| 基于小波神经网络的超高压输电线路行波测距保护研究 |
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| 引用本文： | 肖辉,宋弘,吴浩. 基于小波神经网络的超高压输电线路行波测距保护研究[J]. 四川理工学院学报(自然科学版), 2010, 23(3): 328-330 |
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| 作者姓名： | 肖辉 宋弘 吴浩 |
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| 作者单位： | 四川理工学院自动化与电子信息学院,四川,自贡,643000 |
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| 基金项目： | 人工智能四川省高校重点实验室项目 |
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| 摘 要： | 针对超高压输电线路的超高速保护而建立人工神经网络模型,将输电线路行波信息和高频暂态电流信号经小波变换数据预处理,并提取相关时域和频域特征值之后作为分布式神经网络的输入,以通过人工神经网络来准确识别线路故障类型、故障位置,为实现保护的超高速动作提供判据。
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| 关 键 词： | 小波变换 行波信息 超高速保护 |
Study of EHV Transmission Line Traveling Wave Distance Protection Based on Wavelet Neural Networks |
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| XIAO Hui,SONG Hong,WU Hao. Study of EHV Transmission Line Traveling Wave Distance Protection Based on Wavelet Neural Networks[J]. Journal of Sichuan University of Science & Engineering(Natural Science Editton), 2010, 23(3): 328-330 |
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| Authors: | XIAO Hui SONG Hong WU Hao |
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| Abstract: | Artificial neural network model is established for ultra-high speed protection on EHV transmission lines,we extract relevant time-domain and frequency domain characteristics to be a distributed neural network input after traveling wave information and high-frequency transient signals are pre-processed by wavelet transformation.The fault types and location on EHV transmission lines should be identified accurately through artificial neural network,then it can provide some protection criterion to achieve ultra-high-speed action. |
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| Keywords: | wavelet traveling wave information uitra-high speed protection |
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