Vulnerability Analysis of Power Grids Using Modified Centrality Measures
Author(s) -
Francisco Gutierrez,
E. Barocio,
F. A. Uribe,
Pavel Zúñiga
Publication year - 2013
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2013/135731
Subject(s) - betweenness centrality , centrality , closeness , computer science , vulnerability (computing) , dependency (uml) , grid , vulnerability assessment , katz centrality , power (physics) , data mining , theoretical computer science , mathematics , artificial intelligence , statistics , computer security , physics , psychology , mathematical analysis , geometry , quantum mechanics , psychological resilience , psychotherapist
The aim of this paper is to propose modified centrality measures as a tool to identify critical nodes before a vulnerability analysis is performed in an electrical power grid. Pair dependency centrality is weighted using the grid active power flow, and this becomes the basis to define closeness and betweenness of its nodes, and hence to identify the most critical ones. To support the idea of using modified centralities, four power grids are tested to be either exponential or scale-free. To evaluate the proposal, information obtained via modified centrality measures is used to calculate global efficiency of the power grids
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom