摘要
为了帮助运行人员更好地掌握供电系统的负荷变化规律,最大化节约传输电子量,研究了SpringCloud微服务框架下的新型供电系统数据挖掘方法。借助Eureka组件与Hystrix服务层,完善微服务框架雏形,搭建基于SpringCloud的微服务框架。在此基础上,分析电网环境下的用电负荷特性条件,按照供电指标的选取需求,确定电子量的挖掘深度数值,实现新型供电系统数据挖掘方法的应用。与灰色模型分析法相比,SpringCloud微服务框架可帮助运行人员更好地监督供电系统中的电子量传输行为,更好地掌握供电负荷量的实际变化规律。
In order to help operators better grasp the load change law of power supply system,maximize the amount of electronic transmission,a new data mining method of power supply system based on SpringCloud microservice framework is studied.With the help of Eureka components and Hystrix service layer,the prototype of microservice framework is improved,and a microservice framework based on SpringCloud is built.On the basis of this method,the power consumption characteristics of the power supply system are determined according to the depth of power supply data mining.Compared with the grey model analysis method,the SpringCloud microservice framework can help operators better supervise the transmission behavior of electronic quantity in power supply system,and better grasp the actual change law of power supply load.
作者
蔡勋玮
赵俊
赵丽
齐明
李艳西
CAI Xunwei;ZHAO Jun;ZHAO Li;QI Ming;LI Yanxi(Information and Communication Branch of State Grid Hunan Electric Power Co.,Ltd.,Changsha 410004,China)
出处
《电子设计工程》
2022年第16期164-168,共5页
Electronic Design Engineering
作者简介
蔡勋玮(1993—),男,湖南长沙人,硕士,初级工程师。研究方向:电力信息化的研究和建设。
