基于物联网技术的电力调度数据异常监测方法研究

Research on Abnormal Monitoring Method of Power Dispatching Data Based on Internet of Things Technology

现有方法由于未能及时对电力调度数据进行缺失值插补,导致在数据监测时,存在监测时间长、误报数量高、监测效果差的问题,提出基于物联网技术的电力调度数据异常监测方法研究。该方法对电力调度数据进行缺失值插补,通过归一化结果建立电力调度数据集;结合物联网技术建立电力数据异常监测网络,依据网络最大流划分区域以及电力调度数据需求,完成监测网络的优化,实现电力调度数据的异常值监测。实验结果表明,该方法监测时间仅为1123 s,误报数量最高为2个,监测效果好,其具备可行性,有效提高电力调度数据异常监测的效果。

The existing methods fail to perform missing value interpolation for power dispatch data in time,the method has the problems of long monitoring time,high number of false alarms,and poor monitoring effect during data monitoring.This paper proposes the research on the monitoring method of technical power dispatching data anomaly.This method first performs missing value interpolation on power dispatch data,establishes a power dispatch data set through normalized results,establishes a power data anomaly monitoring network combined with the Internet of Things technology,and according to the maximum flow of the network,the region is divided and the power dispatching data needs are met.The optimization of the monitoring network is completed to realize the outlier monitoring of the power dispatching data.Experimental results show that the monitoring time of this method is only 1123 s,and the maximum number of false positives is 2.The monitoring effect is good,and it is feasible to effectively improve the abnormal monitoring effect of power dispatching data.