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基于动态模态分解-自适应变步长油浸式电力变压器绕组瞬态温升快速计算方法 被引量:1

Research on Rapid Calculation Method of Transient Temperature Rise of Winding of Dynamic Mode Decomposition-Adaptive Time Stepping Oil-Immersed Power Transformer
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摘要 为了改善当前油浸式电力变压器绕组瞬态温升计算过慢的问题,该文结合动态模态分解法和自适应变步长法提出了一种动态模态分解(DMD)-自适应变步长(ATS)快速计算方法。首先,该方法引入了动态模态分解算法,利用动态系统中前若干时步提取得到的变化特征,近似拟合其后一段时间内的系统变化,并通过选取主模态降低计算时间。其次,为了提高DMD算法性能,进一步提出结合ATS方法,通过自适应调整计算步长,提高瞬态计算效率;为了验证算法的计算精度和效率,建立了八分区分匝绕组数值传热模型并在此基础上将该文所提算法与仿真软件Fluent的计算结果进行对比,结果表明,在计算精度方面,二者结果几乎一致,计算误差最大不超过0.3 K;对于计算效率,该文算法的总计算时间为5.99 s,仅为Fluent总计算时间的1/89,且算法时间步数仅为Fluent的4.7%。最后,为了验证DMD-ATS算法的工程实用性,基于产品级油浸式电力变压器绕组结构搭建温升实验平台,并将所提算法计算结果与实验结果进行对比,结果表明所提算法在各测量线饼的误差均处在可接受的范围内,最大误差仅为4.57 K,且包含预处理时间在内的计算时间仅为69.14 s,计算时步仅需17步,较当前主流的计算方法效率有明显提高。综合算法的精度和效率,充分说明所提算法具有一定工程价值。 In response to the current problem of slow calculation of transient temperature rise in oil-immersed power transformer windings,this paper proposes a dynamic mode decomposition(DMD)-adaptive time stepping(ATS)fast calculation strategy combined with dynamic mode decomposition method and adaptive variable step size method.Firstly,a dynamic mode decomposition algorithm is introduced using change features from the first few steps in the dynamic system to approximate the system changes over a period of time.The calculation time is reduced by selecting the primary mode and retaining the main change features of the system.The dynamic evolution rules of the system are obtained by decomposing the observation data of complex systems.Thus,rapid prediction of winding temperature rise is achieved.Secondly,this paper integrates the DMD theory and the ATS method to optimize the number of transient calculation steps.Adjusting the adaptive step size in transient calculation reduces the number of calculation steps,thereby reducing the overall transient calculation time.A numerical heat transfer model is established for the eight-zone split turn winding.The results of the proposed algorithm and the Fluent simulation are almost identical,with a maximum calculation error of no more than 0.3 K at the monitoring point position.The total computational time of the proposed algorithm is 5.99 seconds,only 1/89 of the Fluent simulation.Moreover,the time steps of the DMD-ATS algorithm for transient processes are only 4.7%of that of the Fluent simulation,indicating that the adaptive step size adjustment can effectively accelerate the transient calculation process.Finally,a temperature rise experimental platform is constructed based on the winding structure of oil-immersed power transformers.The temperature rise of the windings under operating conditions is measured,and the calculation results are compared with the experimental results.The maximum error in the field domain appears at 4.57 K,and the maximum average error is 3.46K,within an acceptable range throughout the entire temperature rise process.The proposed algorithm has a calculation time of 2.53 seconds and a preprocessing time of 66.61 seconds.Due to the combination of the ATS adaptive variable step-size method,the simulation time of 14410-27580 seconds is reduced from 1317-time steps to only 17-time steps.The computational efficiency is improved compared to traditional physical field numerical algorithms,which verifies the engineering application value of the proposed algorithm.This paper provides a new approach for rapidly calculating transient temperature rise in the windings of oil-immersed power transformers.
作者 刘刚 郝世缘 朱章宸 高成龙 刘云鹏 Liu Gang;Hao Shiyuan;Zhu Zhangchen;Gao Chenglong;Liu Yunpeng(Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense,North China Electric Power University,Baoding,071003,China)
出处 《电工技术学报》 EI CSCD 北大核心 2024年第12期3895-3906,共12页 Transactions of China Electrotechnical Society
基金 国家重点研发计划(2021YFB2401700) 中央高校基本科研业务费专项资金(2022MS073)资助项目。
关键词 动态模态分解 自适应变步长 主模态选取 瞬态温升问题 Dynamic mode decomposition adaptive variable step size main mode selection transient temperature rise problem
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