Accuracy improvement of thermal distribution analysis of 10 kV dry-type iron-core reactor

被引:1
作者
Liao, Caibo [1 ]
Liu, Bang [1 ]
Li, Kai [2 ]
Wang, Wanqing [1 ]
机构
[1] Nanchang Univ, Sch Informat Engn, Dept Energy & Elect Engn, Nanchang 330031, Peoples R China
[2] State Grid Sichuan Ganzi Elect Power Co Ltd, Ganzi 627750, Peoples R China
基金
中国国家自然科学基金;
关键词
Dry-type iron-core reactor; Temperature distribution; Thermal analysis; Hotspot temperature; Eddy current loss; Multi-physical field coupling; TRANSFORMER; PREDICTION;
D O I
10.1016/j.csite.2024.105554
中图分类号
O414.1 [热力学];
学科分类号
摘要
Hotspot temperature is a key factor affecting the safe operation for power equipment like reactor. The different distribution of the magnetic field in the iron-core and windings results in nonuniform distribution of the electromagnetic losses. However, the influence of non-uniform losses on the temperature distribution is rarely discussed in the previous studies. In this paper, the thermal behavior of 10 kV dry-type iron-core reactor considering the influence of non-uniform losses is studied to obtain more accurate simulation results. First, the winding model with separate coils is used instead of traditional cylinder structure, and the loss of each coil is obtained by equivalent calculation method. Then, the thermal characteristics of reactor with different winding models and loss distributions are analyzed. In addition, the effect of the above factors on windings temperature distribution is discussed. Finally, the simulation results are compared with the test results of 10 kV dry-type reactor in 110 kV indoor substation. The result indicates the simulation result considering the non-uniform losses distribution is closer to the measured result. The temperature distribution of windings in vertical direction is more consistent with the real situation as well.
引用
收藏
页数:13
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共 35 条
  • [21] Numerical prediction of local hot-spot phenomena in transformer windings
    Skillen, Alex
    Revell, Alistair
    Iacovides, Hector
    Wu, Wei
    [J]. APPLIED THERMAL ENGINEERING, 2012, 36 : 96 - 105
  • [22] Sun Cheng-chao, 2020, Journal of Physics: Conference Series, V1639, DOI 10.1088/1742-6596/1639/1/012087
  • [23] Multi-point grounding fault diagnosis and temperature field coupling analysis of oil-immersed transformer core based on finite element simulation
    Sun, Lingfang
    Xu, Mengchao
    Ren, He
    Hu, Songchun
    Feng, Guoliang
    [J]. CASE STUDIES IN THERMAL ENGINEERING, 2024, 55
  • [24] A fundamental approach to transformer thermal modeling - Part I: Theory and equivalent circuit
    Swift, G
    Molinski, TS
    Lehn, W
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2001, 16 (02) : 171 - 175
  • [25] Numerical investigation of 3D flow and thermal effects in a disc-type transformer winding
    Torriano, F.
    Picher, P.
    Chaaban, M.
    [J]. APPLIED THERMAL ENGINEERING, 2012, 40 : 121 - 131
  • [26] Numerical study of parameters affecting the temperature distribution in a disc-type transformer winding
    Torriano, F.
    Chaaban, M.
    Picher, P.
    [J]. APPLIED THERMAL ENGINEERING, 2010, 30 (14-15) : 2034 - 2044
  • [27] Theoretical and Experimental Evaluation of the Temperature Distribution in a Dry Type Air Core Smoothing Reactor of HVDC Station
    Wang, Yu
    Chen, Xiaoyue
    Pan, Zhuohong
    Lu, Hailiang
    Wen, Xishan
    Jiang, Zhipeng
    Chen, Bin
    Chen, Tuteng
    [J]. ENERGIES, 2017, 10 (05):
  • [28] Thermal Simulation and Analysis of Dry-Type Air-Core Reactors Based on Multi-Physics Coupling
    Wu, Jie
    Chang, Zhengwei
    Zhang, Huajie
    Zhang, Man
    Peng, Yumin
    Liao, Jun
    Huang, Qi
    [J]. ENERGIES, 2023, 16 (21)
  • [29] Thermal analysis and optimization on a transformer winding based on non-uniform loss distribution
    Yu, Xiaoling
    Tan, Youbo
    Wang, Haotian
    Wang, Xiaolin
    Zang, Ying
    Guo, Penghong
    [J]. APPLIED THERMAL ENGINEERING, 2023, 226
  • [30] THERMAL PERFORMANCE ANALYSIS AND OPTIMIZATION DESIGN OF DRY TYPE AIR CORE REACTOR WITH THE DOUBLE RAIN COVER
    Yuan, Fa Ting
    Yang, Shou Wei
    Qin, Shi Hong
    Lv, Kai
    Tang, Bo
    Han, Shan Shan
    [J]. THERMAL SCIENCE, 2022, 26 (01): : 273 - 286