The Structural Vulnerability Analysis of Power Grids Based on Overall Information Centrality

Zhang, Yi-Jia; Kang, Zhengming; Guo, Xiaohua; Lu, Zhe‐Ming

doi:10.1587/transinf.2015edl8226

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…The research results reveal the scale-free properties of power networks and indicate the system is more vulnerable to deliberate attacks than random failures [14]. Therefore, to improve the robustness of the system and accurately address potential threats, some topological structure indices, such as betweenness [15], [16] and over-all information centrality [17], have been applied to identify vulnerability nodes in the power networks. However, the pure topological metrics fail to take into account the physical characteristics of the power system, so the extended indices were proposed that incorporate electrical characteristics [18]- [20].…”

Section: Introductionmentioning

confidence: 99%

A TOPSIS-Based Vulnerability Assessment Method of Distribution Network Considering Network Topology and Operation Status

Wen,

Lin,

et al. 2023

IEEE Access

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Vulnerability assessment is one of the effective ways to prevent cascading failures of a distribution network (DN). Aiming to accurately identify the vulnerable parts of the DN, a comprehensive assessment method based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) considering topological structure and operation status is proposed. Considering the radial topology of DN, the structural vulnerability indices based on complex network theory are extended, such as degree and network efficiency. According to the system power flow and the network topology, the state vulnerability indices are established, such as electrical betweenness and power flow transfer entropy. Combining the Analytic Hierarchy Process (AHP) and the entropy weight method to obtain the comprehensive weight to give weight to each vulnerability index. The weighted vulnerability indices are substituted into the TOPSIS method to calculate the comprehensive vulnerability of each node and line in the DN where the obtained results are corrected by the grey correlation degree. The system transmission efficiency index is established to describe the degree of system performance degradation of the DN under different attack strategies. The simulation results of IEEE 33-bus test case show that the proposed method can effectively identify vulnerable nodes and lines in the DN.

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Section: Introductionmentioning

confidence: 99%

A TOPSIS-Based Vulnerability Assessment Method of Distribution Network Considering Network Topology and Operation Status

Wen,

Lin,

et al. 2023

IEEE Access

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“…Some recent studies have focused on analyzing the propagation features of cascading failures. The studies in [12][13][14][15] only consider the pure topological indices of the electric power transmission networks to assess the vulnerability of power systems. However, these approaches are far from power dynamics in power transmission systems, because they largely ignore the electric system properties, such as the power flow.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Fault Propagation Analysis of Cyber–Physical Power System

2020

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In cyber–physical power systems (CPPSs), the interaction mechanisms between physical systems and cyber systems are becoming more and more complicated. Their deep integration has brought new unstable factors to the system. Faults or attacks may cause a chain reaction, such as control failure, state deterioration, or even outage, which seriously threatens the safe and stable operation of power grids. In this paper, given the interaction mechanisms, we propose an interdependent model of CPPS, based on a characteristic association method. Utilizing this model, we can study the fault propagation mechanisms when faulty or under cyber-attack. Simulation results quantitatively reveal the propagation process of fault risks and the impacts on the CPPS due to the change of state quantity of the system model.

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Electrical Network Operational Vulnerability Evaluation Based on Small-World and Scale-Free Properties

et al. 2019

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Assessment of electrical network vulnerability based on complex network theory (CNT) has attracted increasing attention. However, CNT focuses on analyzing the structural vulnerability and has significant limitations regarding operational vulnerability. To address the lack of a comprehensive CNT-based framework to assess operational vulnerability, a temporal-spatial correlation graph (TSCG) that considers the topological, physical, and operational characteristics of electrical networks is proposed. To better assess vulnerability, two metrics, i.e., impact ability and susceptibility of branches, based on symmetric entropy from the load redistribution mechanism of electrical networks and their corresponding TSCGs are proposed. Applications to IEEE 39-bus system, IEEE 118-bus system, and French grid demonstrate that the proposed TSCGs have distinctive features that can intuitively and simply reveal the features of impact ability and susceptibility in CNT.

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The Structural Vulnerability Analysis of Power Grids Based on Overall Information Centrality

Cited by 5 publications

References 16 publications

A TOPSIS-Based Vulnerability Assessment Method of Distribution Network Considering Network Topology and Operation Status

A TOPSIS-Based Vulnerability Assessment Method of Distribution Network Considering Network Topology and Operation Status

Modeling and Fault Propagation Analysis of Cyber–Physical Power System

Electrical Network Operational Vulnerability Evaluation Based on Small-World and Scale-Free Properties

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