CPS Modeling and Analysis Method of Power Grid Based on Graph Computing

Abstract

With the development of the energy Internet, the increasing coupling degree and huge data complexity of the cyber-physical system (CPS) of the power grid have put forward higher requirements for the efficiency of analysis and calculation. Graph database and graph computing technologies are new databases and computing technologies that have emerged in recent years that can be based on massive data-parallel processing, which can intuitively express the power grid topology and perform efficient processing and calculations. This paper proposes a CPS dynamic analysis tool based on graph database and graph calculation. Firstly, based on the graph database, the data is combed and modeled from the component level to the topology network level on the physical side of the power grid and the associated features are extracted, described and stored. Secondly, a fusion graph model that can be used for dynamic analysis is built for the power grid CPS system, and a visual display platform that can nest business scenario analysis and calculation functions is developed. Based on the graph database model and the graph computing technology, the component attribute status query is realized. The network topology area identification, dynamic feature analysis, hybrid calculation and other visualization functions are also realized. Through the test in the 62-node CPS network, the results show that this analysis tool can significantly improve the equipment operation monitoring and network optimization control efficiency of the CPS system.