DocumentCode
3174764
Title
Synchronization assessment in power networks and coupled oscillators
Author
Dorfler, Florian ; Chertkov, Michael ; Bullo, Francesco
Author_Institution
Center for Control, Dynamical Syst. & Comput., Univ. of California at Santa Barbara, Santa Barbara, CA, USA
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
4998
Lastpage
5003
Abstract
Synchronization problems in complex networks have recently attracted tremendous scientific interested. Moreover, assessing the existence, stability, and robustness of synchronous states is a pervasive topic in the operation of power networks. Scientists in both communities have long aimed to identify sharp synchronization conditions as functions of the network topology and parameters. This paper proposes an insightful approach to this problem based on algebraic graph theory. We present a novel synchronization condition applicable to a general coupled oscillator model. We rigorously establish that our condition is exact for various interesting network topologies and parameters. Via statistical studies we show that our condition predicts accurately the existence of stable synchronous solutions for generic networks as well as various power network test cases. From these statistical studies, we conclude that our proposed condition is correct for almost all network topologies and parameters. Indeed, we also show that there exist possibly-thin sets of network topologies and parameters, where our condition is not sufficiently tight.
Keywords
algebra; graph theory; oscillators; power system stability; statistical analysis; algebraic graph theory; general coupled oscillator model; generic networks; network parameters; network topology; possibly-thin sets; power network test; statistical studies; synchronization assessment; synchronous states; Equations; Mathematical model; Network topology; Oscillators; Power system stability; Synchronization; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6426586
Filename
6426586
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