基于NB-IoT的变电站电气设备实时负载监测技术  

Real-time load monitoring technology of substation electrical equipment based on NB-IoT

作　　者：刘希臣[1] LIU Xichen(College of Control Science and Engineering,China University of Petroleum,Qingdao 266580,China)

机构地区：[1]中国石油大学(华东)控制科学与工程学院,山东青岛266580

出　　处：《现代电子技术》2023年第2期149-153,共5页Modern Electronics Technique

摘　　要：变电站内多种电气设备同时运行时,实时负载状态监测难度大,若电气设备负载状态异常会影响变电站运行的安全性与稳定性,为此提出基于NB-IoT的变电站电气设备实时负载监测技术研究。设计与调试NB-IoT通信技术,采集电气设备实时负载数据,应用布莱克曼自卷积窗频谱校正算法处理负载数据,基于最大流方法计算电气设备负载的安全裕度,制定电气设备实时负载监测规则,判定电气设备实时负载状态,实现了对电气设备实时负载的精准监测。实验结果表明,应用所提方法获得的电气设备实时负载数据校正误差系数最小值为0.1,电气设备实时负载监测结果与实际负载状态保持一致,充分证实了所提方法的应用性能更佳。It is difficult to monitor the real-time load status because of the simultaneous operation of various electrical equipment in the substation. As the abnormal load status of electrical equipment can affect the safety and stability of the substation operation,a research on the real-time load monitoring technology of electrical equipment in the substation is proposed. The NB-IoT communication technology is designed and debugged,the real-time load data of electrical equipment is collected,the Blackman self-convolution window spectrum correction algorithm is used to process load data,the safety margin of electrical equipment load is calculated by means of the maximum flow method,and real-time load monitoring rules of electrical equipment is determnied to judge the real-time load state of electrical equipment,so as to realize accurate real-time load monitoring of electrical equipment. The experimental results show that the minimum correction error coefficient of the real-time load data of electrical equipment obtained by the proposed method is 0.1,and the real-time load monitoring results of electrical equipment are consistent with its actual load state,which can fully prove that the proposed method has better application performance.

关 键 词：变电站 电力能源 最大流方法 NB-IoT通信技术 实时负载 电气设备 负载监测 安全裕度 

分 类 号：TN931.3-34[电子电信—信号与信息处理] TM63[电子电信—信息与通信工程]