基于小波包提取算法和相关分析的电缆双端行波测距  被引量:22

Double terminal traveling wave fault location for cable based on the wavelet packet extraction algorithm and correlation analysis

在线阅读下载全文

作  者:周湶[1] 卢毅[1] 廖瑞金[1] 杜林[1] 

机构地区:[1]重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆400030

出  处:《电力系统保护与控制》2012年第1期1-4,共4页Power System Protection and Control

基  金:国家创新研究群体基金(51021005);973计划(2009CB724507)~~

摘  要:由于故障行波传播色散的影响,确定行波到达时刻和选择行波波速一直是电缆行波测距的难题。针对以上两个问题,提出了基于小波包提取算法和相关分析的电缆双端行波故障测距方法。将故障行波信号通过小波包分解为不同的频段,提取能量相对集中的频段进行小波包重构。用相关分析方法确定两端重构波形的时间差,再结合该频段的波速,即能精确确定故障位置。通过对实验结果的分析表明,所提出的方法提高了测距精度,是有效的。Because of the influence of the transmission dispersion of fault traveling wave, the detection of traveling wave arriving time and the selection of traveling wave velocity are two difficulties in traveling wave fault location of cable. For the above two difficulties, a new fault location method based on the wavelet packets extraction algorithm and correlation analysis algorithm is presented. By utilizing the theory of wavelet packet decomposition, traveling wave is decomposed into different frequency sections, extracting the frequency band signal with energy concentrated for wavelet packet reconstruction. The correlation analysis is carried out to calculate the time difference of the reconstructed wave at two terminals, and combining with the velocity of this frequency band, the accurate fault location is figured out. The experiment results indicate both the validity and the high precision of this algorithm.

关 键 词:故障测距 色散特性 小波包 相关分析 频段 

分 类 号:TM755[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