: http://dx.doi.org/10.1049/iet-gtd.2017.1862
Rights: © 2018 The Institution of Engineering and Technology. This paper was published in IET Generation, Transmission & Distribution and is made available as an electronic reprint (preprint) with permission of The Institution of Engineering and Technology. The published version is available at: [http://dx.doi.org/10.1049/iet-gtd.2017.1862]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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