An enhanced cascading failure model integrating data mining technique

Sun, Qibo; Shi, Libao; Ni, Yixin; Si, Dajun; Zhu, Jizhong

doi:10.1186/s41601-017-0035-3

Cited by 26 publications

(12 citation statements)

References 15 publications

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“…We employ primary frequency regulation to adjust the power flow. The characteristics of load and generation frequency are given by (8) and 9, respectively.…”

Section: Dynamic Power Flow and Overloadmentioning

confidence: 99%

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Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber‐Physical Systems in Smart Grids

et al. 2019

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Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication networks and electrical networks, once communication networks fail (or are attacked), the faults can be easily propagated to electrical networks which even lead to cascading blackout; therefore it is crucial to investigate the impacts of failures of communication networks on the operation of electrical networks. This paper focuses on cascading failures in interdependent systems from the perspective of cyber-physical security. In the interdependent fault propagation model, the complex network-based virus propagation model is used to describe virus infection in the scale-free and small-world topologically structured communication networks. Meanwhile, in the electrical network, dynamic power flow is employed to reproduce the behaviors of the electrical networks after a fault. In addition, two time windows, i.e., the virus infection cycle and the tripping time of overloaded branches, are considered to analyze the fault characteristics of both electrical branches and communication nodes along time under virus propagation. The proposed model is applied to the IEEE 118-bus system and the French grid coupled with different communication network structures. The results show that the scale-free communication network is more vulnerable to virus propagation in smart cyber-physical grids.

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“…We employ primary frequency regulation to adjust the power flow. The characteristics of load and generation frequency are given by (8) and 9, respectively.…”

Section: Dynamic Power Flow and Overloadmentioning

confidence: 99%

“…For example, the Italian blackout of 2003 was triggered by effects of the ECN [7]. Therefore, exploring the propagation mechanism of interactive cascading failures [8] in an interdependent network has been receiving increasing attention.…”

Section: Introductionmentioning

confidence: 99%

Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber‐Physical Systems in Smart Grids

et al. 2019

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“…On the attack side [1], the aim is to cause large-scale power outage as much as possible, which results in any property loss directly or social disorder indirectly by attacking the critical branches (or nodes) at minimal cost. On the defense side [2], focusing on protecting the critical branches is conducive to reducing the risk of network faults, especially, cascading failures [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Adjacent Graph Based Vulnerability Assessment for Electrical Networks Considering Fault Adjacent Relationships Among Branches

et al. 2019

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Security issues related to vulnerability assessment in electrical networks are necessary for operators to identify the critical branches. At present, using complex network theory to assess the structural vulnerability of the electrical network is a popular method. However, the complex network theory cannot be comprehensively applicable to the operational vulnerability assessment of the electrical network because the network operation is closely dependent on the physical rules not only on the topological structure. To overcome the problem, an adjacent graph (AG) considering the topological, physical, and operational features of the electrical network is constructed to replace the original network. Through the AG, a branch importance index that considers both the importance of a branch and the fault adjacent relationships among branches is constructed to evaluate the electrical network vulnerability. The IEEE 118-bus system and the French grid are employed to validate the effectiveness of the proposed method. INDEX TERMS Vulnerability, complex network theory, adjacent graph, branch importance index. NOMENCLATURE ACRONYMS ENV Electrical network vulnerability AG Adjacent graph LRM Load redistribution model BIM Branch importance metric BLAI Branch loading assessment index OPF Optimal power flow NNR Nearest neighbor redistribution rule USR Uniform sharing redistribution rule CNT Complex network theory BLAI Branch loading assessment index The associate editor coordinating the review of this manuscript and approving it for publication was Weisi Guo.

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“…Also, recently, artificial intelligence has also been used for investigating catastrophic failures in the power grid. An enhanced cascading failure model was proposed in Sun et al 2017, integrating data mining techniques to simulate the process of cascading failure propagation in better way. However, the above research studies have not discussed adequately regarding methodologies to prevent cascading failures and blackouts.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Modeling of Protection System Hidden Failures and Its Impact on Power System Cascading Events

Pal

Mallikarjuna

Reddy

et al. 2019

J Control Autom Electr Syst

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In this paper, a detailed study of the modes of hidden failures (HFs) in protection systems is carried out, and probabilistic modeling methodology is used for analyzing the impact of HFs on the power system cascading events. Further, the probabilistic model of HFs based on impedance and line power flow is hypothesized for qualitative evaluation of HF's impact on power system cascading disruptions. Numerous case studies have been carried out on the IEEE-118 bus system to assess the effect of HFs by fitting the probability model of line outage based on impedance and power flow. This analysis has successfully identified the most sensitive transmission lines in the network which are having the highest tendency to trip in case of protective system HFs. Also, it has been shown that the probability of major blackouts will be reduced to a more significant extent if the self-checking and monitoring features are incorporated into digital relays. The qualitative analysis of protection system HFs could be helpful in planning, service and maintenance scheduling of a power system as well as determining the locations where an investment warrants the protection system reliability.

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An enhanced cascading failure model integrating data mining technique

Cited by 26 publications

References 15 publications

Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber‐Physical Systems in Smart Grids

Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber‐Physical Systems in Smart Grids

Adjacent Graph Based Vulnerability Assessment for Electrical Networks Considering Fault Adjacent Relationships Among Branches

Analysis and Modeling of Protection System Hidden Failures and Its Impact on Power System Cascading Events

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