A Multi-Source Heterogeneous Grid Topology Mapping Method Based on Power Grid Simulation Data Management Platform

This study proposes a multi-source heterogeneous power grid topology mapping method based on the Power Grid Simulation Data Management Platform (PSDB), aiming to solve the problem that simulation models of the same power grid from different calculation software cannot be directly integrated due to modeling differences, i.e., the inability to achieve one-to-one mapping of equipment and electrical relationships. The key approaches include: hierarchical decomposition of grid topology: The topology is first divided into a two-level network (substation-line layer, in-substation equipment and bus node layer) to address the direct mapping challenges caused by device modeling granularity differences and conduct preliminary grid analysis; Dynamic bus node mapping: Taking substations as units, bipartite graph theory and set operations are used to handle the mapping difficulties of dynamic bus nodes through bus segmentation techniques and substation internal line combinations; Multi-source data compatibility: The equipment library manages device parameters, the mode library handles grid operating states, and the scheme library accommodates model conflicts, ensuring compatibility with discrepant data. This study for the first time solves the mapping challenges of dynamically changing bus nodes using bipartite graphs and set operations, and achieves lossless conversion of full-grid models by compatibly managing multi-source heterogeneous data differences through a relational database. The proposed method provides robust technical support for grid analysis based on simulation data, ubiquitous power internet of things, and digital twin systems.