风暴灾害下输电线路运行故障远程监控技术
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摘要
在风暴灾害影响下,传统的故障远程监控方法存在监控时间过长、误差率较高等问题。针对以上不足,提出一种基于Petri网的风暴灾害下的输电线路运行故障远程监控技术。融合输电线路的电气量及开关量数据,根据融合结果,运用故障模式匹配与Petri网技术提取故障特征;由故障特征构建网络拓扑结构矩阵,把故障方向传给主机,根据主机上输电线路各点的故障方向构建故障信息矩阵,对两个矩阵进行运算来远程监控输电线路运行故障。分析实验数据可知,运用该远程监控技术对风暴灾害下输电线路运行故障进行监控时,监控时延保持在22～27 ms之间,监控误差率基本保持在20%以下,远低于传统技术。
Under the influence of storm disaster,the traditional remote fault monitoring method has the problems of long monitoring time and high error rate. In view of the above shortcomings,a remote monitoring technology for transmission line operation faults under storm disaster based on Petri net is proposed. Fusion of transmission line electrical and switching data,based on the fusion results,fault pattern matching and Petri net technology are used to extract fault features; network topology structure matrix is constructed from fault features,fault direction is transmitted to the host computer,fault information matrix is constructed according to the fault direction of each point of transmission line on the host computer,and two matrices are operated to remotely monitor transmission line operation. Malfunction. By analyzing the experimental data,it can be seen that the monitoring delay is between 22 ms and 27 ms,and the monitoring error rate is below 20%,which is much lower than that of the traditional technology. It shows that the technology in this paper can monitor the transmission line fault quickly and accurately.
Under the influence of storm disaster,the traditional remote fault monitoring method has the problems of long monitoring time and high error rate. In view of the above shortcomings,a remote monitoring technology for transmission line operation faults under storm disaster based on Petri net is proposed. Fusion of transmission line electrical and switching data,based on the fusion results,fault pattern matching and Petri net technology are used to extract fault features; network topology structure matrix is constructed from fault features,fault direction is transmitted to the host computer,fault information matrix is constructed according to the fault direction of each point of transmission line on the host computer,and two matrices are operated to remotely monitor transmission line operation. Malfunction. By analyzing the experimental data,it can be seen that the monitoring delay is between 22 ms and 27 ms,and the monitoring error rate is below 20%,which is much lower than that of the traditional technology. It shows that the technology in this paper can monitor the transmission line fault quickly and accurately.
引文
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[9]滕予非,汤涌,周波,等.基于高频电压突变量的特高压直流输电系统接地极引线故障监测方法[J].高电压技术,2016,42(1):72-78.
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[11]刘明军,邵周策,上官帖,等.输电线路山火故障风险评估模型及评估方法研究[J].电力系统保护与控制,2016,44(6):82-89.
[2]邝永松.信号系统列车自动监控故障降级行车组织分析[J].城市轨道交通研究,2016,19(10):126-129.
[3]关念,王鸿鹏.船舶机舱自动化监控系统故障自诊断技术研究[J].舰船科学技术,2016,38(15):138-140.
[4]张江丰,尹峰,罗志浩,等.基于视频处理的引风机静叶故障自动监控技术[J].中国电力,2016,49(7):102-105.
[5]沈金荣,惠杰,董炜.基于地理位置相关性的光伏故障监控方法研究[J].可再生能源,2016,34(12):1754-1761.
[7]王焘,张文博,徐继伟,等.云环境下基于统计监测的分布式软件系统故障检测技术研究[J].计算机学报,2017,40(2):397-413.
[8]赵庆周,李勇,田世明,等.基于智能配电网大数据分析的状态监测与故障处理方法[J].电网技术,2016,40(3):774-780.
[9]滕予非,汤涌,周波,等.基于高频电压突变量的特高压直流输电系统接地极引线故障监测方法[J].高电压技术,2016,42(1):72-78.
[10]周剑峰,彭磊.基于反向模糊Petri网的应急响应条件下事故的致因分析[J].灾害学,2015,30(3):124-126.
[11]刘明军,邵周策,上官帖,等.输电线路山火故障风险评估模型及评估方法研究[J].电力系统保护与控制,2016,44(6):82-89.