摘要
为了解决多分支配电网在故障行波微弱时行波波头标定困难和传统行波定位法无法适应多分支复杂结构的问题,提出一种基于多分辨率奇异值分解(MRSVD)-变分模态分解(VMD)的行波波头检测方法和一种基于行波到达时刻的多分支配网故障定位方法。利用MRSVD对微弱行波进行降噪处理,以奇异值差值决定分解尺度,然后对降噪后的信号进行VMD分解,并重构中高频段的模态分量,最后用对称差分能量算子(SDEO)标定重构信号的行波波头,获取行波到达时间;利用行波到达时刻构造故障发生时间矩阵,搜索故障所在分支区段,然后构造故障定位时间矩阵,根据线路长度与时间的比值关系,实现精准测距。仿真结果表明,所提方法能有效标定微弱行波波头,实现多分支配网的故障区段定位和精准测距。
In order to solve the problems that it is difficult to calibrate the weak travelling wave head and that the traditional travelling wave location method can not adapt to the multi-branch structure,a wave head detection method based on multi-resolution singular value decomposition(MRSVD)-variational mode decomposition(VMD)and a fault location method based on the arrival times of traveling wave were proposed.MRSVD was used to denoise weak travelling waves,and the singular value difference was used to decide the decomposition scale.Then,VMD decomposition was carried out,and the middle and high frequency component were reconstructed.Finally,symmetric difference energy operator(SDEO)energy operator was used to calibrate the wave head,and the arrival times were obtained.Fault occur time matrix,based on the arrival times of traveling wave,was constructed to locate the fault section.Then fault location time matrix was built to locate the fault point,according to the relationship between line lengths and arrival times.The simulation results show that the proposed method can effectively calibrate the wave head of weak traveling wave and improve the accuracy of fault location in multi-branch distribution network.
作者
吴佳享
孙云莲
陈楚昭
WU Jiaxiang;SUN Yunlian;CHEN Chuzhao(School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)
出处
《电机与控制学报》
EI
CSCD
北大核心
2023年第5期20-27,共8页
Electric Machines and Control
关键词
微弱故障行波
多分辨率奇异值分解
变分模态分解
行波波头标定
多分支配电网
故障定位
weak traveling wave
multi-resolution singular value decomposition
variational mode decomposition
traveling wave head calibration
multi-branch distribution network
fault location
作者简介
通信作者:吴佳享(1998-),男,硕士研究生,研究方向为配电网故障定位;孙云莲(1962-),女,教授,博士生导师,研究方向为电力信息分析;陈楚昭(1998-),男,硕士研究生,研究方向为配电网故障恢复和网络重构。