基于改进D-S证据理论的变电站电气设备智能监测报警方法  

Intelligent Monitoring and Alarm Method of Substation Electrical Equipment Based on Improved D-S Evidence Eheory

作　　者：王明溪[1] WANG Mingxi(Nanjing Nanrui Jibao Electricity Co.,Ltd.,Nanjing 211100,China)

机构地区：[1]南京南瑞继保电气有限公司,江苏南京211100

出　　处：《电工技术》2025年第1期30-32,共3页Electric Engineering

摘　　要：为进一步提高电力系统变电站故障电气设备的监测精度与预警效果,结合D-S证据理论与信息融合技术设计了一种新的预警模型。首先利用信息融合技术整合多源数据;其次通过引入冲突因子和证据权值系数改进D-S证据理论,优化证据处理过程;最终搭建了全新的变电站电气设备智能监测报警模型。实验结果显示,提出的优化预警模型在报警准确率和报警响应时间上均有显著提升,其中报警准确率最高可达99.5%,最快报警响应时间缩短至0.3s。由此可见,设计的报警模型不仅具有较好的测试性能,还能为变电站电气设备故障预防和准确报警提供更有效的技术支持。In order to further improve the monitoring accuracy and early warning effect of fault electrical equipment in power system substation,a new early warning model was designed based on D-S evidence theory and information fusion technology.Firstly,information fusion technology is used to integrate multi-source data.Secondly,D-S evidence theory is improved by introducing conflict factor and evidence weight coefficient to optimize the evidence processing process.Finally,a new intelligent monitoring and alarm model of substation electrical equipment is built.The experimental results show that the proposed optimized early warning model has a significant improvement in both alarm accuracy and alarm response time,in which the highest alarm accuracy can reeach 99.5%,and the fastest alarm response time can be reduced to0.3 s.It can be seen that the alarm model designed by the research not only has good test performance,but also can provide more effective technical support for substation electrical equipment fault prevention and accurate alarm.

关 键 词：信息融合 D-S证据理论 电力系统 故障监测 报警 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]