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应用人工神经网络对变压器励磁涌流仿真的研究
引用本文:张忠理,刘万顺,刘建飞,秦立军.应用人工神经网络对变压器励磁涌流仿真的研究[J].现代电力,1994(2).
作者姓名:张忠理  刘万顺  刘建飞  秦立军
作者单位:北京动力经济学院
摘    要:在对变压器励磁涌流的仿真中,变压器铁芯的非线性磁化特性必须加以考虑。本文运用人工神经网络模拟主磁滞回环,以及用线性变化的位移来生成局部磁滞回线的方法,建立铁芯动态非线性磁化过程的计算模型。在此基础上对变压器的励磁涌流进行了仿真,收到了较好的效果。

关 键 词:变压器,人工神经网络,励磁涌流,仿真

A STUDY ON THE APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR SIMULATING THE MAGNETIZING INRUSH CURRENT IN A TRANSFORMER
Zhang Zhongli,Liu Wanshun,Liu Jianfei,Qin Lijun,.A STUDY ON THE APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR SIMULATING THE MAGNETIZING INRUSH CURRENT IN A TRANSFORMER[J].Modern Electric Power,1994(2).
Authors:Zhang Zhongli  Liu Wanshun  Liu Jianfei  Qin Lijun  
Affiliation:Zhang Zhongli;Liu Wanshun;Liu Jianfei;Qin Lijun;
Abstract:in simulating the magnetizing inrush current in a transformer the nonlinear characteristics of magnetization caused by the iron core must be considered.Applying the artificial neural network,the paper simulates the major hysteresis loop,and uses the method of linearization of the displacement to generate a minor hysteresis loop for building a model to calculate the dynamic nonlinear magnetizing process.Based on those studies,the paper proceeds a simulation of magnetizing inrush current of a transformer,and gets good results.
Keywords:transformer  artificial neural network  magnetizing inrush current  simulation
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