NDLI: Analyzing power network vulnerability with maximum flow based centrality approach

Content Provider	IEEE Xplore Digital Library
Author	Dwivedi, A. Xinghuo Yu Sokolowski, P.
Copyright Year	2010
Description	Author affiliation: School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia (Dwivedi, A.; Xinghuo Yu; Sokolowski, P.)
Abstract	Complex network theory has been studied extensively in solving large scale practical problems and the recent developments have given a new direction to power system research. This theory allows modeling a power system as a network and the latest developments incorporate more and more electrical properties as opposed to the topological analysis in the past. In the past, such networks have been analyzed based on shortest path travel and betweenness index. In a power system, the power might not necessarily flow only through the shortest path so this paper proposes a centrality index based on the maximum power flow through the edges. The links which carry more portion of power from the source (generator) to sink (load) are given a higher weight in this analysis. Few simple cases have been explained and then the algorithm has been demonstrated on the IEEE 39 bus system.
Starting Page	336
Ending Page	341
File Size	766986
Page Count	6
File Format	PDF
ISBN	9781424472987
e-ISBN	9781424473007
DOI	10.1109/INDIN.2010.5549398
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-13
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	power system Power grids power grid Power system modeling Power system faults Load flow minimum cut Power system protection Power system analysis computing Complex networks Complex network maximum flow Robustness Large-scale systems Power generation cascading failures
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Vulnerability assessment of bulk power grid based on complex network theory

A network approach for power grid robustness against cascading failures

Measuring Cascading Failures for Smart Grids Vulnerability Assessment

Influence of enhanced interconnecting links on cascading failures in smart grid

Modeling cascading failures in smart power grid using interdependent complex networks and percolation theory

Power Grid Vulnerability Identifying Based on Complex Network Theory

Research on cascading failure spreading mechanism in the Henan power grid with scale-free network characteristic

Research on cascading failure spreading mechanism in the power grid with scale-free network characteristic

Cascading failures in smart grid: Joint effect of load propagation and interdependence

Analyzing power network vulnerability with maximum flow based centrality approach

Similar Documents

Vulnerability assessment of bulk power grid based on complex network theory

A network approach for power grid robustness against cascading failures

Measuring Cascading Failures for Smart Grids Vulnerability Assessment

Influence of enhanced interconnecting links on cascading failures in smart grid

Modeling cascading failures in smart power grid using interdependent complex networks and percolation theory

Power Grid Vulnerability Identifying Based on Complex Network Theory

Research on cascading failure spreading mechanism in the Henan power grid with scale-free network characteristic

Research on cascading failure spreading mechanism in the power grid with scale-free network characteristic

Cascading failures in smart grid: Joint effect of load propagation and interdependence

Analyzing power network vulnerability with maximum flow based centrality approach