DocumentCode
1180407
Title
Online Risk-Based Security Assessment
Author
Ni, Ming ; McCalley, James D. ; Vittal, Vijay ; Tayyib, T.
Author_Institution
Iowa State University, USA; EPRI, USA
Volume
22
Issue
11
fYear
2002
Firstpage
59
Lastpage
59
Abstract
The work was motivated by a perceived increase in the frequency at which power system operators are encountering high stress in bulk transmission systems and the corresponding need to improve security monitoring of these networks. Online risk-based security assessment provides rapid online quantification of the security level associated with an existing or forecasted operating condition. One major advantage of this approach over deterministic online security assessment is that it condenses contingency likelihood and severity into indices that reflect probabilistic risk. Use of these indices in control room decision-making leads to increased understanding of potential network problems, including overload, cascading overload, low voltages, and voltage instability, resulting in improved security related decision-making. Test results on large-scale transmission models retrieved from the energy management system of a U. S. utility company are described.
Keywords
Control systems; Costs; Decision making; Energy management; Power system modeling; Power system protection; Power system reliability; Power system security; System testing; Voltage control; Security assessment; cascading; control center; decision-making; operations; overload; probabilistic risk; uncertainty; voltage instability;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/MPER.2002.4311832
Filename
4311832
Link To Document