基于行波模态分解的柔性直流配电网故障测距方法  

Fault Location Method for MMC-DCDS Based on Traveling Wave Mode Decomposition

作　　者：陈宇迪 邓祥力 CHEN Yudi;DENG Xiangi(School of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海电力大学电气工程学院,上海200090

出　　处：《上海电力大学学报》2025年第1期50-58,共9页Journal of Shanghai University of Electric Power

摘　　要：模块化多电平换流器(MMC)柔性直流配电网暂态过程复杂,故障测距难度大。针对现有的基于变分模态分解(VMD)的故障测距算法中测距精度受模态参数影响、行波波速受线路参数影响等问题,提出了一种基于改进的变分模态分解和Teager能量算子(TEO)的双端行波故障测距方法。首先,分析了双端柔性直流配电网故障电压行波传播特性。其次,利用减法平均优化(SABO)算法确定分解参数,并利用改进的VMD提取时频特征。然后,采用TEO分析瞬时能量谱,标定首行波和折射波波头,实现故障定位。最后,利用PSCAD/EMTDC软件搭建了仿真模型进行验证。验证结果表明,该方法基本不受波速变化、过渡电阻、故障位置和噪声的影响,测距精度较高。The fault location is a challenging task in MMC-DCDS because of their complex fault transient characteristics.In the existing fault location algorithm using VMD,the accuracy of fault location is greatly affected by the parameters of VMD,and the traveling wave speed is influenced by line parameters.To address these issues,this paper proposes a two-terminal fault location method using traveling wave based on the improved VMD-TEO.Firstly,the wave propagation characteristics of fault voltage is analysed in the two-terminal MMC-DCDS.Baesd on the line-mode fault current with minimal attenuation,SABO is used to determine the VMD parameters.Then the time-frequency characteristics are extracted by a improved VMD algorithm.Subsequently,TEO is utilized to analyze instantaneous energy spectrum for calibrating the arrival time of first traveling wave and refraction wave to achieve accurate fault location.Finally,the simulation model is built in PSCAD/EMTDC for verification.The results demonstrate that this method exhibits strong robustness with variations in wave speed,transition resistance,fault location and noise interference.And it has high fault location accuracy.

关 键 词：柔性直流配电网 变分模态分解 TEAGER能量算子 故障测距 

分 类 号：TM773[电气工程—电力系统及自动化]