Embedding Spatial Decomposition In Parareal In Time Power System Simulation
Keywords
High-performance computing; parallel algorithms; Parareal in time; power system dynamics; spatial decomposition; transient stability
Abstract
We propose an approach for combining two decompositions in power system simulation, temporal and spatial, with a goal to achieve faster simulation time than utilizing either one of them alone. The proposed approach builds upon the structure of the Parareal algorithm for temporal decomposition and explores an efficient way of embedding the spatial decomposition into its coarse and fine solutions. This introduces two types of simultaneous parallelism in power system simulations - parallelism between system areas and between coarse integration intervals for time integration. The results from the application of the proposed approach are shown on a two-area system comprised of the IEEE 16-machine, 68-bus, and the IEEE 50-machine, 145-bus system.
Publication Date
7-3-2018
Publication Title
2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018
Number of Pages
1-6
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ISGT.2018.8403389
Copyright Status
Unknown
Socpus ID
85050671389 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85050671389
STARS Citation
Duan, Nan; Dimitrovski, Aleksandar; Simunovic, Srdjan; Sun, Kai; and Qi, Junjian, "Embedding Spatial Decomposition In Parareal In Time Power System Simulation" (2018). Scopus Export 2015-2019. 7577.
https://stars.library.ucf.edu/scopus2015/7577