西华大学学报（自然科学版）2017，Vol.36Issue(6)：23-29,7.DOI:10.3969/j.issn.1673-159X.2017.06.004
基于小波变换和神经网络的线路保护启动方法
Starting Method of Line Protection Based on Wavelet Transform and Neural Network
摘要
Abstract
To meet the requirements of the ultra-high speed protection on UHV transmission lines, this paper proposes a new start-ing algorithm based on wavelet transform and neural network.This algorithm uses the principle that the wavelet transform can detect mutations in the signal and extracts the features of fault signals as the inputs and designs a starting neural network, which can judge the line running state from the output to determine whether start the fault phase selector.By simulating UHV transmission line system in PSCAD, it is proved that the proposed algorithm can detect the fault accurately and output the reliable action quickly.It' s also not in-fluenced by fault resistance, fault location, fault inception angle and noise interference.It has a practical value for ultra-high speed protection of UHV transmission lines.关键词
特高压输电线路/小波变换/神经网络/启动方法/继电保护/超高速保护/特征量提取/形态学滤波Key words
UHV transmission line/wavelet transform/neural network/starting method/relay protection/ultra-high speed protec-tion/feature exaction/morphological filtering分类
信息技术与安全科学引用本文复制引用
肖文龙,王维博,王海滨,刘勇,郑永康..基于小波变换和神经网络的线路保护启动方法[J].西华大学学报（自然科学版）,2017,36(6):23-29,7.基金项目
国家自然科学基金(61571371) （61571371）
教育部"春晖计划"(Z2012026) （Z2012026）
四川省高校重点实验室开放基金(szjj2017 -046) （szjj2017 -046）
四川省电力公司课题(03012841、17209226) （03012841、17209226）
西华大学研究生创新基金(ycjj2017165). （ycjj2017165）
