3D power grid modeling and verification method via integrating GIS-GIM and DETR networks

REN Dajiang; YANG Kai; LI Junchao

doi:10.7688/j.issn.1000-1646.2025.04.04

Abstract：[Objective]With the continuous expansion of the power grid scale and the increasing complexity of its structure,traditional power grid modeling and visualization methods have gradually revealed many issues.For example,modeling accuracy often fails to meet the refined display requirements of complex grid structures.Application scenarios are limited and unable to effectively address diverse business needs.Moreover,there is a lack of scientific and effective verification mechanisms to ensure the accuracy and reliability of modeling results.To address these challenges,this study proposed a 3D power grid modeling and verification method integrating GIS-GIM and DETR networks,to achieve high-precision 3D grid modeling and establish an effective verification system,providing a solid data foundation and reliable decision support for grid planning,operation and maintenance,and management.[Methods]The first step involved integrating the grid information model(GIM)into the geographic information system(GIS).By leveraging GIS's powerful geospatial analysis and display capabilities,and combining GIM's detailed descriptions of grid equipment and topological structures,a more comprehensive 3D grid modeling approach was achieved,visually presenting the grid's overall layout and equipment distribution from a geospatial perspective.Second,the DETR network was improved by optimizing its structure,adjusting parameter settings,and employing more effective training strategies,enabling it to more accurately detect and classify 3D grid equipment.During training,a large volume of 3D grid equipment data was collected to build a rich and diverse dataset.The data were then annotated and preprocessed to improve the model's generalization ability.Last,the improved DETR network was applied to the 3D grid modeling process to detect and classify equipment in the modeling results individually,ensuring the accuracy of equipment information and the overall accuracy of the modeling results.[Results]To validate the effectiveness of the proposed method,experimental analyses were conducted on 100 sets of equipment data from three newly built substations.The results show that,compared to traditional modeling methods,the proposed 3D grid modeling method that integrates GIS-GIM and DETR networks significantly improves modeling accuracy,enabling more precise restoration of the spatial positions,structural forms of grid equipment,and connection relationships between equipment.Regarding the verification of the modeling results,the verification network demonstrates a good performance with an accuracy rate of 93.14％,indicating that the method can effectively detect potential errors and deviations in the modeling process and ensure the reliability of modeling results.[Conclusion]The proposed 3D power grid modeling and verification method,integrating GIS-GIM and DETR networks,performs excellently in improving grid modeling accuracy and establishing an effective verification mechanism,meeting the high-precision requirements of actual grid modeling.The method contributes significantly to improving the scientific basis for grid planning and provides intuitive 3D visualization for daily operations,maintenance,fault diagnosis,and repair,supporting reliable decision-making in grid management.It holds important theoretical significance and broad application prospects.