|Table of Contents|

Mass and hot spot temperature rise balance optimization of dry-type on-board traction transformers for EMUs(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2023年05期
Page:
152-162
Research Field:
载运工具运用工程
Publishing date:
2023-11-10

Info

Title:
Mass and hot spot temperature rise balance optimization of dry-type on-board traction transformers for EMUs
Author(s):
GUO Lei;  CAI Feng-lin;  YUAN Shuai;  ZHU Qiu-yue;  WANG Dong-yang;  ZHOU Li-jun
(School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, Sichuan, China)
Keywords:
vehicle engineering;  on-board traction transformer;  temperature modeling;  lightweight;  response surface method;  multi-objective optimization
PACS:
U264.3
DOI:
10.19818/j.cnki.1671-1637.2023.05.010
Abstract:
To address the mutual constraint between the mass and hot spot temperature rise of dry-type on-board traction transformers during the optimization process, an optimization method combining the simplified computational fluid dynamics(CFD)model simulation with the multi-objective algorithm was proposed. To enhance the computational efficiency of the CFD temperature rise simulation, a simplified modeling method for the CFD of dry-type on-board traction transformer winding was proposed based on the thermal-electric transfer analogical equivalence principle. A temperature rise test platform for simulating the operating conditions was established to validate the effectiveness of the simplified modeling method. Based on the simulation results of temperature rise and response surface method using the simplified model under the coupling of multiple fields, a mathematical explicit model reflecting the intrinsic relationship between the hot spot temperature rise and mass structural parameters of the dry-type on-board traction transformer was constructed. Furthermore, in view of the constraints of electricity, magnetism, and dimensions of the on-board traction transformer, an equilibrium optimization method based on the non-dominated sorting multi-objective genetic algorithm was proposed, and the optimized scheme was compared with the initial scheme. Research results demonstrate that the equivalent simplified modeling method is rapid and concise, and it has a high computational accuracy. In the simulation model with 170 turns of winding, the simulation time reduces from 4.00 h to 0.67 h. The average relative difference between the simplified model and the specific model in the temperature rise simulation results is 0.609%, and the maximum relative difference is 2.169%. The simplified modeling method eliminates the tiny spacing of the CFD model by using the equivalent principle and significantly reduces the number of solid region grids while ensuring the grid quality. The improvement of the computational efficiency is positively correlated with the number of winding turns to be simplified. Compared with the initial scheme, the optimized scheme reduces the hot spot temperature rise of the dry-type on-board traction transformer by 33.57% and decreases the mass by 29.20%. 7 tabs, 11 figs, 30 refs.

References:

