Research on Risk Identification Technology for Power System Supply Chain Based on Knowledge Graph

The stability of the power supply chain is crucial for maintaining the long-term development and cost-effectiveness of the power industry. Although existing equipment can maintain power supply in the short term, interruptions in the supply chain of components, such as geopolitical tensions, policy changes, limited supplier numbers, or poor management, may have an impact on the long-term stable operation and cost control of the power system. This article proposes a risk identification technique based on the Neo4j graph database, aiming to discover potential risk points in the supply chain in a timely manner through the analysis ability of the graph database. By constructing a supply chain knowledge graph(PSSCKG), this study aims to enhance the risk warning capability of the supply chain, optimize spare parts management and cost control, and thus support the sustainable development of the power system.