互感器边云协同实时监测系统设计

Design of transformer side cloud collaborative real-time monitoring system

电子式互感器作为智能变电站的信息源头,需对其进行实时监测。为解决现有互感器监测技术在实时性、精确度、存储容量等方面的问题,基于鸿蒙架构,设计了一套互感器边云协同实时监测系统。利用单片机采集互感器数据,以GPS秒脉冲为基准保证采样同步,再经鸿蒙操作系统存储上云,并在边缘计算侧引入KF与加凯塞窗的DFT算法,滤除数据采集过程中的噪声与谐波,当互感器精度不足时触发蜂鸣器报警。经实验验证,本系统实现了多互感器监测数据的实时、同步上传与大量储存,存储容量取决于云服务器大小,可随时扩容。本系统满足互感器实时监测的精度要求,幅值误差不超过0.75%,满足0.2的准确级要求,并允许工作人员随时、异地查看结果。此外,边云协同的工作模式具有一次开发、多端部署的特性,使本系统具有较强的移植性,可应用于其他不同电力系统场景。

As the information source of intelligent substation,electronic transformer needs real-time monitoring.In order to solve the problems of existing CT monitoring technology in terms of real-time performance,accuracy and storage capacity,this paper designs a set of CT side cloud collaborative real-time monitoring system based on Harmony architecture.The single chip microcomputer is used to collect the transformer data,and the GPS second pulse is used as the reference to ensure the sampling synchronization,and then the Harmony operating system is stored on the cloud,and the Kalman filter and the discrete Fourier algorithm with Cassel window are introduced on the edge computing side to filter the noise and harmonics in the process of data acquisition.When the transformer accuracy is insufficient,the buzzer alarm is triggered.Experimental verification shows that the system realizes real-time,synchronous uploading and mass storage of monitoring data of multiple transformers.The storage capacity depends on the size of cloud server and can be expanded at any time.The system meets the accuracy requirements of transformer real-time monitoring,the amplitude error is less than 0.75%,meets the accuracy level of 0.2,and allows the staff to view the results at any time and in other places.In addition,the edge-cloud collaborative working mode has the characteristics of one-time development and multi-terminal deployment,so that the system has strong portability and can be applied to other different power system scenarios.