配用电云平台分布式实时数据处理技术研究  

Research on Distributed Real-time Data Processing Technology of Power Cloud Platform

作　　者：唐军沛[1] 唐斌 TANG Junpei;TANG Bin(Dongfang Electronics Co.,Ltd.,Yantai 264000,China;Beijing Normal University-Hong Kong Baptist University United International College,Zhuhai 519087,China)

机构地区：[1]东方电子股份有限公司,山东烟台264000 [2]北京师范大学-香港浸会大学联合国际学院,广东珠海519087

出　　处：《机械与电子》2020年第11期14-16,24,共4页Machinery & Electronics

摘　　要：为解决配电网云平台大规模实时数据的处理问题,设计了一种分布式实时数据处理方法。集群分布式实时数据库可实现海量数据的分布式存储,而且具有统一访问和管理功能。提出了一种新型分布式SCADA系统,进一步提高实时数据的分布式处理能力。给出了新型分布式SCADA系统架构,包括基础设施、分布式资源与任务处理、分布式实时数据处理、分布式数据处理。在云计算环境下,讨论了弹性事件队列和弹性应用框架等关键技术,系统地建立同云计算相适应框架,全面提升系统的数据采集、存储、分析、计算和扩展等能力。In order to solve the problem of large-scale real-time data processing in the distribution network cloud platform,a distributed real-time data processing method is designed.Clustered distributed real-time database can realize the distributed storage of massive data and has the function of uniform access and management.A new distributed SCADA system is proposed to improve the distributed processing ability of real-time data.The architecture of new distributed SCADA system is presented,including infrastructure,distributed resources and task processing,distributed real-time data processing and distributed data processing.In the cloud computing environment,the key technologies such as elastic event queue and elastic application framework are discussed,and the framework suitable for cloud computing is systematically established,so as to comprehensively improve the data acquisition,storage,analysis,calculation and expansion capabilities of the system.

关 键 词：配电网 云平台 分布式实时数据库 分布式SCADA系统 

分 类 号：TM734[电气工程—电力系统及自动化]