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Numerical study on temperature rise and mechanical properties of winding in oil-immersed transformer

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  • Jia, Xiaoyu
  • Lin, Mei
  • Su, Shiwei
  • Wang, Qiuwang
  • Yang, Jian

Abstract

In the present paper, the electromagnetic-fluid-thermal-mechanical stress coupling process in an oil-immersed transformer is numerical studied with finite element method. The relationship between electromagnetic force and flux leakage, interaction of losses, temperature and oil flow, and the influence of electromagnetic force and temperature rise on mechanical characteristics of coil are carefully analyzed. Firstly, the leakage flux is mainly generated at the ends of coil and core corner end. The electromagnetic force of B-Phase low voltage coil is the highest due to the leakage flux superimposition caused by A-Phase and C-Phase coils and higher current on B-Phase low voltage coil itself. Secondly, the interaction between losses, temperature and oil flow is remarkable. Compared with the results as heat source is constant, the loss density of high and low voltage coil increased by 18.18% and 14.87%, respectively, and the hot spot temperature increased by 7.06 K. Finally, it is revealed that the coil deformation is mainly caused by thermal load, and little affected by electromagnetic force. The frequency of stress is twice as high as that of energized current. The stress at both ends of the coil is the highest and it would lead to fatigue failures.

Suggested Citation

  • Jia, Xiaoyu & Lin, Mei & Su, Shiwei & Wang, Qiuwang & Yang, Jian, 2022. "Numerical study on temperature rise and mechanical properties of winding in oil-immersed transformer," Energy, Elsevier, vol. 239(PA).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pa:s0360544221020363
    DOI: 10.1016/j.energy.2021.121788
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    References listed on IDEAS

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    1. Hajipour, Ehsan & Mohiti, Maryam & Farzin, Nima & Vakilian, Mehdi, 2017. "Optimal distribution transformer sizing in a harmonic involved load environment via dynamic programming technique," Energy, Elsevier, vol. 120(C), pages 92-105.
    2. Yazdani-Asrami, Mohammad & Mirzaie, Mohammad & Shayegani Akmal, Amir Abbas, 2013. "No-load loss calculation of distribution transformers supplied by nonsinusoidal voltage using three-dimensional finite element analysis," Energy, Elsevier, vol. 50(C), pages 205-219.
    3. Lopes, Rui Amaral & Magalhães, Pedro & Gouveia, João Pedro & Aelenei, Daniel & Lima, Celson & Martins, João, 2018. "A case study on the impact of nearly Zero-Energy Buildings on distribution transformer aging," Energy, Elsevier, vol. 157(C), pages 669-678.
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    Cited by:

    1. Wang, Bo & Jia, Xiaoyu & Yang, Jian & Wang, Qiuwang, 2022. "Numerical study on temperature rise and structure optimization for a three-phase gas insulated switchgear busbar chamber," Energy, Elsevier, vol. 254(PC).
    2. Nan Zhu & Ji Li & Lei Shao & Hongli Liu & Lei Ren & Lihua Zhu, 2023. "Analysis of Interturn Faults on Transformer Based on Electromagnetic-Mechanical Coupling," Energies, MDPI, vol. 16(1), pages 1-13, January.
    3. Rogkas, N. & Karampasakis, E. & Fotopoulou, M. & Rakopoulos, D., 2024. "Assessment of heat transfer mechanisms of a novel high-frequency inductive power transfer system and coupled simulation using FEA," Energy, Elsevier, vol. 300(C).
    4. Varbanov, Petar Sabev & Wang, Bohong & Ocłoń, Paweł & Radziszewska-Zielina, Elżbieta & Ma, Ting & Klemeš, Jiří Jaromír & Jia, Xuexiu, 2023. "Efficiency measures for energy supply and use aiming for a clean circular economy," Energy, Elsevier, vol. 283(C).
    5. Cheng, Shucan & Zhao, Yanpu & Xie, Kejia & Hu, Bin & Zhang, Jinxian & Yang, Xingxiong, 2024. "A novel method for fast computation of the temperature rise and optimal design of GIL based on thermal network model," Energy, Elsevier, vol. 289(C).

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