基于云平台的电能质量监测预警系统设计研究

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中图分类号：TM930 文献标识码：A文章编号:1672-3791(2026)04-0086-03

Research on the Design of Power Quality Monitoring and EarlyWarning System Based on Cloud Platform

ZHENG Guanglong

MCCCapital Engineering&Research Incorporation Co.,Ltd.,Beijing,1Oo176 China Abstract: In the context of inteligent development of power system, power quality monitoring and early warning have become a key link to ensure the safe and stable operation of power grid.In order to improve the real-time and intelligent level of user-side power quality monitoring,a cloud based power quality monitoring and early warning system is proposed.It adopts a four-layer architecture of "perception layer-network layer-platform layerapplication layer",integrates high-precision metering chip,5G low-latency transmission and dynamic modal decomposition algorithm,and constructs a full-process solution of data collection,transmisionoptimization,cloud analysis and early warning push.After verification,the system achieves a total delayof 68.6 ms anda detection accuracy of more than 95% in the test,which significantly improves the real-time and reliability of power quality monitoring,and provides effective support for the intelligent operation and maintenance of power systems.

Keywords: Cloud platform; Power quality monitoring; Transient disturbance; Dynamic mode decomposition

随着新能源大规模并网与电力电子设备普及，电能质量问题日益突出[1]。（剩余4820字）