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Spectral Characterization of Controllability and Observability for Frequency Regulation Dynamics

Guo, Linqi and Low, Steven H. (2017) Spectral Characterization of Controllability and Observability for Frequency Regulation Dynamics. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE , Piscataway, NJ, pp. 6313-6320. ISBN 978-1-5090-2874-0. http://resolver.caltech.edu/CaltechAUTHORS:20180126-083110449

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Abstract

We give a full characterization using spectral graph theory of the controllability and observability of the swing and power flow dynamics in frequency regulation. In particular, we show that the controllability/observability of the system depends on two orthogonal conditions: 1) intrinsic structure of the system graph 2) algebraic coverage of buses with controllable loads/sensors. Condition 1) encodes information on graph symmetry and is shown to hold for almost all practical systems. Condition 2) captures how buses interact with each other through the network and can be verified using the eigenvectors of the graph Laplacian matrix. Based on this framework, the optimal placement of controllable loads and sensors in the network can be formulated as a set cover problem. We demonstrate how our results identify the critical buses in real systems by performing simulation in the IEEE 39-bus New England interconnection test system. We show that for this testbed, a single well chosen bus is capable of providing full controllability/observability.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/CDC.2017.8264611DOIArticle
http://ieeexplore.ieee.org/document/8264611/PublisherArticle
ORCID:
AuthorORCID
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2017 IEEE. Date Added to IEEE Xplore: 23 January 2018. The authors would like to thank Professor Janusz Bialek from Skoltech, John Pang and Chen Liang from Caltech for helpful discussions. This work has been supported by NSF grants through EPCN 1619352, CNS 1545096 CCF 1637598, ARPA-E grant through award DE-AR0000699 and DTRA through grant HDTRA 1-15-1-0003.
Funders:
Funding AgencyGrant Number
NSFEPCN-1619352
NSFCNS-1545096
NSFCCF-1637598
Advanced Research Projects Agency-Energy (ARPA-E)DE-AR0000699
Defense Threat Reduction Agency (DTRA)HDTRA 1-15-1-0003
Record Number:CaltechAUTHORS:20180126-083110449
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180126-083110449
Official Citation:L. Guo and S. H. Low, "Spectral characterization of controllability and observability for frequency regulation dynamics," 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 2017, pp. 6313-6320. doi: 10.1109/CDC.2017.8264611
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84535
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:31 Jan 2018 00:33
Last Modified:31 Jan 2018 00:33

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