On complex network approach for fault detection in power grids

Yu, Xinghuo; Dwivedi, Ajendra; Sokolowski, Peter

doi:10.1109/icca.2009.5410218

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…Table I summarizes the elements of the weight matrix for IEEE 30 bus system. [3][4] 0.0132 + 0.0379i w [15][16][17][18][19][20][21][22][23] 0.1000 + 0.2020i w [4][5][6] 0.0119 + 0.0414i w [16][17] 0.0824 + 0.1923i w4-12 0.0000 + 0.2560i w18-19 0.0639 + 0.1292i w [6][7] 0.0267 + 0.0820i w 0.0340 + 0.0680i w [6][7][8] 0.0120 + 0.0420i w 0.0116 + 0.0236i w6-9 0.0000 + 0.2080i w22-24 0.1150 + 0.1790i w [6][7][8][9][10] 0.0000 + 0.5560i w [23][24] …”

Section: Power System As a Complex Networkmentioning

confidence: 99%

“…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 networks and were then used in power systems [1], [7]-[15]. However, those physicists' work neglected some concrete engineering features.…”

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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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Section: Power System As a Complex Networkmentioning

confidence: 99%

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confidence: 98%

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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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“…If various sub-stations are considered to be nodes of a large network then it would be useful to be able identify the faulty section and locate the fault all at once. Yu et al reported the potential use of network theory in power system research and in locating faults [20]. This paper combines the knowledge of travelling wave based methodology with the network theory and proposes a novel technique to solve the above mentioned problem.…”

Section: Introductionmentioning

confidence: 98%

Fault location in power networks using graph theory

Dwivedi

Sokolowski

et al. 2010

IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society

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This paper proposes a method for analyzing the vulnerability of a power system using network theory. It locates fault by combining the travelling waves methodology with the network topology to isolate the faulty link first and then locate the fault distance. The algorithm is verified on a test power network using Alternate Transients Program/Electromagnetic Transients Program (ATP/EMTP) and Matlab. The time stamps recorded are combined with the network topology to isolate the faulty link and calculate the fault distance.

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