直流特高压带电线路近电安全感应预警监控系统设计  

Design of Induction Early Warning and Monitoring System for Near Current Safety of DC UHV Live Line

作　　者：孙明刚 杨仲吕 马雷 SUN Ming-gang;YANG Zhong-lv;MA Lei(State Grid Anhui Electric Power CO.,Ltd.,Construction Company,Hefei,Anhui 236000,China)

机构地区：[1]国网安徽省电力有限公司建设分公司,安徽合肥236000

出　　处：《计算技术与自动化》2023年第1期78-83,共6页Computing Technology and Automation

摘　　要：传统直流特高压带电线路中,安全感应预警监控系统存在的监测数据难以实时上传,通信不流畅、数据采集误差大,针对该问题,设计了一种基于MPPT监测的监控系统,能够将直流特高压带电线路中信息提取功率导向存储装置,并通过两个控制模块和实时监控装置,加强监控系统的监测能力,大大提高了监测效率与实时数据传输能力。同时构建了机器人学习算法的GEN算法,对预警机制进行改进,提高了预警能力,也提高了数据处理效率,增强了数据适应性,通过仿真实验,所设计的硬件在安全数据监控时,监控率最高可达94.01%。In the traditional DC UHV live line,the monitoring data existing in the safety induction warning monitoring system is difficult to upload in real time,the communication is not smooth,and the data acquisition error is large.Aiming at this problem,a monitoring system based on MPPT monitoring is designed,which can The information extraction power in the live line is directed to the storage device,and through the two control modules and the real-time monitoring device,the monitoring capability of the monitoring system is strengthened,and the monitoring efficiency and real-time data transmission capability are greatly improved.And build the GEN algorithm of the robot learning algorithm,improve the early warning mechanism,improve the early warning ability,and also improve the data processing efficiency and data adaptability.Through simulation experiments,the designed hardware has the highest monitoring rate when monitoring safety data up to 94.01%.

关 键 词：安全感应 预警系统 监控系统 MPPT监测 机器学习算法 

分 类 号：TM76[电气工程—电力系统及自动化]