Aristidou, P orcid.org/0000-0003-4429-0225, Lebeau, S and Van Cutsem, T (2016) Power System Dynamic Simulations Using a Parallel Two-Level Schur-Complement Decomposition. IEEE Transactions on Power Systems, 31 (5). pp. 3984-3995. ISSN 0885-8950
Abstract
As the need for faster power system dynamic simulations increases, it is essential to develop new algorithms that exploit parallel computing to accelerate those simulations. This paper proposes a parallel algorithm based on a two-level, Schur-complement-based, domain decomposition method. The two-level partitioning provides high parallelization potential (coarse- and fine-grained). In addition, due to the Schur-complement approach used to update the sub-domain interface variables, the algorithm exhibits high global convergence rate. Finally, it provides significant numerical and computational acceleration. The algorithm is implemented using the shared-memory parallel programming model, targeting inexpensive multi-core machines. Its performance is reported on a real system as well as on a large test system combining transmission and distribution networks.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 IEEE. This is an author produced version of a paper published in IEEE Transactions on Power Systems. 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: | Power system dynamics, Mathematical model, Computational modeling, Satellites, Heuristic algorithms, Acceleration; shared-memory, Domain decomposition methods, OpenMP, power system dynamic simulation, Schur-complement |
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: | 14 Oct 2016 13:53 |
Last Modified: | 19 Jan 2018 21:53 |
Published Version: | http://dx.doi.org/10.1109/TPWRS.2015.2509023 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/TPWRS.2015.2509023 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:105986 |