摘要
为进一步提高故障诊断模型的准确性,该文针对传统有色Petri网模型在主保护信号缺失情况下难以进行故障诊断的缺陷,基于与或树方法完善了诊断模型,使其对故障的描述更全面。以保护启动信号、保护出口动作信号和断路器跳闸信号为诊断依据,以主保护、远后备保护和失灵保护为基础实现诊断过程。最后以含分布式电源的典型配电系统为例验证了该模型的有效性和正确性。
In order to improve the accuracy of fault diagnosis model and for the drawback of not diagnosis with no main protection signal in initial colored Petri Net model,this paper improved diagnosis model based and/or tree,making it more comprehensive for fault description.According to protection action signal,protection export action signal and circuit breaker trips signal,based on the main protection,secondary protection and failure protection,the model realized diagnostic process.Finally,utilized typical distribution system with distributed power example verifying the effectiveness and validity of the model.
引文
[1]WangT,ZhangG,Zhao J,et al.Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning SpikingNeural PSystems[J].IEEE Transactions on Power Systems,2015,30(3):1182-1194.
[2]时谊,佘维,张丹,等.基于有色Petri网的变电站监控数据版本控制建模与研究[J].电力系统保护与控制,2014,42(4):98-104.
[3]Zhang Y,Zhang Y,Wen F,et al.A fuzzy Petri net based approach for fault diagnosis in power systems considering temporal constraints[J].International Journal ofElectrical Power and Energy Systems,2016,78(6):215-224.
[4]钟锦源,张岩,文福拴,等.利用电气量和时序信息的改进Petri网故障诊断模型[J].电力系统自动化,2015,39(11):152-159.
[5]罗毅,程宏波,吴浩,等.一种基于小波分时灰度矩与概率神经网络的电网故障诊断方法[J].重庆邮电大学学报(自然科学版),2012,24(1):121-126.
[6]何小飞,童晓阳,周曙.基于贝叶斯网络和故障区域识别的电网故障诊断研究[J].电力系统保护与控制,2010,38(12):29-34.
[7]王磊,陈青,高洪雨,等.输电网故障的与或树诊断模型[J].电力系统自动化,2016,40(2):100-106.
[8]曾庆锋,何正友,杨健维.基于有色Petri网的电力系统故障诊断模型研究[J].电力系统保护与控制,2010,38(14):5-11,127.
[9]吴哲辉.Petri网导论[M].北京:机械工业出版社,2006.
[10]张丹,佘维,叶阳东.基于模糊有色Petri网的故障诊断方法[J].计算机工程与设计,2013,34(11):3996-4001.
[11]吴磊,廖秋萍,吕林,等.含分布式发电配电网故障区间定位的新方法[J].电力系统及其自动化学报,2015,27(5):92-96,102.
[12]Calderaro V,Hadjicostis C N,Piccolo A,et al.Failure Identification in Smart Grids Based on Petri NetModeling[J].IEEE Transactions on Industrial Electronics,2011,58(10):4613-4623.