融合型配电网大数据处理平台架构设计

Architecture Design of Big Data Processing Platform for Fusion-type Distribution Network

为深化配电系统多源异构电力大数据的挖掘与应用,提出一种电力物联网与智能电网融合的配电网大数据处理平台架构方案。首先,针对两网融合的大数据处理研究现状,统筹当前主要业务需求,提出一种基于软件定义网络的云边协同总体架构设计;其次,就电力大数据的存取交互方式,考虑海量数据的多源异构特性,构建了一种分布式的3层数据管理架构;然后,阐述了基于聚类集体优化的主站云资源配置技术路线;最后,通过大数据处理实验平台的应用实例验证了所提架构方案的有效性与优越性。

To deepen the mining and application of multi-source heterogeneous power big data in distribution system,an architecture scheme of big data processing platform for the fusion of Power Internet of Things and smart distribution network is proposed.First,in view of the current research status of the fusion of these two networks,the current main business needs are coordinated,and a cloud-side collaboration software-defined network(SDN)overall architecture design is put forward.Second,with regard to the access and interaction mode of power big data,a distributed three-layer data management architecture is established considering the multi-source heterogeneous characteristics of massive data.Afterwards,the technical route of the master station cloud resource allocation based on clustering collective optimization is elaborated upon.Finally,the validity and superiority of the proposed architecture scheme are verified through an application example of big data processing test platform.