Aristidou, P orcid.org/0000-0003-4429-0225 and Van Cutsem, T (2014) Algorithmic and Computational Advances for Fast Power System Dynamic Simulations. In: 2014 IEEE PES General Meeting. 2014 IEEE Power and Energy Suppy, General Meeting, 27-31 Jul 2014, Gaylord National Resort & Convention , Washington, USA. IEEE ISBN 978-1-4799-6415-4
Abstract
In this paper, some algorithmic and computational advances are presented for power system dynamic simulations. The heart is a Schur-complement-based solution algorithm, stemming from domain decomposition methods, applied to the differential-algebraic equation model. This algorithm is then accelerated computationally, by employing parallel computing techniques, and numerically, by exploiting time-scale decomposition and localization. Models of a real medium-scale system and a realistic large-scale test system are used for the performance evaluation of the proposed methods.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2014 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. |
Keywords: | dynamic security assessment; differential-algebraic equations; time simulation; Schur-complement; parallel processing; Newton method; localization |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jul 2017 09:00 |
Last Modified: | 08 Feb 2018 17:02 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/PESGM.2014.6938851 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108781 |