[1] RONANKI D, SINGH S A, WILLIAMSON S S. Comprehensive topological overview of rolling stock architectures and recent trends in electric railway traction systems[J]. IEEE Transactions on Transportation Electrification, 2017, 3(3): 724-738.
[2] STEINER M, REINOLD H. Medium frequency topology in railway applications[C]∥IEEE. 2007 European Conference on Power Electronics and Applications. New York: IEEE, 2008: 9852605.
[3] FENG Jiang-hua, CHU W Q, ZHANG Zhi-xue, et al. Power electronic transformer-based railway traction systems: challenges and opportunities[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2017, 5(3): 1237-1253.
[4] 张雪原,吴广宁,何常红,等.车载牵引变压器小型轻量化研究[J].机车电传动,2007(4):5-8.
ZHANG Xue-yuan, WU Guang-ning, HE Chang-hong, et al. Study on miniaturization and lightening of on-board traction transformer[J]. Electric Drive for Locomotives, 2017(4): 5-8.(in Chinese)
[5] KUMMETH P, SCHLOSSER R, MASSEK P, et al. Development and test of a 100 kVA superconducting transformer operated at 77 K[J]. Superconductor Science and Technology, 2000, 13(5): 503-505.
[6] FUJIMOTO H, HATA H, KAMIJO H, et al. Preliminary study of superconducting transformers for electric rolling stocks[J]. Physica C: Superconductivity, 2000, 341-348: 2625-2626.
[7] KAMIJO H, HATA H, FUJIMOTO H, et al. Fabrication of winding model of high-Tc superconducting transformer for railway rolling stock[J]. IEEE Transactions on Applied Superconductivity, 2003, 13(2): 2337-2340.
[8] WANG Yin-shun, LI Hui-dong, ZHAO Xiang, et al. A single phase model 9 kVA high-temperature superconducting power transformer[J]. Superconductor Science and Technology, 2004, 17(8): 1014-1017.
[9] GLINKA M, MARQUARD T. A new AC/AC multilevel converter family[J]. IEEE Transactions on Industrial Electronics, 2005, 52(3): 662-669.
[10] BESSELMANN T, MESTER A, DUJIC D. Power electronic traction transformer: efficiency improvements under light-load conditions[J]. IEEE Transactions on Power Electronics, 2014, 29(8): 3971-3981.
[11] HU Hai-tao, GAO Shi-bin, SHAO Yang, et al. Harmonic resonance evaluation for hub traction substation consisting of multiple high-speed railways[J]. IEEE Transactions on Power Delivery, 2017, 32(2): 910-920.
[12] HE Zheng-you, HU Hai-tao, ZHANG Yang-fan, et al. Harmonic resonance assessment to traction power-supply system considering train model in China high-speed railway[J]. IEEE Transactions on Power Delivery, 2014, 29(4): 1735-1743.
[13] 王小君,毕成杰,金 程,等.电气化铁路不停电过分相电磁暂态及抑制措施研究[J].电工技术学报,2021,36(1):191-202.
WANG Xiao-jun, BI Cheng-jie, JIN Cheng, et al. Research on electromagnetic transient and suppression measures for passing neutral section without power interruption of electrified railway[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 191-202.(in Chinese)
[14] YUAN Shuai, ZHOU Li-jun, GUO Xiao-feng, et al. Modelling method for thermal field of turbulent cooling dry-type on-board traction transformer in EMUs[J]. IEEE Transactions on Transportation Electrification, 2022, 8(1): 298-311.
[15] 袁 帅,周利军,勾小凤,等.干式车载牵引变压器列车风冷却对流传热计算与绕组区域热网络建模[J].中国电机工程学报,2022,42(15):5719-5730.
YUAN Shuai, ZHOU Li-jun, GOU Xiao-feng, et al. Train induced wind cooling convection heat transfer calculation and winding area thermal network modeling of dry-type on-board traction transformer[J]. Proceedings of the CSEE, 2022, 42(15): 5719-5730.(in Chinese)
[16] 高 波,许 竟,杨 雁,等.车载牵引变压器油纸绝缘热老化特性及机理研究[J].铁道学报,2020,42(7):80-86.
GAO Bo, XU Jing, YANG Yan, et al. Thermal aging characteristics and mechanism analysis of oil-paper insulation in on-board traction transformer[J]. Journal of the China Railway Society, 2020, 42(7): 80-86.(in Chinese)
[17] 曹小鹏,陈 武,宁光富,等.基于多目标遗传算法的大功率高频变压器优化设计[J].中国电机工程学报,2018,38(5):1348-1355.
CAO Xiao-peng, CHEN Wu, NING Guang-fu, et al. Optimization design of high-power high-frequency transformer based on multi-objective genetic algorithm[J]. Proceedings of the CSEE, 2018, 38(5): 1348-1355.(in Chinese)
[18] 律方成,郭云翔,李 鹏.大功率中频变压器多目标参数优化设计[J].高电压技术,2017,43(1):210-217.
LYU Fang-cheng, GUO Yun-xiang, LI Peng. Optimization design for multiple target parameters of high power medium frequency transformer[J]. High Voltage Engineering, 2017, 43(1): 210-217.(in Chinese)
[19] DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-Ⅱ[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.
[20] SMOLKA J. CFD-based 3-D optimization of the mutual coil configuration for the effective cooling of an electrical transformer[J]. Applied Thermal Engineering, 2013, 50(1): 124-133.
[21] SMOLK A, NOWAK A J. Shape optimization of coils and cooling ducts in dry-type transformers using computational fluid dynamics and genetic algorithm[J]. IEEE Transactions on Magnetics, 2011, 47(6): 1726-1731.
[22] ESLAMIANM, VAHIDI B, ESLAMIAN A. Thermal analysis of cast-resin dry-type transformers[J]. Energy Conversion and Management, 2011, 52(7): 2479-2488.
[23] RAEISIAN L, NIAZMAND H, EBRAHIMNIA-BAJESTAN E, et al. Thermal management of a distribution transformer: an optimization study of the cooling system using CFD and response surface methodology[J]. International Journal of Electrical Power and Energy Systems, 2019, 104: 443-455.
[24] TORRIANO F, PICHER P, CHAABAN M, et al. Numerical investigation of 3D flow and thermal effects in a disc-type transformer winding[J]. Applied Thermal Engineering, 2012, 40: 121-131.
[25] TORRIANO F, CHAABAN M, PICHER P. Numerical study of parameters affecting the temperature distribution in a disc-type transformer winding[J]. Applied Thermal Engineering, 2010, 30(14/15): 2034-2044.
[26] SKILLEN A, REVELL A, IACOVIDES H, et al. Numerical prediction of local hot-spot phenomena in transformer windings[J]. Applied Thermal Engineering, 2012, 36: 96-105.
[27] 邓永清,阮江军,龚宇佳,等.基于参数热等效的10 kV变压器温度流体场三维仿真计算[J].电力自动化设备,2021,41(4):212-218.
DENG Yong-qing, RUAN Jiang-jun, GONG Yu-jia, et al. Three dimensional thermal fluid field simulation of 10 kV transformer based on parameter thermal equivalence[J]. Electric Power Automation Equipment, 2021, 41(4): 212-218.(in Chinese)
[28] 朱红军.高速动车组牵引变压器设计及电磁场分析[D].成都:西南交通大学,2019.
ZHU Hong-jun. Design and electromagnetic analysis for high speed EMU traction transformer[D]. Chengdu: Southwest Jiaotong University, 2019.(in Chinese)
[29] 魏博凯.非晶合金干式变压器优化设计方法与系统研究[D].赣州:江西理工大学,2021.
WEI Bo-kai. Research on optimization design method and system of amorphous alloy metal dry-type transformer[D]. Ganzhou: Jiangxi University of Science and Technology, 2021.(in Chinese)
[30] MCKAY M D, BECKMAN R J, CONOVER W J. Comparison of three methods for selecting values of input variables in the analysis of output from a computer code[J]. Technometrics, 1979, 21(2): 239-245.

Memo

Memo:
-
Last Update: 2023-11-10