A study of the impacts of flow direction and electrical constraints on vulnerability assessment of power grid using electrical betweenness measures

Wu, Di; Ma, Feng; Javadi, Milad; Bompard, Ettore; Jiang, Jiping

doi:10.1016/j.physa.2016.09.029

Cited by 28 publications

(7 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recovery of information of the failed entities in a power grid after a failure event was studied in [24]. Topology based vulnerability assessment in power netowkr has been reported in [25], [26], [27]. As we rely on PMU data of the power network for generating the dependency equations, we investigated the current status of utilizing PMU data in addressing the complex inter-dependency issues.…”

Section: Related Workmentioning

confidence: 99%

Finding $K$ Contingency List in Power Networks using a New Model of Dependency

Banerjee,

Pal,

Basu

et al. 2017

Preprint

View full text Add to dashboard Cite

Smart grid systems are composed of power and communication network components. The components in either network exhibit complex dependencies on components in its own as well as the other network to drive their functionality. Existing, models fail to capture these complex dependencies. In this paper, we restrict to the dependencies in the power network and propose the Multi-scale Implicative Interdependency Relation (MIIR) model that address the existing limitations. A formal description of the model along with its working dynamics and a brief validation with respect to the 2011 Southwest blackout are provided. Utilizing the MIIR model, the K Contingency List problem is proposed. For a given time instant, the problem solves for a set of K entities in a power network which when failed at that time instant would cause the maximum number of entities to fail eventually. Owing to the problem being NP-complete we devised a Mixed Integer Program (MIP) to obtain the optimal solution and a polynomial time sub-optimal heuristic. The efficacy of the heuristic with respect to the MIP is compared by using different bus system data. In general, the heuristic is shown to provide near optimal solution at a much faster time than the MIP.

show abstract

Section: Related Workmentioning

confidence: 99%

Finding $K$ Contingency List in Power Networks using a New Model of Dependency

Banerjee,

Pal,

Basu

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…Topological analysis approaches identify grid vulnerabilities by evaluating node connections. Historically, betweenness centrality has successfully been applied to the electric grid to identify critical lines that would result in the highest percentage of lost load [18] or assess line limits [19]. One research paper found that when using topological procedures the analysis can consider the system's structures and the con-nected generators and loads [20], which are included in this analysis.…”

Section: Introductionmentioning

confidence: 99%

Electric Grid Vulnerability Analysis to Identify Communities Prone to Wildfires

Jones¹,

Bresloff

Darbali-Zamora

2023

IEEE Access

View full text Add to dashboard Cite

Natural hazards, like wildfires, present various challenges to the electric grid that can leave many communities without power. To identify vulnerabilities in the grid and the corresponding at-risk communities, this work considers the implementation of two topological assessment approaches, namely betweenness centrality and minimum cut, and combines the results from each with spatial fire probability data. The results from a betweenness centrality analysis identified at-risk communities whose critical lines, necessary for routing power to the community from the numerous generators, were found to be at-risk if they were located within high probability burn zones. Communities at-risk of separation from the grid with one cut (or electrical shorting) of a transmission line due it's proximity to a high burn probability (BP) area were also identified using the minimum cut Graph Theory algorithm. When the methodologies were applied to a demonstration transmission grid, the results found that about about one third of the 585 substations had centrally located lines in high BP areas. About 46% of the substations require just one cut to be removed from the grid, and the average length of these one-cut segments were 37 km with the longest at 188 km.

show abstract

“…Recovery interventions are considered for mitigating cascading failures in a real network scenario of CPPS in [13]. In [14], the impacts of flow directions and line limits were analyzed and new electrical betweenness measures are proposed for power grid vulnerability assessment.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Vulnerability Analysis of Cyber-Physical Power Systems Based on Interdependent Networks

et al. 2019

View full text Add to dashboard Cite

The strong coupling between the power grid and communication systems may contribute to failure propagation, which may easily lead to cascading failures or blackouts. In this paper, in order to quantitatively analyse the impact of interdependency on power system vulnerability, we put forward a “degree–electrical degree” independent model of cyber-physical power systems (CPPS), a new type of assortative link, through identifying the important nodes in a power grid based on the proposed index–electrical degree, and coupling them with the nodes in a communication system with a high degree, based on one-to-one correspondence. Using the double-star communication system and the IEEE 118-bus power grid to form an artificial interdependent network, we evaluated and compare the holistic vulnerability of CPPS under random attack and malicious attack, separately based on three kinds of interdependent models: “degree–betweenness”, “degree–electrical degree” and “random link”. The simulation results demonstrated that different link patterns, coupling degrees and attack types all can influence the vulnerability of CPPS. The CPPS with a “degree–electrical degree” interdependent model proposed in this paper presented a higher robustness in the face of random attack, and moreover performed better than the degree–betweenness interdependent model in the face of malicious attack.

show abstract

A study of the impacts of flow direction and electrical constraints on vulnerability assessment of power grid using electrical betweenness measures

Cited by 28 publications

References 38 publications

Finding $K$ Contingency List in Power Networks using a New Model of Dependency

Finding $K$ Contingency List in Power Networks using a New Model of Dependency

Electric Grid Vulnerability Analysis to Identify Communities Prone to Wildfires

Modelling and Vulnerability Analysis of Cyber-Physical Power Systems Based on Interdependent Networks

Contact Info

Product

Resources

About