Construction of a One Map Model for Intelligent Evaluation of Distribution Networks Integrating Multiple Entities and Attributes

This paper addresses the current challenges in state assessment and data storage and retrieval within distribution networks that have a high penetration of distributed power sources. It proposes a method for constructing a unified graph model of the distribution network that integrates multiple entities and attributes. The model considers the consistency of graph topology and includes various elements, such as the topological data of distribution transformers, distributed power sources, and lines. It also incorporates multiscale monitoring information and a multidimensional evaluation index system, with these elements represented as nodes and their interconnections as edges. By establishing this unified graph model, we enable intelligent evaluation of distribution networks with diverse entities and attributes. The model has been verified using Python and Neo4j software to ensure alignment with the intended objectives. This approach offers a more efficient way to analyze data and topology, paving the way for future work related to distribution networks.