| 基于小波神经网络的变压器励磁涌流和内部故障电流识别 |
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| 引用本文： | 王莉丽,荣雅君. 基于小波神经网络的变压器励磁涌流和内部故障电流识别[J]. 电力系统保护与控制, 2003, 31(7): 20-22,53 |
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| 作者姓名： | 王莉丽 荣雅君 |
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| 作者单位： | 燕山大学电气工程学院电力工程系，河北 秦皇岛 066004 |
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| 摘 要： | 小波神经网络 (WaveletNeuralNetwork)结合了小波变换及神经网络的优点 ,即具有良好的时频局部性质 ,又有较好的自学习能力和容错能力。针对变压器励磁涌流与内部故障电流的识别问题 ,提出了一种基于小波神经网络的解决方案 ,阐述了基本的思想方法和具体的算法过程 ,EMTP仿真实验表明了该方案的有效性与可行性。
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| 关 键 词： | 小波神经网络 励磁涌流 变压器保护 |
| 文章编号： | 1003-4897(2003)07-0020-03 |
Discrimination between inrush current and internal fault current of transformer based on wavelet neural network |
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| WANG Li li,RONG Ya jun. Discrimination between inrush current and internal fault current of transformer based on wavelet neural network[J]. Power System Protection and Control, 2003, 31(7): 20-22,53 |
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| Authors: | WANG Li li RONG Ya jun |
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| Abstract: | Wavelet Neural Network(WNN)shows the advantages of both the Wavelet and Neural Network,which has the characteristic of local time frequency analysis and the capability of self learning and error tolerance.A method based on WNN is firstly proposed in this paper,which deals with the discrimination between inrush current and internal fault current of transformer.The fundamental idea of the FNN and specific algorithm are given.The simulation results of EMTP are presented,which validate the effectiveness and feasibility of the proposed scheme. |
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| Keywords: | WNN inrush current transformer protection |
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