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基于网络监控技术的变电站运行异常状态自动告警方法

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自动告警是变电站自动化监测系统的关键功能,但现有方法的漏报率和虚警率较高,难以实现精准告警.为此,提出了一种基于网络监控技术的变电站运行异常状态自动告警方法.通过多簇划分将变电站分为多个异构监控区域,利用无线网络传输异常变量数据,并采用 RVM算法进行数据分类和异常特征提取,最后通过可靠性模型识别异常状态并发出告警.实验结果显示,该方法的漏报率和虚警率均低于 1%,在变电站自动化监测领域展现出广阔的应用前景.
Network Monitoring-based Automatic Alarm Against Operational Abnormal States of Substations
Automatic alarm is a key function of substation automatic monitoring system,but currently prevailing methods are inferior in accuracy due to high false negative ratios and false alarm ratios.The present work made a preliminary at-tempt to establish a network monitoring-based method for the automatic alarm of operational abnormal states.The method divides the substation into multiple heterogeneous monitoring areas through multi cluster partitioning,uses wire-less network to transmit abnormal variable data,utilizes RVM algorithm for data classification and abnormal feature ex-traction,and identify and alarms against operational abnormal states through reliability model.The method was experi-mentally indicated to achieve a false negative ratio and a false alarm ratio both below 1%,and hence to have a potential applicative prospect in the field of substation automatic monitoring.

network monitoringsubstationabnormal stateautomatic alarmRVM algorithmreliability model

陈梦楠

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国网江苏省电力有限公司灌云县供电分公司,江苏 连云港 222200

网络监控 变电站 异常状态 自动告警 RVM算法 可靠性模型

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(19)