基于大数据的电力负荷自动监测系统设计

Design of power load automatic monitoring system based on big data

传统的自动监测系统在监测非侵入式电力负荷时,只能针对某一类型的电力负荷进行监测,而且不具备电力负荷分解能力,很难将两个同时工作的电力负荷拆分开来单独监测,监测范围小,监测结果准确性低。为此基于大数据技术设计了一种新的电力负荷自动监测系统,设计了系统的监测器和数据采集器,构建了电力负荷特征库。根据建立的硬件系统设计了软件工作流程,共分为非侵入式电力负荷数据采集、非侵入式电力负荷数据提取、非侵入式电力负荷数据处理、非侵入式电力负荷数据分解和非侵入式电力负荷数据追踪五步,对每一步做了详尽地解释。由实验结果可知,设计的电力负荷自动监测系统可以同时监测多种类型的电力负荷,监测范围很广,且监测准确性远远高于传统系统。该系统在未来电力资源精确化管理工作中将起到重要作用。

When monitoring the non intrusive power load,the traditional automatic monitoring system can only monitor a certain type of power load,and do not have the power load decomposition ability.It is difficult to separate the two simultaneous power loads to separate the power load.The monitoring range is small and the accuracy of the monitoring results is low.A new automatic monitoring system for power load is designed based on large data technology,and the monitor and data collector of the system are designed,and the power load feature library is built.The software workflow is designed according to the established hardware system.It is divided into five steps,which are non intrusive power load data acquisition,non intrusive power load data extraction,non intrusive power load data processing,non intrusive power load data decomposition and non-invasive power load data tracing,and each step is thoroughly solved.Release.The experimental results show that the designed power load automatic monitoring system can monitor various types of power load at the same time,and the monitoring range is very wide,and the accuracy of monitoring is far higher than that of the traditional system.The system will play an important role in the accurate management of power resources in the future.