DocumentCode :
2067347
Title :
Quantifying the impact of adverse events on the electricity grid as a function of grid topology
Author :
Coles, G. ; Sadovsky, A. ; Pengwei Du
Author_Institution :
GarPacific Northwest Nat. Lab., Richland, WA, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
5
Abstract :
Traditional approaches to the study of grid vulnerability have taken an asset based approach, which seeks to identify those assets most likely to result in grid-wide failures or disruptions in the event that they are compromised. We propose an alternative approach to the study of grid vulnerability, one based on the topological structure of the entire grid. We propose a method that will identify topological parameters most closely related to the ability of the grid to withstand an adverse event. We compare these topological parameters in terms of their impact on the vulnerability metric we have defined, referred to as the grid´s “survivability”. Our approach is motivated by Paul Baran´s work on communications networks, which also studied vulnerability in terms of network-wide parameters. Our approach is useful both as a planning model for evaluating proposed changes to a grid and as a risk assessment tool.
Keywords :
failure analysis; power grids; power system planning; power system simulation; risk management; adverse events; communications networks; electricity grid; grid topology; grid vulnerability; grid-wide disruptions; grid-wide failures; network-wide parameters; planning model; risk assessment; topological structure; vulnerability metric; Power grids; Power system faults; Power system protection; Power system reliability; Power transmission lines; Reliability; Grid vulnerability; risk assessment; topological parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345620
Filename :
6345620
Link To Document :
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