基于图计算的源网荷储协同运行关键技术研究进展与展望

Research progress and prospect of key technologies for source-grid-load-storage collaborative operation based on graph computing

归纳了新型电力系统中源、网、荷、储、碳、气六要素的新形态,详细阐述了六者之间的关联关系,并分析了三级源网荷储一体化系统的可控资源和职责。通过提出组织和拓扑动态分析相结合的源网荷储分层分区平衡聚合机制,为相关应用的研发方向提供了新的视角。在上述分析的基础上,基于图数据库模型强大的构建能力和图计算卓越的并行性能,提出了源网荷储碳气系统一体化时空图建模技术,结合图数据库的最新研究进展,介绍基于源网荷储碳气时空一张图的图计算平台的组成,并展望了图计算平台在新型电力系统中的广泛应用前景。所提出的研究成果能够实现对电力系统各环节的实时监控与优化管理,提高电力系统的运行效率和可再生能源的利用率,为实现智能电网管理和低碳化目标提供了有力支持,为未来电力系统的建设和发展指明了方向。

This paper summarized the characteristics of the six elements in the new power systems:source,grid,load,storage,carbon,and meteorology,also elaborated on their relationships.It analyzed the controllable resources and responsibilities within the three-level integrated source-grid-load-storage system.By proposing a combined organizational and topological dynamic analysis for layered and zoned balancing and aggregation mechanisms,it provided a new perspective for developing related applications.Based on this analysis,the paper introduced an integrated spatiotemporal graph modeling technology for the source-grid-load-storage-carbon-meteorology system,leveraging the powerful construction capabilities of graph database models and the superior parallel performance of graph computing.It presented the composition of a graph computing platform based on the unified spatiotemporal graph,incorporating the latest research advancements in graph databases.The paper also explored the broad application prospects of this graph computing platform in the new power system.The proposed research outcomes enabled real-time monitoring and optimized management of all elements within the power system,enhancing operational efficiency and the utilization of renewable energy sources.This work provided strong support for achieving intelligent grid management and decarbonization goals,pointing the way for future power system development and construction.