基于数学形态学的配电网单端行波故障测距  被引量:8

Single-Terminal Traveling Wave Fault Location for Distribution Network Based on Mathematics Morphology Theory

在线阅读下载全文

作  者:蔡秀雯[1] 谭伟璞[1] 杨以涵[1] 

机构地区:[1]华北电力大学电气工程学院,北京102206

出  处:《现代电力》2006年第6期25-29,共5页Modern Electric Power

摘  要:随着配电网网架的加强,线路增长,分支线路增多,线路变得复杂,用传统的巡线方法找出具体故障点的位置非常困难。开展配电线路故障测距技术的研究具有重大意义。由于配电网有大量分支,利用行波进行配电网故障测距时,接地故障点的反射波混杂在由线路的分支节点和许多端点造成的众多反射信号中。通常的方法很难识别出来自故障点的反射信号。因此,排除噪声干扰并提取有用的行波信号是精确测距的关键。在现有的行波测距原理的基础上,提出了基于数学形态学的配电网行波故障测距方案。在利用数学形态学对采集到的行波数据进行滤波后,利用多分辨形态梯度变换提取行波波头的模极大值,进而确定故障点。通过仿真分析和现场算例分析,验证了该方案的可行性。With the reinforce of distribution networks, the increase of lines, the increase of branches, lines become more complex, it is very difficult to use traditional methods to find out the location of specific fault point, it has significant meaning to develop the research of fault location technology of distribution lines. Since distribution networks have plenty of branches, when carrying out traveling wave fault location for distribution network, the reflection wave of earth fault point is mixed in the numerous reflection signals that are caused by a lot of the branch points and end points of lines. It is hard to identify the reflection signal that is counted from fault point by using usual methods. Therefore, excluding the disturbance of noise and drawing the useful signal of traveling wave are the key of fault location. On the basis of single-terminal traveling wave fault location, a method of traveling wave fault location for distribution networks based on Morphology Mathematics is proposed. After utilizing Morphology Mathematics to filter the wave signals, the modulus maximum of wave fronts are extracted by multiresolution morphological gradient transform. And then the fault location can be determined. The results of simulation by ATP - EMTP and site examples verify the feasibility of this method.

关 键 词:数学形态学 行波 测距 配电网 单端 

分 类 号:TM727[电气工程—电力系统及自动化]

 

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