基于FIMD和Hilbert变换的高压输电线路行波故障定位方法  被引量:15

Traveling wave fault location method for high voltage transmission lines based on FIMD and Hilbert transform

在线阅读下载全文

作  者:赵海龙 王鑫红 高昌龙 Zhao Hailong;Wang Xinhong;Gao Changlong(Electric Power Research Institute of Hainan Power Grid Corporation Ltd.,Haikou 570311,China;Key Laboratory of Physical and Chemical Analysis for Electric Power of Hainan Province,Haikou 570311,China)

机构地区:[1]海南电网有限责任公司电力科学研究院,海口570311 [2]海南省电网理化分析重点实验室,海口570311

出  处:《电测与仪表》2020年第18期77-82,89,共7页Electrical Measurement & Instrumentation

基  金:中国南方电网有限责任公司科技项目(073000KK52180005)。

摘  要:针对传统高压输电线路行波故障定位精度差且易受行波波速影响等问题,文中提出了一种新型基于快速本征模态分解算法(Fast Intrinsic Mode Decomposition,FIMD)和希尔伯特(Hilbert)变换的高压输电线路行波故障定位方法。该方法采用FIMD对暂态行波信号进行分解以提取固有模态分量,并利用Hilbert变换对其进行频谱分析,进而实现对行波波头的检测。在此基础上,结合行波的传播路径及其测距原理,提出高压输电线路行波故障定位新算法。最后,在PSCAD/EMTDC中搭建某实际500 kV双端输电线路模型,验证了所提方法的可行性和有效性。Aiming at the problems of poor traveling wave fault location accuracy and vulnerability to traveling wave velocity in traditional high voltage transmission lines,a new traveling wave fault location method for high voltage transmission lines based on fast intrinsic mode decomposition(FIMD)and Hilbert transform is proposed in this paper.In this method,FIMD is used to decompose the transient traveling wave signal to extract the inherent modal components,and Hilbert transform is used to analyze the frequency spectrum of the transient traveling wave,so as to realize the detection of the traveling wave head.On this basis,a new trave ling wave fault location algorithm for high voltage transmission lines is proposed based on the traveling wave propagation path and its location principle.Finally,a practical 500 kV two-terminal transmission line model is built in PSCAD/EMTDC,which verifies the feasibility and effectiveness of the proposed method.

关 键 词:HILBERT变换 行波波头 行波测距 故障定位 

分 类 号:TM933[电气工程—电力电子与电力传动]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象