时空数据图建模及在“电网一张图”中应用场景的探索

By modeling the spatiotemporal data of the power grid,it is possible to better understand its operational status,identify potential issues and risks,and take timely measures to adjust and optimize the system.Compared to the bus-branch model,the node-breaker model provides higher granularity in describing grid components and can dynamically reflect changes in equipment status,thus improving the efficiency of grid dispatching and operation.This paper proposes a spatiotemporal data modeling method based on a graph database.It elaborates on constructing graph nodes,graph ontology models,and graph entity models from grid dispatch data,describing the con-struction of the spatiotemporal node-breaker graph model and the transformation to the bus-branch model.Subsequently,by integrating spatiotemporal data attributes into the pre-built static grid graph model,a spatiotemporal evolving graph of the power grid is constructed.Furthermore,the concept of the"Power Grid One Graph"and its requirements in modern power systems are elucidated.Leveraging the constructed spatiotemporal node-breaker graph model and graph computing technology,the paper explores the feasibility of grid situational awareness.Finally,typi-cal applications in an operational provincial grid are showcased,and potential scenarios of the proposed spatiotemporal graph model are discussed.