电力系统保护与控制2024，Vol.52Issue(8)：31-44,14.DOI:10.19783/j.cnki.pspc.230947
基于电压行波波形特征的柔性直流输电线路雷击识别方法
Lightning interference identification method based on voltage traveling wave waveform characteristics for flexible DC transmission lines
摘要
Abstract
The speed requirement for the main protection of the MMC-HVDC system is extremely high.The introduction of a large number of high-frequency transient signals after the line is disturbed by lightning strikes can easily lead to misoperation of line protection.To solve this problem,this paper first analyzes the characteristics of a line voltage traveling wave after lightning strike according to the propagation law of traveling waves.The characteristic difference between lightning disturbance and fault is obtained.When lightning disturbance occurs,the polarity of the wave head does not change after the voltage traveling waves is reflected by the line boundary during the transient process,and the time interval between the traveling waves head and the line boundary is large;when the lightning fault occurs,the polarity of the voltage traveling waves changes after being reflected by the fault point,and the time interval between the traveling waves head and the line boundary is small.Then,based on voltage traveling waveform features,a lightning interference identification method combining long and short windows is proposed.Finally,the proposed method is validated using PSCAD/EMTDC electromagnetic transient simulation software.The results show that the proposed lightning interference identification scheme can quickly,reliably,and accurately identify lightning interference and fault conditions,independent of the location of lightning strikes,line parameters,lightning current parameters,and noises.关键词
柔性直流输电/雷击干扰识别/行波极性特征/行波时间特征/可靠性Key words
flexible DC transmission/lightning interference identification/traveling wave polarity characteristics/traveling wave time characteristics/reliability引用本文复制引用
王艳婷,莫文斌,白明远,梁栋,贾嵘..基于电压行波波形特征的柔性直流输电线路雷击识别方法[J].电力系统保护与控制,2024,52(8):31-44,14.基金项目
This work is supported by the Postdoctoral Science Foundation of China(No.2021M690126). 中国博士后科学基金项目资助(2021M690126) （No.2021M690126）
陕西省科技厅项目资助(2021JQ-482) （2021JQ-482）
