摘要
设计了基于大数据技术的智能电网系统,利用大数据技术构建了云计算平台。平台中各功能模块相互独立,通过总线完成信息和数据的交换。作为智能电网系统中的关键环节,调度环节需要对海量数据信息进行处理,包括存储、分析处理、引擎搜索等,大数据技术能够实现大规模数据的高效处理,而云计算的资源共享功能及强大的计算能力,为智能电网调度系统计算分析调度运行数据信息提供了强大的技术支撑。在确保系统可靠性和精确性的同时,为提高云计算的实时响应性,将改进遗传算法引入到云计算中,对平台资源通过实时监测和合理协调实现科学高效的动态分配过程。
This paper mainly designs a smart grid system based on big data technology.Using the big data technology,a cloud computing platform is built.The function modules in the platform are independent each other,and the information and data exchange are completed through the bus.As a key aspect of the system,the scheduling process needs to process massive data information,including storage,analysis and processing,engine search,etc,big data technology can realize efficient processing of large-scale data,and cloud computing resource sharing function and powerful computing capabilities provide powerful technical support to the calculation and analysis of dispatching operational data information of the smart grid dispatching system.While ensuring the reliability and accuracy of the system,the improved genetic algorithm structure is introduced into the cloud computing to improve the real-time responsiveness of the cloud computing.It realizes a scientific and efficient dynamic allocation process for real-time monitoring and rational coordination of platform resources.
作者
胡波
李宏亮
HU Bo;LI Hongliang(Jiangsu Shuangdu Electric Co.,LTD,Nanjing 210005;Hangzhou Dezheng Electric Co.,LTD,Hangzhou 310052)
出处
《微型电脑应用》
2019年第8期91-94,共4页
Microcomputer Applications
关键词
大数据技术
云计算平台
智能电网系统
调度任务
Big data technology
Cloud computing platform
Smart grid system
Scheduling task
