Aristidou, P orcid.org/0000-0003-4429-0225 and Van Cutsem, T (2014) Dynamic simulations of combined transmission and distribution systems using parallel processing techniques. In: Proceedings. 2014 Power Systems Computation Conference (PSCC), 18-22 Aug 2014, Wroclaw, Poland. IEEE ISBN 978-83-935801-3-2
Abstract
Simulating a power system with both transmission and distribution networks modeled in detail is a huge computational challenge. In this paper, we propose a Schur-complement-based domain decomposition algorithm to provide accurate, detailed dynamic simulations of the combined system. The simulation procedure is accelerated with the use of parallel programming techniques, taking advantage of the parallelization opportunities inherent in domain decomposition algorithms. The proposed algorithm is general, portable and scalable on inexpensive, shared-memory, multi-core machines. A large-scale test system is used for its performance evaluation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 IEEE. This is an author produced version of a paper published in Power Systems Computation Conference (PSCC). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | OpenMP, time simulations, domain decomposition methods, parallel computing |
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: | 25 Oct 2016 15:20 |
Last Modified: | 17 Jan 2018 07:43 |
Published Version: | https://doi.org/10.1109/PSCC.2014.7038478 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/PSCC.2014.7038478 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:105997 |