Research on Virtual and Real Spatial Data Interconnection Mapping Technology for Digital Twin

In recent years, distributed photovoltaics, decentralized wind power, new loads, electric vehicles, etc. have been connected to the power grid in a wide range, and the distribution network has become more active, with strong fluctuations, and large peak-to-valley differences. The management and coordination of distributed resources interaction put forward higher requirements. This paper conducts research on the data interconnection and mapping technology of virtual and real space for digital twins. The first step is to study the modeling and driving technology of data interconnection, fusion mechanism model, and information model based on the real twin of the power grid. Coordinate data and monitoring data of main and auxiliary equipment and the data interconnection mechanism of the power grid real scene twin, build a dual-mode driving method that integrates the mechanism model and data model; the second step is to study the power grid “virtual-real” space multi-service continuous mapping mechanism and real-time data. The panoramic mapping method realizes the continuous and real-time mapping of point data and surface data to the digital twin and realizes multi-block, multi-level, and multi-type mapping according to the steps of feature extraction, feature matching, model parameter estimation, transformation, and interpolation. The digital twin data is accurately matched; the third step is to study the efficient transmission and update integration technology of twin data in the power grid environment, research methods to improve the real-time and concurrency of data transmission, and research multi-source heterogeneous data dynamic update and integration technology. The fourth step is to study the two-way intelligent cooperation and integration technology of station equipment, realize real-time data interaction and state interaction between the virtual digital model and the real physical model, and realize the interconnection and mapping between the station panoramic model and the virtual and real data.