基于继电保护同步时序信息特征的配电网故障诊断方法
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摘要
配电网故障后的报警信息存在大量冗余性和不完整性,所以通过故障诊断及时提取出其中的关键故障信息并得出准确的诊断结果对辅助监控人员进行调度工作具有重要意义。相比于仅基于SCADA系统的遥测信息,WAMS系统利用全网同步时钟为故障警报时序信息提供了统一时标基准,给配电网故障诊断带来了新的机遇。在此背景下,本文基于同步时序的SOE信息,提出了一种基于继电保护时序信息特征的配电网故障诊断方法。首先,分析了配电网中继电保护系统中的阶段式时序配合关系,建立了同步SOE信息的时序关系模型和故障位置判断规则。然后,针对配电网线路特点,对粗糙集中的决策表方法进行了改进,得到了泛化能力和实用性更强的故障诊断规则。最后,通过PSCAD平台进行了电磁暂态及诊断方法的仿真,算例结果验证了该诊断方法的准确性和有效性。
There are a lot of redundancy and incompleteness in the alarm information of distribution network after fault,so it is important to extract the key fault information and get accurate diagnosis results through fault diagnosis in time for assisting the supervisor in dispatching work. Compared with the telemetry information only based on supervisory control and data acquisition( SCADA) system,wide area measurement system( WAMS) provides a unified time scale benchmark for fault alarm timing information by using the whole network synchronous clock,which brings newopportunities for fault diagnosis of distribution network. In this context,based on the sequence of event( SOE) information of synchronous time series,a fault diagnosis method for distribution network based on synchronized time series information characteristics of relay protection is proposed in this paper. Firstly,the stage timing coordination relationship in the relay protection system of distribution network is analyzed,and the time sequence relationship model of synchronous SOE information is established. Then,according to the characteristics of distribution network lines,the decision table method in rough set is improved,and the fault diagnosis rules with better generalization ability and practicability are obtained. Finally,the simulations of electromagnetic transient and diagnostic method are carried out on PSCAD platform,and the accuracy and validity of the diagnostic method are verified by the numerical results.
There are a lot of redundancy and incompleteness in the alarm information of distribution network after fault,so it is important to extract the key fault information and get accurate diagnosis results through fault diagnosis in time for assisting the supervisor in dispatching work. Compared with the telemetry information only based on supervisory control and data acquisition( SCADA) system,wide area measurement system( WAMS) provides a unified time scale benchmark for fault alarm timing information by using the whole network synchronous clock,which brings newopportunities for fault diagnosis of distribution network. In this context,based on the sequence of event( SOE) information of synchronous time series,a fault diagnosis method for distribution network based on synchronized time series information characteristics of relay protection is proposed in this paper. Firstly,the stage timing coordination relationship in the relay protection system of distribution network is analyzed,and the time sequence relationship model of synchronous SOE information is established. Then,according to the characteristics of distribution network lines,the decision table method in rough set is improved,and the fault diagnosis rules with better generalization ability and practicability are obtained. Finally,the simulations of electromagnetic transient and diagnostic method are carried out on PSCAD platform,and the accuracy and validity of the diagnostic method are verified by the numerical results.
引文
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[11]叶金凤.基于多信息源的多层次配电网故障诊断方法研究[D].吉林:东北电力大学,2014.
[2]THUKARAM D,KHINCHA H P,VIJAYNARASIMHA H P.Artificial neural netw ork and support vector machine approach for locating faults in radial distribution systems[J].IEEETransactions on Pow er Delivery,2005,20(2):710-721.
[3]RODRIGO H S,KAREN R C,ANDRE D F,et al.Hybrid fault diagnosis scheme implementation for pow er distribution systems automation[J].IEEE Transactions on Pow er Delivery,2008,23(4):1846-1856.
[4]MCDONALD J R,BURT G M,YOUNG D J.Alarm processing and fault diagnosis using know ledge based systems for transmission and distribution netw ork control[J].Transactions on Pow er Systems,1992,7(3):1292-1298.
[5]孙静,秦世引,宋永华.模糊PETRI网在电力系统故障诊断中的应用[J].中国电机工程学报,2004,24(9):74-79.SUN Jing,QIN Shiyin,SONG Yonghua.Fuzzy PETRI nets and its application in the fault diagnosis of electric pow er systems[J].Proceedings of the CSEE,2004,24(9):74-79.
[6]CHEN W H,LIU C W,TSAI M S.On-line fault diagnosis of distribution substations using hybrid cause-effect netw ork and fuzzy rule-based method[J].IEEE Transactions on Pow er Delivery,2000,15(2):710-717.
[7]束洪春,孙向飞,司大军.基于粗糙集理论的配电网故障诊断研究[J].中国电机工程学报,2001,21(10):73-77,82SHU Hongchun,SUN Xiangfei,SI Dajun.A study on fault diagnosis in distribution line based on rough set theory[J].Proceedings of the CSEE,2001,21(10):73-77,82.
[8]罗晓.基于粗糙集-人工神经网络的配电网故障诊断研究[D].南宁:广西大学,2006.
[9]孙雅明,廖志伟.基于不同RS与NN组合的数据挖掘配电网故障诊断模型[J].电力系统自动化,2003,27(6):31-35.SUN Yaming,LIAO Zhiw ei.Assessment of data mining model based on the different combination rough set w ith neural netw ork for fault section diagnosis of distribution netw orks[J].Automation of Electric Pow er Systems,2003,27(6):31-35.
[10]游家训.基于多源信息的电网故障诊断研究[D].杭州:浙江大学,2008.
[11]叶金凤.基于多信息源的多层次配电网故障诊断方法研究[D].吉林:东北电力大学,2014.