Power Supply Reliability Analysis of Distribution Network Based on Knowledge Graph
The 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.
Authors
- Wanqing Song (ORCID: https://orcid.org/0000-0002-0561-3258)
- Yujia Zhang (ORCID: https://orcid.org/0000-0001-6661-8901)
- Wei Cheng (ORCID: https://orcid.org/0000-0002-6373-1826)
- Hamid Reza Karimi
- Hongqing Zheng
Institutions
- University of Alberta (CA)
- Minnan University of Science and Technology (CN)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Nonlinear Analysis and Computer Simulations
- Published
- 2026-07-02
- DOI
- https://doi.org/10.53941/nacs.2026.100011
- Primary Topic
- Power System Reliability and Maintenance
- Type
- article
- Field-Weighted Citation Impact
- 0.00