Genis Mendoza, F., Bauso, D. and Namerikawa, T. (2017) Transient dynamics of heterogeneous micro grids using second order consensus. In: 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM). 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM), 01-04 Nov 2017, Rabat, Morocco. IEEE ISBN 978-1-5386-2123-3
Abstract
This paper deals with a network of interconnected micro grids. The transient dynamics is modelled as an averaging process involving dynamic agents in a network. An analysis of the convergence of the consensus dynamics is provided using a network model based approach and by exploiting the properties of the corresponding graph-Laplacian matrix. Furthermore an investigation of the transient dynamics is carried out for different damping and inertial parameters and under different time-varying topologies. Finally a simulation is performed based on a model calibrated on an existing network in the UK under parameter uncertainties.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Heterogeneous; network; micro grids; consensus; transient dynamics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Mr Fernando Genis Mendoza |
Date Deposited: | 03 Apr 2019 10:07 |
Last Modified: | 04 Apr 2019 09:10 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/WINCOM.2017.8238210 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144275 |