Identifying vulnerable lines in a power network using complex network theory

Dwivedi, Ajendra; Yu, Xinghuo; Sokolowski, Peter

doi:10.1109/isie.2009.5214082

Cited by 71 publications

(49 citation statements)

References 14 publications

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“…This method originated from graph theory and studies the subject systems from the point of view of structure and dynamic function of an array of nodes and lines without heavily relying on the system dimensionality [3], which makes it very suitable for the analysis of large-scale systems. However, as discussed above, most of the existing literature on this issue [3] and [11][12][13][14][15][16][17][18] rigorously requires that the weight of each link must be known and does not consider the system's controllability, which seriously limits its applications in real systems. Compared with the conventional methods mentioned above, the method in this paper presented a new way to analyze the vulnerability of power systems by considering the system structure controllability, which is suitable to assessing the vulnerability of large-scale power systems as it does not contain complex operations.…”

Section: Case Study 5: Comparison With the Conventional Methodsmentioning

confidence: 99%

“…Recent developments in this field have opened up a new way to power system research. In recent years, there has been an increasing interest in the study of assessing the vulnerability of the power system based on the complex network theory [3,[11][12][13][14][15][16][17][18]. For example, [13] analyzed the structural vulnerability of the North American power grid and concluded that the nodes with high degree play an important role in power systems.…”

Section: Introductionmentioning

confidence: 99%

“…Considering the influence of physical topological structure, the concept of betweenness is proposed to identify important nodes or lines in [14][15][16][17]. Additionally, a novel betweenness index was defined in [11], in which the reactance was defined as the weight of the lines. However, it is not necessary that the power only flows through the shortest path in a power system.…”

Section: Introductionmentioning

confidence: 99%

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Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

Zhang

et al. 2015

Applied Sciences

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This paper proposes a new method for assessing the vulnerability of power systems based on the controllability theories of complex networks. A novel controllability index is established, taking into consideration the full controllability of the power systems, for identifying critical nodes. The network controllability model is used to calculate the minimum number of driver nodes (ND), which can solve the computable problems of the controllability of power systems. The proposed approach firstly applies the network controllability theories to research the power systems' vulnerability, which can not only effectively reveal the important nodes but also maintain full control of the power systems. Meanwhile, the method can also overcome the limitation of the hypothesis that the weight of each link or transmission line must be known compared with the existing literature. In addition, the power system is considered as a directed network and the power system model is also redefined. The proposed methodology is then used to identify critical nodes of the IEEE 118 and 300 bus system. The results show that the failure of the critical nodes can clearly increase ND and lead a significant driver node shift. Thus, the rationality and validity are verified.

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Section: Case Study 5: Comparison With the Conventional Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

Zhang

et al. 2015

Applied Sciences

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“…Due to its special structural characteristics, the average shortest path length,the maximum connectivity [17][18][19][20][21][22][23], and the transmission efficiency [24] are not suitable for the analysis of mine power grid.…”

Section: Evaluating Criterionmentioning

confidence: 99%

Topology Modeling and Vulnerability Analysis of China Mine Power Grid Based on Complex Network Theory

Junji¹,

Ma²,

Li³

et al. 2016

IJGDC

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“…This model does not capture the electrical power system's most important trait like impedance which plays a significant role in the flow of power, losses, stability of the system. Several researchers have considered the reactance of the line [9], [27], neglecting the line resistance which is very small for transmission systems. But, in order to generalize the model for both the transmission and the distribution system, the impedance, (i.e., both the reactance and resistance) needs to be taken into consideration.…”

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confidence: 99%

Transient stability assessment of smart power system using complex networks framework

Nasiruzzaman

Pota

2011

2011 IEEE Power and Energy Society General Meeting

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Abstract-In this paper, a new methodology for stability assessment of a smart power system is proposed. The key to this assessment is an index called betweenness index which is based on ideas from complex network theory. The proposed betweenness index is an improvement of previous works since it considers the actual real power flow through the transmission lines along the network. Furthermore, this work initiates a new area for complex system research to assess the stability of the power system. Index Terms--Transient stability, complex network, smart grid, bus admittance matrix. I. INTRODUCTIONANY of the public infrastructures like electric power network are subject to two types of threats: intentional and accidental [1]. Intentional attack can be subdivided into physical or cyber attacks. According to US government accountability office, in 2002, 70 percent of power companies experienced some kind of severe cyber attack to their computing or energy management systems [2]. Physical attacks against key elements of the system are also common. Whether it is going to be a physical or cyber attack, the modern smart grid must resist. The designers of the modern grid should plan for a dedicated, well planned attack prevention strategy. For the modern grid to resist attack it must reduce the vulnerability of the grid to attack by protecting key assets from cyber, physical, or accidental attacks. The complex networks approach to electric power network security would identify key vulnerabilities, assess the likelihood of threats, and determine the consequences of attacks. One of the particular goals of the security program is to identify critical sites and systems.Complex networks, which had been the main research area of graph theory, have drawn interest of researchers from various disciplines as graph theory began to focus on statistics and analytics [3]. A complex network was proposed as a random network [4]. There are other networks whose behaviour falls in between regular and random, and these are classified as small-world networks [5]- [7]. A power system usually falls in the small-world network category [8].A. B. M. Nasiruzzaman and H. R. Pota are with School of Engineering and Information Technology (SEIT) of University of New South Wales at the Australian Defence Force Academy (UNSW@ADFA), Northcott Drive, Canberra, ACT 2600, Australia (e-mail: nasiruzzaman@ieee.org, and h.pota@adfa.edu.au).Complex network theory has been used to model the power system and analyze its several aspects [8]- [13]. The structural vulnerability of the North American power grid was studied after the August 2003 blackout affecting the United States [14]. Similarly, the large scale blackouts and cascading failures motivated analysis of the Italian power grid based on the model for cascading failures [13], [15]. How redistribution of load on nodes due to failure of certain important nodes can cause a cascading failure was also demonstrated [16], [17].Vulnerability analysis models [6]- [11] were initially proposed for complex abstract net...

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Identifying vulnerable lines in a power network using complex network theory

Cited by 71 publications

References 14 publications

Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks

Topology Modeling and Vulnerability Analysis of China Mine Power Grid Based on Complex Network Theory

Transient stability assessment of smart power system using complex networks framework

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