The progresses in research of complex network theory inspire scientists to make the analysis from a new structural perspective in terms of nodes and their connection patterns. However, a pure topological approach, as proposed in the current literature, fails in capturing the specific features of power systems. Two different aspects, namely operation state and network structure, are proposed for solving power grid security problems and their relationships are discussed. Therefore it is pointed out that power security metrics should keep the dominance of complex network approach in structure analysis and capture special features of power system engineering. Furthermore, on the basis of net-ability and entropic degree, a concept of transmission betweenness is proposed. With the drop of net-ability, the critical transmission lines is identified, and entropic degree and transmission betweenness are used to quantitatively measure the connectivity and responsibility of buses respectively. Finally, the new metrics are applied to the Italian power transmission network for analysis and comparison to verify the effectiveness of the proposed method.
Collaborative Modeling and Optimization of Power-Transportation Coupling Network from Cyber-Physical-Social Perspective
Interpretable Detection Method for False Data Injection Attack on Power Grid Based on Multi-head Graph Attention Network and Time Convolution Network Model
Modeling of Components in Smart Distribution Systems for Real-time Security Analysis
Power Grid Resilience Assessment and Differentiated Planning Against Typhoon Disasters
Related Author
SHENG Yujie
GUO Qinglai
XUE Yixun
WANG Jiawei
CHANG Xinyue
SU Xiangjing
DENG Chao
LI Fengyong
Related Institution
Shanxi Energy Internet Research Institute
Department of Electrical Engineering, Tsinghua University
School of Electrical Engineering, Shanghai University of Electric Power
College of Computer Science and Technology, Shanghai University of Electric Power
Key Laboratory of Ministry of Education on Smart Power Grids (Tianjin University)