Knowledge Graph-Augmented ERNIE-CNN Method for Risk Assessment in Secondary Power System Operations
Xiang Huang,
Ping Li,
Ye Wang,
Xuchao Ren (),
Zhenbing Zhao and
Gang Li
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Xiang Huang: State Grid Jiangsu Electric Power Company, Nanjing 200024, China
Ping Li: State Grid Jiangsu Electric Power Co., Ltd. Huaian Power Supply Branch, Huaian 223000, China
Ye Wang: State Grid Jiangsu Electric Power Company, Nanjing 200024, China
Xuchao Ren: State Grid Jiangsu Electric Power Company, Nanjing 200024, China
Zhenbing Zhao: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Gang Li: Department of Computer, North China Electric Power University, Baoding 071003, China
Energies, 2025, vol. 18, issue 8, 1-16
Abstract:
With the increasing complexity of modern power systems, traditional risk assessment methods relying on expert experience and historical data face challenges in accuracy and adaptability. This study proposes a knowledge graph-augmented ERNIE-CNN method to enhance risk assessment in secondary power system operations. First, we construct a domain-specific knowledge graph by integrating expert knowledge and operational standards, which enhances semantic understanding and logical reasoning capabilities. Second, an improved ERNIE-CNN model is developed, incorporating an attention mechanism to effectively fuse semantic features and spatial patterns from operational texts. The experimental results on a dataset of 3240 secondary operation records demonstrate the model’s superior performance, achieving precision, recall, and F1-scores of 0.878, 0.861, and 0.869, respectively, outperforming benchmarks like BERT. Furthermore, a visualization of the knowledge graph is implemented, providing interpretable decision support for risk management. The proposed method offers a robust framework for automating risk assessment in power systems, with potential applications in smart grid maintenance and safety-critical operational planning.
Keywords: knowledge graph; smart grid; secondary power operations; risk assessment; ERNIE (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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