DocumentCode :
3635191
Title :
Cooperation for aggregating complex electric power networks to ensure system observability
Author :
Usman A. Khan;Marija D. Ilić;José M. F. Moura
Author_Institution :
Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA 15213
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we study the cooperative observability conditions for the local observers formulated on large-scale power systems. A complex large-scale power system model can be considered as a union of several low-dimensional sub-systems where local observers are to implemented. Even if the large-scale system is observable, local observers formulated on such sub-systems may be unstable if the resulting local sub-systems are un-observable. The aggregated effect of the sub-systems, although, may lead to observability. Under certain assumptions, we show that the un-observable local sub-systems can lead to observability by allowing appropriate cooperation among the local observers. In particular, the local error covariances of the local observers can be assimilated such that they preserve a certain (approximated) structure of the global error covariance. This results into stable local observers for un-observable, but, cooperating sub-systems. We provide simulations to assert the findings in the paper.
Keywords :
"Observability","Power system modeling","Information filters","Power system dynamics","Load modeling","Information filtering","Large-scale systems","Computational modeling","Power system simulation","Robustness"
Publisher :
ieee
Conference_Titel :
Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA), 2008 First International Conference on
Print_ISBN :
978-1-4244-6887-4
Type :
conf
DOI :
10.1109/INFRA.2008.5439629
Filename :
5439629
Link To Document :
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