DOI: 10.53941/nacs.2026.100011 ISSN: 3083-3124
Power Supply Reliability Analysis of Distribution Network Based on Knowledge Graph
Yujia Zhang, Wei Cheng, Hamid Reza Karimi, Wanqing Song, Hongqing ZhengThe reliability of the power supply is intrinsically linked to the robustness of the distribution network. Constructing a distribution network model is highly challenging due to its complex structure, the large number of equipment and users, and the randomness of load variations and equipment failures. Knowledge graphs, a structured data representation describing entities and their relationships, can address challenges by modelling various devices, users and real-time operation data as entities in a graphical manner. As a result, the constructed large network graphs are not only easy to interpret, but also efficient in data management and reliability analysis. The results are promising and validate our hypothesis.