Discussion about Application of Knowledge Graph Technology in the Field of Power Load Regulation

The massive integration of renewable energy sources, such as photovoltaic and wind power, has significantly increased the complexity of grid regulation, necessitating the utilization of flexible load resources to ensure stable grid operation and control. However, the distributed nature, vast data volume, diverse types, and inherent complexity of these flexible loads render traditional power dispatch methods inadequate. Consequently, there is an urgent need to adopt data-driven approaches to effectively manage and regulate these loads. This paper explores the application of knowledge graph technology in the field of power load regulation, highlighting its potential to address these challenges. Knowledge graph technology, with its ability to represent and analyze complex relationships within large datasets, offers a promising solution for optimizing load regulation. The paper introduces the fundamental concepts of knowledge graph technology and demonstrates its practical application in load regulation within the Beijing power grid.