基于原子能量熵和CSM的配电线路故障分类方法

doi:10.12068/j.issn.1005-3026.2017.01.001

东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (1): 1-5.DOI: 10.12068/j.issn.1005-3026.2017.01.001

• 信息与控制 • 下一篇

基于原子能量熵和CSM的配电线路故障分类方法

宁一，王大志，江雪晨，张翠玲

(东北大学信息科学与工程学院，辽宁沈阳110819)

收稿日期:2015-09-09 修回日期:2015-09-09 出版日期:2017-01-15 发布日期:2017-01-13
通讯作者: 宁一
作者简介:宁一(1988-)，女，辽宁锦州人，东北大学博士研究生; 王大志(1963-)，男，辽宁沈阳人，东北大学教授，博士生导师.
基金资助:
国家自然科学基金资助项目(61433004)；中央高校基本科研业务费专项资金资助项目(N130604001).

A Fault Identification Method for Distribution Lines Based on Atomic Energy Entropy and CSM

NING Yi， WANG Da-zhi， JIANG Xue-chen， ZHANG Cui-ling

School of Information Science & Engineering， Northeastern University， Shenyang 110819， China.

Received:2015-09-09 Revised:2015-09-09 Online:2017-01-15 Published:2017-01-13
Contact: NING Yi
About author:-
Supported by:
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摘要/Abstract

摘要： 针对配电线路上的故障分类问题，提出了一种结合原子能量熵和连续字符串匹配(CSM)的故障分类方法.通过分析故障信号的暂态特征，利用原子分解法得到故障暂态信号的主导原子以及对故障信息进行补充的次级原子，计算原子能量熵作为故障特征量，较完备地描述了故障特征.应用CSM进行故障分类节省了智能算法故障辨识中参数选择和优化的时间，通过建立的编码规则，将故障特征进行编码，搜索故障编码库，最终确定故障类型.通过仿真研究，验证了该算法的可行性与有效性.

关键词: 原子能量熵, 连续字符串匹配, 故障提取, 故障分类, 配电线路

Abstract: :In order to solve the problem of fault classification on distribution lines， a method was proposed in which atomic energy entropy was combined with continuous string matching (CSM). The fault transient feature was analyzed， the dominant atom and the secondary one of fault transient signal were achieved by atom decomposition method， and the secondary one was used to supplement fault information. Atomic energy entropy of each atom was regarded as the fault characteristic value， representing fault feature more completely. Applying CSM fault classification method could save the time spending on selection and optimization of processing parameters in some smart fault identification method， through the establishment of encoding rules， fault features were encoded， and then the fault type was finally confirmed by searching the encoded fault library. A case study of system model showed that the proposed method is feasible and efficient.

Key words: atomic energy entropy, CSM (continuous string matching), fault extraction, fault classification, distribution lines

中图分类号:

TM71

宁一，王大志，江雪晨，张翠玲. 基于原子能量熵和CSM的配电线路故障分类方法[J]. 东北大学学报:自然科学版, 2017, 38(1): 1-5.

NING Yi， WANG Da-zhi， JIANG Xue-chen， ZHANG Cui-ling. A Fault Identification Method for Distribution Lines Based on Atomic Energy Entropy and CSM[J]. Journal of Northeastern University Natural Science, 2017, 38(1): 1-5.

参考文献

[1]Zhang J，He Z Y，Lin S，et al.An ANFIS-based fault classification approach in power distribution system［J］.International Journal of Electrical Power & Energy Systems，2013，49:243-252.
[2]Livani H，Evrenosoglu C Y.A fault classification method in power systems using DWT and SVM classifier［C］//Transmission and Distribution Conference and Exposition (T&D).Orlando:IEEE，2012:1-5.
[3]符玲，何正友，钱清泉.超高压输电线路的故障暂态特征提取及故障类型判断［J］.中国电机工程学报，2010，30(22):100-106.(Fu Ling，He Zheng-you，Qian Qing-quan.Feature extraction of fault transient and fault type determination for EHV transmission lines［J］.Proceedings of the CSEE，2010，30(22):100-106.)
[4]He Z，Lin S，Deng Y，et al.A rough membership neural network approach for fault classification in transmission lines［J］. International Journal of Electrical Power & Energy Systems，2014，61:429-439.
[5]Bezerra C F.Fault-induced transient detection based on real-time analysis of the wavelet coefficient energy［J］.IEEE Transactions on Power Delivery，2014，29(1):140-153.
[6]Samantaray S R.A systematic fuzzy rule based approach for fault classification in transmission lines［J］.Applied Soft Computing，2013，13(2):928-938.
[7]Mallat S G，Zhang Z.Matching pursuits with time-frequency dictionaries［J］.IEEE Transactions on Signal Processing，1993，41(12):3397-3415.
[8]Lovisolo L，da Silva E A B，Rodrigues M A M，et al.Efficient coherent adaptive representations of monitored electric signals in power systems using damped sinusoids［J］.IEEE Transactions on Signal Processing，2005，53(10):3831-3846.
[9]李勋，龚庆武，贾晶晶.采用原子分解能量熵的低频振荡主导模式检测方法［J］.中国电机工程学报，2012，32(1):131-139.(Li Xun，Gong Qing-wu，Jia Jing-jing.A detection method for low frequency oscillation dominant modes based on atomic decomposition energy entropy［J］.Proceedings of the CSEE， 2012，32(1):131-139.)
[10]杨英华，李召，陈永禄，等.基于 CVA-ICA 与 CSM 的故障诊断方法［J］.东北大学学报 (自然科学版)，2012，33(12):1685-1689.(Yang Ying-hua，Li Zhao，Chen Yong-lu，et al.Fault diagnosis based on CVA-ICA and CSM［J］.Journal of Northeastern University(Natural Science)，2012，33(12):1685-1689.)

基于原子能量熵和CSM的配电线路故障分类方法

A Fault Identification Method for Distribution Lines Based on Atomic Energy Entropy and CSM

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