摘要
提出了基于希尔伯特-黄变换(hilbert-huang transform,HHT)以及熵权法(entropy weight method,EWM)的输电线路雷击特征提取与类型识别方法,采用经验模式分解算法(empirical mode decomposition,EMD)对雷电反击与雷电绕击导致的故障波进行分解,依据HHT与EWM提取并对比雷电反击与雷电绕击的能量权重系数,实现雷击类型的识别。数据分析结果表明:雷电反击首个固有模态函数的能量权重系数总在40%以上;而绕击则在40%以下。
This paper proposes a lightning strike feature extraction and type identification method for transmission lines based on the Hilbert-Huang transform(HHT)and entropy weight method(EWM).The empirical mode decomposition(EMD)algorithm is used to decompose the fault waves of lightning back flashover and lightning shielding failure.According to the HHT and EWM,the energy weight coefficient of the lightning back flashover and lightning shielding failure are extracted and compared to realize the identification of lightning strike types.The data analysis shows that the energy weight coefficient of the first natural mode function of lightning back flashover is always above 40%,while that of lighting shielding failure is below 40%.
作者
王文豪
张宁
刘法亮
贺孚威
杨国华
王晶
贺博
WANG Wenhao;ZHANG Ning;LIU Faliang;HE Fuwei;YANG Guohua;WANG Jing;HE Bo(Pinggao Group Co.,Ltd.,Pingdingshan 467000,Henan,China;School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710049,Shaanxi,China;State Grid Huzhou Power Supply Company,Huzhou 313000,Zhejiang,China;State Grid Xi’an Power Supply Company,Xi’an 710018,Shaanxi,China)
出处
《电网与清洁能源》
CSCD
北大核心
2023年第7期27-34,43,共9页
Power System and Clean Energy
基金
国家自然科学基金项目(61571357)。
关键词
输电线路
雷击类型识别
希尔伯特-黄变换
熵权法
transmission lines
lightning strike type identification
Hilbert-Huang transform
entropy weight method
