An Intelligent Arrangement Method for New Distribution Network Data Sharing Service

With the extensive access of new power system distribution and distributed new energy, its data volume is also rapidly expanding, and the traditional relational database is difficult to support the elastic storage and topological relationship analysis of such a huge amount of data; At the same time, the amount of data between different businesses in the power grid is increasing exponentially. The traditional data architecture based on the tree organization relationship also causes a serious waste of resources and computing power to the background server. This paper innovatively designs an intelligent orchestration method for power distribution and distributed new energy data resources, defines the relevant component orchestration process according to different business scenarios, uses data extraction and conversion tools to access the power grid data center and real-time measurement center, obtains online and offline data resources of the power grid, and carries out the topology association orchestration of data with equipment as the core, The designed data model library will classify and store the collected data and distribute the strategy. The designed execution engine will instantiate the topology of the data required for the business of the strategy. The designed AI model will conduct in-depth learning and training of the topology instantiation data and add it to the designed state, so as to realize the intelligent closed-loop cycle.