DocumentCode
3118770
Title
Distributed Model Predictive Control for the Mitigation of Cascading Failures
Author
Talukdar, Sarosh ; Jia, Dong ; Hines, Paul ; Krogh, Bruce H.
Author_Institution
Fellow, IEEE, Carnegie Mellon U., Electrical and Computer Engineering Dept. and the Dept. of Engineering and Public Policy. (talukdar@ece.cmu.edu).
fYear
2005
fDate
12-15 Dec. 2005
Firstpage
4440
Lastpage
4445
Abstract
Most large blackouts are caused by cascading failures—sequences of equipment outages, one set of outages precipitating another. We study the application of distributed, autonomous agents for shortening such sequences. Each agent controls a single variable—the consumption of a load or the output of a generator. Each agent uses model predictive control and cooperates with its neighbors in making its decisions. Experiments using the IEEE 118 bus test case illustrate the effectiveness of this method.
Keywords
Constraint optimization; Large-scale systems; Optimal control; Power system faults; Power system modeling; Power system protection; Predictive control; Predictive models; Public policy; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN
0-7803-9567-0
Type
conf
DOI
10.1109/CDC.2005.1582861
Filename
1582861
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