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).
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;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582861
