摘要
针对强噪声背景下行波信号提取难的现状,提出一种基于变分模态分解VMD(variational mode decomposi?tion)算法和S变换的故障行波提取法。通过对故障行波信号进行VMD分解,利用S变换分析得到故障突变点来确定故障行波达到时刻。针对行波波速和线路长度的不确定性,利用故障行波的传输过程和零线模分量,提出一种与波速无关的双端定位算法。基于故障前线路距离差值和故障后线路距离差值建立故障分支判定矩阵,提出一种适用于多端输电线路的故障定位方法,利用故障支路端的列元素计算故障位置。仿真结果验证所提方法在强噪声干扰下能有效提取行波信号,故障定位算法相比现有多端输电线路故障定位法有明显优势,进一步提高了定位精度。
Considering that the traveling wave signal with strong noises is difficult to extract , a fault traveling wave extraction method based on variational mode decomposition ( VMD ) and S transform is proposed. The fault traveling wave signal is decomposed by VMD , then the fault break point is obtained by S transform to determine the arriving time of fault traveling wave. In light of the uncertainties of fault traveling wave velocity and line length , a two-terminal location method is proposed based on the transmission process of fault traveling wave and zero line mode component , which is not affected by the traveling wave velocity. Based on the differences in line distance before and after fault , a fault branch determination matrix is established;the corresponding determination principle is proposed , and the fault location is calculated by using the column elements of the fault branch terminal. Simulation results show that the method proposed in this paper can effectively extract the traveling wave signal with strong noise interference;compared with the existing fault location method for multi-terminal transmission lines , the proposed fault location method has obvious advantages , which further improves the location accuracy.
作者
谢李为
柳祎璇
曾祥君
毛宇
XIE Liwei;LIU Yixuan;ZENG Xiangjun;MAO Yu(School of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410114,China;School of Economics and Management,Changsha University of Science andTechnology,Changsha 410114,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2019年第2期126-134,共9页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(51425701
61233008)
国家重点研发计划资助项目(2016YFB0900605
2017YFB0902903)
湖南省重点研发计划资助项目(2016GK2013)
关键词
行波检测
变分模态分解
S
变换
多端输电线路
故障定位
traveling wave detection
variational mode decomposition
S transform
multi-terminal transmission line
fault location
