Schiffer, J orcid.org/0000-0001-5639-4326, Dörfler, F and Fridman, E (2017) Robustness of Distributed Averaging Control in Power Systems: Time Delays & Dynamic Communication Topology. Automatica, 80. pp. 261-271. ISSN 0005-1098
Abstract
Distributed averaging-based integral (DAI) controllers are becoming increasingly popular in power system applications. The literature has thus far primarily focused on disturbance rejection, steady-state optimality and adaption to complex physical system models without considering uncertainties on the cyber and communication layer nor their effect on robustness and performance. In this paper, we derive sufficient delay-dependent conditions for robust stability of a secondary-frequency-DAI-controlled power system with respect to heterogeneous communication delays, link failures and packet losses. Our analysis takes into account both constant as well as fast-varying delays, and it is based on a common strictly decreasing Lyapunov–Krasovskii functional. The conditions illustrate an inherent trade-off between robustness and performance of DAI controllers. The effectiveness and tightness of our stability certificates are illustrated via a numerical example based on Kundur’s four-machine-two-area test system.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier Ltd. This is an author produced version of a paper published in Automatica. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Funding Information: | Funder Grant number EU - European Union GA 734832 |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Feb 2017 12:37 |
Last Modified: | 28 Mar 2018 00:38 |
Published Version: | https://doi.org/10.1016/j.automatica.2017.02.040 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.automatica.2017.02.040 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112017 |