计算机科学 ›› 2025, Vol. 52 ›› Issue (11A): 240800082-11.doi: 10.11896/jsjkx.240800082

• 交叉&应用 • 上一篇    下一篇

计及短路重合闸的电力变压器机械稳定性评估方法

郝越峰1, 刘君2, 许逵3, 徐舒蓉2, 石林涛1, 陆禹初1   

  1. 1 贵州电网有限责任公司贵阳供电局 贵阳 550004
    2 贵州电网有限责任公司电力科学研究院 贵阳 550005
    3 贵州电网有限责任公司 贵阳 550002
  • 出版日期:2025-11-15 发布日期:2025-11-10
  • 通讯作者: 刘君(147088790@163.com)
  • 作者简介:309874696@qq.com
  • 基金资助:
    贵州电网有限责任公司科技项目(060100KK52220010)

Mechanical Stability Evaluation Method of Power Transformer Considering Short-circuit Reclosing

HAO Yuefeng1, LIU Jun2, XU Kui3, XU Shurong2, SHI Lintao1, LU Yuchu1   

  1. 1 Guiyang Power Supply Bureau of Guizhou Power Grid Co.,Ltd.,Guiyang 550004,China
    2 Electric Power Research Institute of Guizhou Power Grid Co.,Ltd.,Guiyang 550005,China
    3 Guizhou Power Grid Co.,Ltd.,Guiyang 550002,China
  • Online:2025-11-15 Published:2025-11-10
  • Supported by:
    Science and Technology Project of Guizhou Power Grid Co., Ltd.(060100KK52220010).

摘要: 随着电网容量和覆盖范围的扩展,变压器出口处短路故障日益频繁。为了减小未考虑重合闸二次冲击对电力变压器抗短路校核的影响,基于第四强度理论和轴向及辐向失稳准则,提出了一种计及短路重合闸影响的电力变压器机械稳定性评估方法。首先,通过场-路耦合法模拟了短路重合闸工况,计算出短路过程中变压器绕组的电流大小、漏磁分布和电磁力密度。在此基础上进行了有限元模型的二维轴对称简化,并使用高阶多项式拟合构建了用于变压器绕组漏磁密度快速预测的代理模型,以提高电力变压器在短路条件下性能校核的计算效率,并为变压器抗短路能力的快速评估提供了一种新的途径。接着,通过电磁-结构场顺序耦合分析了绕组承受的冯·米塞斯应力和短路电动力作用下发生的位移及残余变形。最后,综合最小屈服失效系数以及多维度的结构失稳判据对变压器在短路电磁载荷作用下的机械稳定性进行校核,并阐述了基于云边协同的在运变压器动稳评估与预警体系的构建方案。实施该评估方法有效提升了变压器绕组稳定性校核的准确性,并为变压器维护与故障预防提供了科学支撑。

关键词: 电力变压器, 短路重合闸, 有限元分析, 场-路耦合, 机械稳定性, 云边协同

Abstract: With the expansion of power grid capacity and coverage,short-circuit faults at transformer outlets are becoming more and more frequent.In order to reduce the influence of not considering the secondary impact of reclosing on the anti-short-circuit check of power transformer,based on the fourth strength theory and the axial and radial instability criteria,a mechanical stability evaluation method of power transformer considering the influence of short-circuit reclosing is proposed.Firstly,the field-circuit coupling method is used to simulate the short-circuit reclosing condition,and the current size,magnetic flux leakage distribution and electromagnetic force density of the transformer winding during the short-circuit process are calculated.On this basis,the two-dimensional axisymmetric simplification of the finite element model is carried out,and the high-order polynomial fitting is used to construct a surrogate model for the rapid prediction of the magnetic flux leakage density of the transformer winding,so as to improve the calculation efficiency of the performance check of the power transformer under short-circuit conditions,and provide a new way for the rapid evaluation of the short-circuit resistance of the transformer.Then,the displacement and residual deformation of the winding under the action of von Mises stress and short-circuit electrodynamic force are analyzed by electromagnetic-structural field sequential coupling.Finally,the mechanical stability of transformer under short-circuit electromagnetic load is checked by combining the minimum yield failure coefficient and multi-dimensional structural instability criterion,and the construction scheme of dynamic stability evaluation and early warning system of in-service transformer based on cloud-edge coordination is expounded.The implementation of this evaluation method effectively improves the accuracy of transformer winding stability check,and provides scientific support for transformer maintenance and fault prevention.

Key words: Power transformer, Short-circuit reclosing, Finite element analysis, Field-circuit coupling, Mechanical stability, Cloud edge collaboration

中图分类号: 

