Data-driven Distributed Analytics and Control Platform for Smart Grid Situational Awareness

查看全文 作　　者：Christopher [1]S.Saunders;Guangyi [1]Liu;Yang [2]Yu;Wendong [1]Zhu

机构地区：[1]Global Energy Interconnection Research Institute,North America,Santa Clara,CA,95054,USA;[2]Stanford University,450 Serra Mall,Stanford,CA 94305,USA

出　　处：《CSEE Journal of Power and Energy Systems》索引2016年第2卷第3期,共8页

基　　金：supported by the Science and Technology Program of the State Grid Corporation of China(DZB51201403772);the National Natural Science and Technology Fund of China(51261130472). 摘　　要：A conceptual,data-driven framework for organizing the data analytics and control functions in an electrical distribution network is proposed in this paper.The framework is built such that it tightly corresponds to the naturally existing physical hierarchy of typical radial distribution networks,allowing for an organized and highly-localized set of data storage and analytics processes,which in turn correspond well to likely control commands.By utilizing this structure,the computational entities in the framework are endowed with persistent local situational awareness.However,the framework also permits,through a series of tiered communications,the operation of a centralized authority for overall system observability and controllability. 关键词：Data analytics data warehousing distributed control distributed systems machine learning situational awareness

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Data-driven Distributed Analytics and Control Platform for Smart Grid Situational Awareness

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