基于流量负载的电网共享服务管理平台实现

Implementation of Traffic Load-Based Grid Shared Services Management Platform

随着电力网络的高速发展,电力数据的规模与维数急速增长。为了合理地对电网系统进行应用,需要构建共享服务管理平台。首先,分析了国内外电网共享服务管理的现状,同时阐述了基于边缘计算的电力物联网的概念。然后,重点构建流量负载分配模型。流量负载分配模型用于计算终端节点接收到数据包的工作量情况。基于流量负载分配搭建共享服务管理平台架构,并对重点功能模块进行分析和设计。创新性地采用边缘计算的方法对电力网络的业务场景进行实现,并验证其可行性。最后,通过下达遥控触发指令对其监测功能进行验证,证明该管理平台具备通信、数据采集与处理等共享服务功能。该管理平台可统筹用电数据管理和分享功能,为异常用户检测、能效管理提供有效的应用价值。该研究对电力领域的网络共享服务提供了实际指导,并有助于进一步探索边缘计算对电力行业的促进作用。

With the rapid development of power networks,the scale and dimension of power data are growing rapidly.To reasonably apply to the power grid system,a shared service management platform needs to be constructed.Firstly,the current situation of shared service management in power grid at home and abroad is analyzed.The concept of power Internet of Things based on edge computing is also described.Then,the focus is on building the traffic load distribution model,which is used to calculate the workload situation of packets received by end nodes,building the shared service management platform architecture based on traffic load distribution,and analyzing and designing the key functional modules.An innovative approach of edge computing is used to implement the business scenario of power network and verify its feasibility.Finally,its monitoring function is verified by issuing remote trigger commands,proving that the management platform has shared service functions such as communication,data collection and processing.This management platform can coordinate electricity consumption data management and sharing functions,providing effective application values for abnormal user detection and energy efficiency management.This research provides practical guidance for network shared services in the electric power field,and helps to further explore the role of edge computing in promoting the electric power industry.