  • TM411
[1]ZHANG Z,WU Y,ZHANG S,et al.Online Monitoring Re-search of Transformer Vibration Based on Labview[J].Journal of Physics:Conference Series,2019,1168(2):022083.
[2]ZHANG Z,WU Y,ZHANG R,et al.Novel Transformer Fault Identification Optimization Method Based on Mathematical Statistics[J].Mathematics,2019,7(3):288.
[3]CHEN J,WEI Q,LI Y,et al.A Coordinated Reclosing Strategy for Maintained Transformer in Offshore Wind Power Systems[J].Journal of Physics:Conference Series,2023,2659(1):012007.
[4]HONG K X.Research on live detection method of mechanicalstability of power transformer winding based on vibration method[D].Hangzhou:Zhejiang University,2016.
[5]LIU Z,CHEN Z,LIU H,et al.Operating Deflection ShapesAnalysis of Transformers Based on FBG Sensors[C]//2019 ASIA Communications and Photonics Conference(ACP).2019.
[6]WU Y,ZHANG Z,XIAO R,et al.Operation State IdentificationMethod for Converter Transformers Based on Vibration Detection Technology and Deep Belief Network Optimization Algorithm[J].Actuators,2021,10(3):56.
[7]PALLOT J,EKANAYAKE C,MA H,et al.Application ofOperational Modal Analysis to Investigate Transformer Vibration Patterns[J].IET Generation,Transmission & Distribution,2022,16(10):1964-1973.
[8]GEIBLER D,LEIBFRIED T.Short-Circuit Strength of PowerTransformer Windings-Verification of Tests by a Finite Element Analysis-Based Model[J].IEEE Transactions on Power Delivery,2017,32(4):1705-1712.
[9]ARAUJO J F,COSTA E G,ANDRADE F L M,et al.Methodo-logy to Evaluate the Electromechanical Effects of Electromagnetic Forces on Conductive Materials in Transformer Windings Using the Von Mises and Fatigue Criteria[J].IEEE Transactions on Power Delivery,2016,31(5):2206-2214.
[10]YONG Z M,LIU B Q,DAI L F,et al.Discussion on allowable stress of glass lined equipment[J].Pressure Vessels,2012,29(11):30-33.
[11]LIU J,LUO J Y,LV Q S,et al.Theoretical evaluation of win-ding stability of 110kV transformer in Guizhou power grid based on short-circuit check data[J].Power Big Data,2022,25(8):1-11.
[12]XIE X,ZHANG Z X,DING L J,et al.Reason analysis and treat-ment measures for unqualified transformer short-circuit resis-tance check[J].Sichuan Electric Power Technology,2022,45(5):54-57.
[13]WANG H L,HE Q,XIANG C,et al.Study on the influence of winding design parameters on the short-circuit resistance of power transformers[J].Smart Power,2018,46(4):70-74,105.
[14]刘宏亮.电力变压器抗短路能力校核及治理[M].北京:中国电力出版社,2018.
[15]LIU W L,TANG Y,LI Y,et al.Evaluation of radial stability of high voltage winding of power transformer[J].Journal of Harbin University of Science and Technology,2016,21(4).
[16]LUO J Y,LIU J,HU X,et al.Research on the method of checking the short-circuit resistance of power transformers based on finite element[J].New Technology of Electrical Energy,2023,42(2):78-87.
[17]HONG Z M,CHAI X H,CHEN P,et al.Analysis and Research on Outlet Short-Circuit Current of Three-Winding Transformer [J].Electric Engineering,2020(11):82-84,87.
[18]RAN D D,MENG T N,WANG X B,et al.Calculation of single-phase grounding short-circuit current and winding strength of three-winding power transformer[J].Transformer,2022,59(4):48-53.
[19]CUI J Z.Simulation Study on Winding and Support Structure Strength of Power Transformer under Short-Circuit Condition [D].Shenyang:Shenyang University of Technology,2022.
[20]ZOU C,PENG P,LIU Y,et al.Analysis of the Influence ofRemanence on the Performance of Current Transformer Caused by DC Ice Melting of Transmission Lines[J].Journal of Phy-sics:Conference Series,2023,2503(1):012061.
[21]LI T,ZHANG Y,LI Y,et al.Experimental Study on Short-Circuit Withstand Capability of Transformers [J].Electric Drive Automation,2023,45(1):58-62.
[22]LIN Y,LAN S,XU M L,et al.Research on Low-Voltage Win-ding Deformation of Transformers Under Short-Circuit Electrodynamic Force [J].Electrical Technology,2022,23(1):8-14.
[23]ZHAO H,ZHANG Z,YANG Y,et al.A Dynamic Monitoring Method of Temperature Distribution for Cable Joints Based on Thermal Knowledge and Conditional Generative Adversarial Network[J].IEEE Transactions on Instrumentation and Mea-surement,2023,72:1-14.
[24]DU G A,XU Y Z,LAN S,et al.Factor Analysis of Transformer Winding Deformation Based on Magneto-Structural Field Coupling [J].Electrical Technology,2021,22(1):1-7,46.
[25]路长柏.电力变压器理论与计算[M].沈阳:辽宁科学技术出版社,2007.
[26]WANG S H,XU Y H,SUN K X,et al.Simulation Study on the Influence of Different Short-Circuit and Ground Faults on Transformer Winding State under Multi-Physical Field Coupling [J].High Voltage Engineering,2023,49(6):2397-2408.
[27]TONG J,QI Z H,PU T J,et al.Edge Intelligence in Electric Power Internet of Things:Concepts,Architecture,Technologies and Applications [J].Proceedings of the Chinese Society of Electrical Engineering,2024,44(14):5473-5496.
[28]CHEN Y P,LIU B,LIN W W,et al.Survey of Cloud-Edge Collaboration [J].Computer Science,2021,48(3):259-268.
[29]OU Q,LUO L F,LI Y,et al.An Evaluation Method for Cumulative Mechanical Damage of Power Transformers under Short-Circuit Conditions [J].Transactions of China Electrotechnical Society,2024,39(8):2578-2590.
[30]LU H,DI R H,GONG H.Performance Analysis and Optimization of Large-Scale Structural Finite Element Analysis Programs in Multi-Core Cluster Computing Environments [J].Computer Science,2012,39(1):305-310.
[31]LIU X H,HU Y G,FU W.Research on GPU Accelerated Computing for Large-Scale Finite Element Systems [J].Chinese Journal of Computational Mechanics,2012,29(1):146-152.
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