基于Springcolud的智能电网平台的设计与实现

Design and Implementation of Smart Grid Platform Based on Springcolud

为解决智能电网中运行缓慢、电网运行滞后的问题,设计了智能电网平台系统,系统包括智能电网运行、探索数据挖掘平台和智能电网平台的应用三大模块。首先采用数据挖掘技术,实现了对智能电网平台数据的分析与处理;然后设计了智能电网的可视化平台,采用Intranet技术、多媒体技术和开发主流技术,构建了智能电网的可视化平台,实现了智能电网平台的可视化;最后利用数字地表模型和交互式遗传算法的改进算法,实现了智能电网的任务调度。试验表明,研究的智能电网平台在试验次数增加的同时完成任务的总时间波动最小,在20 s~25 s之间波动。

In order to solve the problems of slow operation and lagging operation in the smart grid,a smart grid platform system was designed.This system included three modules:smart grid operation,exploration data mining platform and smart grid platform application.Firstly,data mining technology was used to realize the analysis and processing of the smart grid platform data;then the visualization platform of the smart grid was designed,and the Intranet technology,multimedia technology and development mainstream technology were adopted to construct the visualization platform of smart grid and realize the visualization of smart grid platform;finally,the improved algorithm of digital surface model and interative genetic algorithm was used to realize the task scheduling of the smart grid.Experiments show that the studied smart grid platform fluctuates the least in the total time to complete the task while the number of experiments increases,which fluctuates between 20 s~25 s.