Modeling Technology for Complex Dynamic Operating Environment of Power Grid Based on Digital Twins

With the increasing scale of power grid equipment year by year, the complexity and technical level of equipment requirements have sharply increased, resulting in a major contradiction between equipment management needs and the number and ability of technical personnel. However, there are issues with the compatibility, scalability, and completeness of the digital base of the digital twin substation. This paper aims at the shortcomings of building a digital twin of the power grid from a single model source, collects and integrates the existing three-dimensional model data of the station, studies the standardized model data structure, file storage standards, model subscription and publishing mechanism, visual interface and unified interface, and builds a hierarchical model of the digital twin of the station with the same appearance, coordinates and attributes. Research on digital model analysis technology based on key structural, component, material, and other design parameters of substation main equipment, and establish a universal multi-source digital model for substation main equipment; Research on a comprehensive reconstruction method for power grid environment based on various media such as 3D models and scanned reality models. On the basis of point cloud extraction and point cloud preprocessing, automatic entity extraction of typical objects is achieved through point cloud clustering and segmentation. Research on retrieval and registration algorithms for point clouds and 3D models is conducted to achieve accurate fusion of 3D models of typical devices in local point clouds. On the basis of comprehensive reconstruction, achieve multi-level and multi-scale model representation of the global and local power grid environment, and improve the adaptability of the panoramic twin monitoring and analysis system.