摘要
为了满足国家电网有限公司内省公司配电网调度业务管控的需求,提出了一种由实时数据组件和常规大数据组件构成的混合型大数据平台架构,弥补了常规大数据平台对于电网实时分析类应用支撑的不足。针对配用电大数据的时空多维特征,设计了配用电模型、实时数据、历史运行和业务数据的存储方案,探讨了综合应用分布式实时库、关系型数据库、分布式数据库和分布式文件的大数据融合、存储和处理技术。最后,通过实际案例验证了混合型大数据平台架构的合理性和大数据集成技术的有效性。
In order to meet the requirements of provincial company in regional distribution dispatch business management and control,a hybrid big data platform architecture composed of real-time data componens and big data componens is proposed,which makes up for the shortcomings for real-time power application support of the traditional big data platform.Aiming at the time-space multi-dimensional characteristics of distribution big data,the data center storage scheme are designed,and the big data integration,storage,processing technologies are discussed,which are comprehensive application of real-time library,relational library,distributed database and distributed file.Finally,the rationality of the architecture and the effectiveness of storage technology are verified in the actual system.
作者
殷自力
钱静
张功林
王清凉
姚旭
YIN Zili;QIAN Jing;ZHANG Gonglin;WANG Qingliang;YAO Xu(State Grid Fujian Electric Power Company Limited,Fuzhou 350003,China;State Grid Electric Power Research Institute,Nanjing 210003,China;Beijing Kedong Power Control System Co.,Ltd.,Beijing 100192,China)
出处
《供用电》
2020年第11期15-20,共6页
Distribution & Utilization
基金
国家电网有限公司科技项目“基于营配调信息贯通下的配电网调度应用管控验证研究”(5213001601BA)。
关键词
智能配用电
大数据存储架构
大数据集成管理技术
分布式实时库
模型管理
smart power distribution and consumption systems
big data storage architecture
big data integration management technology
distributed real-time library
model management
