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Research Article Open access CC BY 4.0

Research and Applications of Knowledge Graphs in the Power Sector: A Review

Tong Guo

Journal of Energy Research and Reviews · pp. 28–43 · Published 23 Nov 2024

10.9734/jenrr/2024/v16i11380

Abstract

With the rapid development of science and technology, power system has become the lifeblood of modern society, an increasingly large power system complicates the management, operation, and maintenance of the grid. In order to effectively use a large number of operating data and prior knowledge of power system, the knowledge graph is introduced into the field of power systems. This paper introduces the research and application of knowledge graph in power system and emphasizes the importance of knowledge graphs in addressing the increasing complexity of power systems and the rising demand for intelligence, the knowledge graph integrates heterogeneous data in a structured way, which helps to improve the technical level of power system management and control, especially in fault diagnosis, equipment monitoring and market transactions. This paper first introduces the basic concept, construction method and main application scenarios of knowledge graph in power system, including data management, equipment operation and maintenance, power system operation management and decision support, Through specific examples, such as a question-answering system for identifying defects in power equipment based on knowledge graphs, the identification method of transmission line missing bolts, intelligent planning of distribution network, etc., the paper shows knowledge graph can effectively improve the operation efficiency and management level of power system. Finally, the paper looks forward to the future development trend of knowledge graph in power system, points out its broad application prospects in smart grid construction, multidisciplinary cross integration and other fields, and emphasizes the importance of knowledge graph for promoting the intelligent development of power system.

Knowledge graph power system overhead line grid operation and maintenance

Cited by 3

Towards Knowledge-Indexed Reasoning with Multi-Layer Attention for Power Grid Data Field Queries

Bin Chen, Yundan Liang, Yi Huang · 2025 6th International Conference on Smart Grid and Energy Engineering (SGEE) · 2025

Construction of Knowledge Graph of Power Defect Faults Based on Deep Neural Networks Considering Attention Mechanisms

Zhenyu Guo, Tao Zhu, Daojun Huang · 2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI) · 2025

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