一种特高压直流输电线路神经网络双端故障测距新方法

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摘要提出一种基于高频量衰减特性的特高压直流输电线路神经网络双端故障测距方法。传统基于高频量衰减特性的特高压直流输电线路双端测距方法的测距精度依赖于线路衰减常数的准确求取,但准确计算线路衰减常数是一个难题。人工神经网络具有很强的非线性逼近拟合能力,利用人工神经网络方法,将不必准确计算线路衰减常数也能准确实现故障定位。选取不同频带内整流侧和逆变侧测距装置处检测到的故障电压行波线模分量高频部分首波头幅值比作为BP神经网络的输入样本集,故障距离作为输出样本集,对神经网络进行训练、测试,形成直流输电线路故障测距神经网络模型,将反映故障位置的特征数据输入训练后的网络模型即可实现故障测距。大量仿真结果表明：该基于高频量衰减特性的特高压直流输电线路神经网络双端故障测距方法精度较高,而且耐受过渡电阻能力强。

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	陈仕龙
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	高超

关键词 ：特高压直流, 高频量衰减特性, 双端故障测距, 故障行波首波头, 神经网络

Abstract：A novel two terminal fault location method used ANN for UHVDC transmission line based on the attenuation characteristic of signals with high frequency is proposed. The precision of traditional fault location method for UHVDC transmission line based on the attenuation characteristic of signals with high frequency depends on the accuracy of attenuation constant of transmission line, but it is difficult to compute that accurately, ANN that is a good tool for non-linear data modeling and non-linear function curve-fitting is selected to solve the aforementioned problems. The ratios of amplitude of initial traveling wave head of the aerial mode component of voltage traveling wave with high frequency in rectifier side to which in the inverter side of each wavelet level are chosen as the inputs and fault distance as the outputs for training and testing the neural network for fault location in the UHVDC transmission line, and fault distance can be obtained when input fault characteristic data to the trained model. A variety of transmission line fault situation are simulated based on the PSCAD, and this proposed two terminal fault location method used ANN for UHVDC transmission line based on the attenuation characteristic of signals with high frequency shows satisfactory performance.

Key words： UHVDC the attenuation characteristics of high frequency signal two terminal fault location initial traveling wave head ANN

收稿日期: 2014-03-31 出版日期: 2015-04-13

PACS:

TM77

基金资助:国家自然科学基金（51267008）,特高压工程技术（昆明、广州）国家工程实验室开放基金（NEL201415）和昆明理工大学校人培基金（kkz3201304019）资助项目

作者简介: 陈仕龙男,1973年生,博士,副教授,研究方向为高压直流输电线路继电保护。谢佳伟男,1987年生,硕士研究生,研究方向为高压直流输电线路继电保护。

引用本文:

陈仕龙,谢佳伟,毕贵红,张杰,张文英,高超. 一种特高压直流输电线路神经网络双端故障测距新方法[J]. 电工技术学报, 2015, 30(4): 257-264. Chen Shilong,Xie Jiawei,Bi Guihong,Zhang Jie,Zhang Wenying,Gao Chao. A Novel Two Terminal Fault Location Method Used ANN for UHVDC Transmission Line. Transactions of China Electrotechnical Society, 2015, 30(4): 257-264.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2015/V30/I4/257

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