DocumentCode
86732
Title
Interdiction Analysis of Electric Grids Combining Cascading Outage and Medium-Term Impacts
Author
Yezhou Wang ; Baldick, Ross
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Volume
29
Issue
5
fYear
2014
fDate
Sept. 2014
Firstpage
2160
Lastpage
2168
Abstract
This paper presents an improved interdiction model to identify maximal electric grid attacks. The contribution of the model is that it incorporates both short-term (seconds to minutes) and medium-term (minutes to days) impacts of the possible attack. The medium-term impacts are examined by an interdicted dc optimal power flow model. The short-term impacts are addressed by a cascading outage analysis model that uses a set of sequentially applied checkers to perform the simulation of the cascading outage events and assess the short-term impacts of a blackout subsequent to specified terrorist attacks. An integer programming heuristic is applied that can utilize standard optimization software (e.g. CPLEX) to solve master problems generated by the heuristic. The proposed model has been verified using the IEEE 300-Bus Test System and IEEE RTS 96 Test System. Discussions of the results and future research plans are also presented in this paper.
Keywords
heuristic programming; integer programming; load flow; power grids; power system reliability; power system security; IEEE 300-bus test system; IEEE RTS 96 test system; cascading outage analysis model; cascading outage event simulation; cascading outage-term impacts; electric grid interdiction analysis; integer programming heuristic; interdicted dc optimal power flow model; maximal electric grid attack identification; medium-term impacts; standard optimization software; Load modeling; Power system stability; Relays; Stability analysis; Terrorism; Transient analysis; Cascading outages; interdiction; power flow; power system security;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2300695
Filename
6730731
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