基于J-A磁滞理论的变压器剩磁预测

龙启; 杨旭; 姜克如; 张长虹; 侯明春; 辛昱; 熊德华; 段雄英

doi:10.13296/j.1001-1609.hva.2026.10.008

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基于J-A磁滞理论的变压器剩磁预测

研究与分析 | 更新时间：2026-10-14

- 基于J-A磁滞理论的变压器剩磁预测
- Remanence Prediction of Transformer Based on J-A Hysteresis Theory
- 高压电器 2026年62卷第10期页码：68-75
- 作者机构：
  
  中国南方电网超高压输电公司电力科研院，广州 510663
  大连理工大学电气工程学院，辽宁大连 116024
- 作者简介：
  
  龙启（1988—），男，硕士，高级工程师，主要从事高电压技术及其应用相关研究工作（E-mail：longqi@im.ehv.csg）。
  段雄英（1974—），女，教授，博士生导师，主要研究方向为高电压技术、智能化电器装备（通信作者）（E-mail：xyduan@dlut.edu.cn）。
- 基金信息：
  
  南方电网公司重点科技项目Science and Technology Project of China Southern Power Grid.(CGYKJXM20220346)
- DOI：10.13296/j.1001-1609.hva.2026.10.008
  中图分类号：
- 收稿：2026-05-09，
  
  修回：2026-07-12，
  
  纸质出版：2026-10-16
- 稿件说明：
移动端阅览
龙启, 杨旭, 姜克如, 等. 基于J-A磁滞理论的变压器剩磁预测[J]. 高压电器, 2026,62(10):68-75.

LONG Qi, YANG Xu, JIANG Keru, et al. Remanence Prediction of Transformer Based on J-A Hysteresis Theory[J]. High Voltage Apparatus, 2026, 62(10): 68-75.
龙启, 杨旭, 姜克如, 等. 基于J-A磁滞理论的变压器剩磁预测[J]. 高压电器, 2026,62(10):68-75. DOI： 10.13296/j.1001-1609.hva.2026.10.008.

LONG Qi, YANG Xu, JIANG Keru, et al. Remanence Prediction of Transformer Based on J-A Hysteresis Theory[J]. High Voltage Apparatus, 2026, 62(10): 68-75. DOI： 10.13296/j.1001-1609.hva.2026.10.008.

摘要

用断路器实现变压器的选相投切是减小励磁涌流的有效措施，选相合闸的核心是根据分闸后的剩磁得到合适的合闸角度。针对剩磁的预测，电压积分法存在积分上限不易确定的问题，而Jiles-Atherton（J-A）模型具有参数物理含义明晰，计算准确等优点。首先，针对目前提取J-A模型参数的粒子群算法（particle swarm optimization，PSO）收敛速度慢、容易陷入局部最优解的问题，提出了一种改进粒子群优化算法，通过优化粒子的速度和位置更新公式，解决了传统粒子群算法收敛速度慢，容易陷入局部最优解的问题。这种新的算法不仅加快了收敛速度，也平衡了整体和局部的搜寻能力。然后，基于J-A模型对变压器进行剩磁预测，搭建变压器空载合闸实验平台，使用PSCAD/EMTDC搭建结合J-A模型和经典变压器的仿真模型，在不同的合闸角度下预测变压器的剩磁。最后，将仿真与实际实验录波数据相结合，通过比较励磁涌流的峰值验证了剩磁预测的准确性。

Abstract

Using circuit breaker to achieve phase-controlled switching of transformer is an effective measure to reduce inrush current. The core of phase-controlled closing is to obtain the appropriate closing angle based on the remanent flux after opening. In the context of remanence prediction

the voltage integration method has the problem that the upper integration limit is difficult to determine

while the Jiles-Atherton(J-A)model has the advantages of clear physical meaning of parameters and accurate calculation. First

to address the problems of slow covergence and a tendency to fall into local optimal solutions in the particle swarm optimization(PSO)algorithm currently used for extracting J-A model parameters

an improved particle swarm-optimization algorith is proposed. By optimizing the velocity and position update formulas of the particles

the issue of slow convergence and susceptibility to local optima in the traditional PSO algorithm are resolved.This new algorithm not only accelerates the convergence speed but also balances the global and local search capabilities.Then

the remanence prediction of the transformers is carried out based on J-A model. A transformer no-load closing exprimental platform is established

and a simulation model combining the J-A model and the classifical transformer model is built using PSCAD/EMTDC to predict the remanence flux under difefrent closing angles.Finally

the accuracy of remanence prediction is verified by comparing the peak value of inrush current by way of combining simulation with experimental recorded data.

关键词

Keywords

references

夏聆峰,孙向飞,何俊伟,等.换流变压器励磁涌流研究[J].云南电力技术,2016,44(1):1-5.

Xia Lingfeng,Sun Xiangfei,He Junwei,et al. Research on inrush current of converter transformer[J].Yunnan Electric Power,2016, 44(1):1-5.

周余.变压器励磁涌流及其抑制方法研究[J].电气技术与经济,2024(2):166-168.

Zhou Yu.Research on transformer excitation inrush current and its suppression methods[J].Electrical Equipment and Economy,2024 (2):166-168.

龙启,杨旭,薛淑鹏,等.基于圆坐标表征法的换流变压器励磁涌流辨识研究[J].电力系统保护与控制,2025,53(9):118-129.

Long Qi,Yang Xu,Xue Shupeng,et al.Research on identification of converter transformer inrush current based on circular coordinate representation method[J].Power System Protection and Control,2025,53(9):118-129.

容春艳,胡诗尧,李腾,等.高压内置型高阻抗变压器励磁涌流特性分析及工程计算[J].电测与仪表,2025,62(1):217-224.

Rong Chunyan,Hu Shiyao,Li Teng,et al.Analysis and engineering calculation of excitation inrush current characteristics of high voltage built-in high impedance transformer[J].Electrical Measurement & Instrumentation,2025,62(1):217-224.

栾云飞,张禄亮,季天瑶,等.基于直方图和余弦相似度的光伏电站主变压器励磁涌流识别[J].电测与仪表,2025,62(7):181-189.

Luan Yunfei,Zhang Luliang,Ji Tianyao,et al.Histogram and cosine similarity based magnetizing inrush current identification for main transformer in photovoltaic power station[J].Electrical Measurement&Instrumentation,2025,62(7):181-189.

戚沁雅,曹伯仲,安义,等.基于改进Prony算法的配电变压器群励磁涌流多特征综合辨识方法[J].电力科学与技术学报, 2024,39(6):69-78.

Qi Qinya,Cao Bozhong,An Yi,et al.Comprehensive multi-feature identification method of magnetizing inrush current in distribution transformers based on improved Prony algorithm[J].Journal of Electric Power Science and Technology,2024,39(6):69-78.

Sung B C,Kim S.Accurate transformer inrush current analysis by controlling closing instant and residual flux[J].Electric Power Systems Research,2023(223):109638.

胡凯波,崔娜. 500 kV变压器的励磁涌流与抑制方法[J].电工材料,2019(4):36-39.

Hu Kaibo,Cui Na. Research on inrush current of 500 kV transformer and its suppression method[J].Electrical Engineering Materials,2019(4):36-39.

吴华林.变电站投运变压器和应涌流案例及抑制方法研究[J].变压器,2025,62(3):66-75.

Wu Hualin.Case and suppression method study of sympathetic inrush current in substation transformers operation[J].Transformer, 2025,62(3):66-75.

王洋.变压器铁心剩磁预测研究[D].济南:山东大学,2017.

Wang Yang. Research on residual magnetism prediction of transformer iron core[D].Jinan:Shandong University,2017.

彭涛.变压器剩磁变化规律及励磁涌流抑制研究[D].武汉:华中科技大学,2017.

Peng Tao. Research on the variation law of residual magnetism in transformers and the suppression of excitation inrush current[D].Wuhan:Huazhong University of Science and Technology,2017.

Xie Weijie,Xiao Fan,Tu Chunming,et al. Suppression strategy for the inrush current of a solid-state transformer caused by the reclosing process[J].Protection and Control of Modern Power Systems,2023,8(1):53.

任静. JA/SW三维混合磁滞模型理论及仿真研究[D].天津:河北工业大学,2010.

Ren Jing. Theoretical and simulation study on JA/SW three dimensional hybrid hysteresis model[D].Tianjin:Hebei University of Technology,2010.

罗炜,陈煜敏,钱海,等.基于分数阶导数理论的高频变压器铁心动态J-A磁滞模型[J].供用电,2024,41(6):90-96.

Luo Wei,Chen Yumin,Qian Hai,et al.Dynamic J-A hysteresis model of high frequency transformer core based on fractional derivative theory[J].Distribution & Utilization,2024,41(6):90-96.

林峻宁,严柏平,冯浩文,等.基于模拟退火改进PSO算法的J-A磁滞模型参数辨识[J].变压器,2024,61(2):26-34.

Lin Junning, Yan Baiping, Feng Haowen, et al.Parameter identification of J-A hysteresis model based on hybrid algorithms of SA and improved PSO[J].Transformer,2024,61(2):26-34.

韩霄,陈浩天,周佳,等.变压器分闸对铁心剩磁的影响研究[J].浙江电力,2025,44(2):103-109.

Han Xiao,Chen Haotian,Zhou Jia,et al.Research on the impact of transformer switching-off on core residual magnetism[J].Zhejiang Electric Power,2025,44(2):103-109.

王洋,刘志珍.基于蛙跳模糊算法的Jiles Atherton铁心磁滞模型参数确定[J].电工技术学报,2017,32(4):154-161.

