Optimization and Development Methods for Data Asset Management in Power Systems Based on Knowledge Graphs

With the increasing complexity and intelligence of modern power systems, the volume of data has grown exponentially, covering various stages from generation, transmission, and distribution to consumption. Traditional data management methods struggle to handle the vast data volume and complex data relationships, resulting in data silos and information asymmetry, which limit the efficiency and decision-making capabilities of power systems. Knowledge graphs, as an emerging data management technology, integrate data and knowledge to provide a global view of data relationships and intelligent analysis capabilities. This paper proposes an optimization method for data asset management in power systems based on knowledge graphs, discussing the construction of knowledge graphs, data processing techniques, and their application in power systems to enhance data management and intelligence levels.