Wang Yang,Liu Zhizhen. Determination of Jiles Atherton core hysteresis model parameters based on fuzzy-shuffled frog leaping algorithm[J].Transactions of China Electrotechnical Society, 2017,32(4):154-161.

郝晓亮,叶美盈.基于粒子群优化算法的Jiles-Atherton磁滞模型参数计算[J].浙江师范大学学报(自然科学版),2015,38(2):133-141.

Hao Xiaoliang,Ye Meiying. Parameter calculation of the Jiles-Atherton hysteresis model using particle swarm optimization algorithm[J].Journal of Zhejiang Normal University(Natural Sciences),2015,38(2):133-141.

Das S,Santra T,Choudhury A B,et al. Transient modeling and performance analysis of a passive magnetic fault current limiter considering JA hysteresis model[J].Electric Power Components and Systems,2019,47(5):396-405.

Lu Hailiang,Wen Xishan,Lan Lei,et al. A self-adaptive genetic algorithm to estimate JA model parameters considering minor loops[J].Journal of Magnetism and Magnetic Materials,2015(374):502-507.

王红斌,方健,张敏,等.基于邻域保持嵌入—主成分分析的配电变压器合闸涌流波形特征检测[J].电工电能新技术, 2024,43(2):29-38.

Wang Hongbin,Fang Jian,Zhang Min,et al. Closing surge waveform feature detection of distribution transformer based on neighborhood preserving embedding-principal component method[J].Advanced Technology of Electrical Engineering and Energy, 2024,43(2):29-38.

Key S,Son W G,Nam R S. Deep learning-based algorithm for internal fault detection of power transformers during inrush current at distribution substations[J].Energies,2024,17(4):963.

杨廷志,杨志航,邓家洪,等.基于粒子群优化算法的电缆中间头故障智能识别仿真研究[J].粘接,2024,51(1):137-140.

Yang Tingzhi,Yang Zhihang,Deng Jiahong,et al. Simulation study on intelligent identification of cable intermediate head fault based on particle swarm optimization algorithm[J].Adhesion,2024,51 (1):137-140.

吴俊俊,宋刚,卢彬芳.基于粒子群优化算法的特高压输电线路覆冰不平衡张力计算[J].浙江电力,2019,38(3):59-64.

Wu Junjun,Song Gang,Lu Binfang. Calculation of unbalanced tension of iced UHV transmission line based on particle swarm optimization[J].Zhejiang Electric Power,2019,38(3):59-64.

张启民,谢庆峰,张良县.基于粒子群优化算法的特高压换流变压器静电板结构优化设计[J].变压器,2016,53(8):1-5.

Zhang Qimin,Xie Qingfeng,Zhang Liangxian. Optimal design of static plate in EHV converter transformer based on PSO algorithm[J].Transformer,2016,53(8):1-5.

戈文祺.电力变压器铁心剩磁的仿真、测量与削弱[D].天津:河北工业大学,2014.

Ge Wenqi. Simulation,measurement,and weakening of residual magnetism in power transformer iron core[D].Tianjin:Hebei University of Technology,2014.

Sima Wenxia,Zou Mi,Yang Ming,et al. Saturable reactor hysteresis model based on Jiles-Atherton formulation for ferroresonance studies[J].International Journal of Electrical Power & Energy Systems,2018,(101):482-490.

刘文博.变压器励磁涌流的形成机理与仿真实验[J].湖南工业职业技术学院学报,2015,15(4):14-16.

Liu Wenbo. Fomation mechanism and simulation of excitation inrush current of transformer[J].Journal of Hunan Industry Polytechnic,2015,15(4):14-16.

那晋豪.基于剩磁预测的变压器励磁涌流研究[D].沈阳:沈阳工业大学,2019.

Na Jinhao. Research on transformer excitation inrush based on residual magnetism prediction[D].Shenyang:Shenyang University of Technology,2019.

刘玉,张晶焯,鲁海亮,等.变压器空载合闸励磁涌流试验和仿真分析[J].高压电器,2017,53(10):117-123.

Liu Yu,Zhang Jingchao,Lu Hailiang,et al. Excitation inrush current test and simulation analysis of transformer in no-load closing switching[J].High Voltage Apparatus,2017,53(10):117-123.

董小飞.基于非同步预充磁策略的混合变压器励磁涌流抑制技术研究[D].合肥:合肥工业大学,2022.

Dong Xiaofei. Research on excitation inrush suppression technology for hybrid transformers based on non synchronous pre magnetization strategy[D].Hefei:Hefei University of Technology,2022.

程新博,张玥璇,陈承,等.分闸变压器时铁心磁轨迹反演及剩磁产生[J].变压器,2024,61(3):14-19.

Cheng Xinbo,Zhang Yuexuan,Chen Cheng,et al. Magnetic track inversion and remanence generation of iron core when switched off transformer[J].Transformer,2024,61(3):14-19.

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