Embedding Spatial Decomposition in Parareal in Time Power System Simulation

Conference · Thu Feb 01 00:00:00 EST 2018

DOI:https://doi.org/10.1109/ISGT.2018.8403389· OSTI ID:1435217

Duan, Nan ^[1]; Dimitrovski, Aleksandar ^[2]; Simunovic, Srdjan  ^[3]; Sun, Kai ^[4]; Qi, Junjian ^[5]; Wang, Jianhui ^[5]

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1. University of Tennessee, Knoxville (UTK)
2. University of Central Florida, Orlando
3. ORNL
4. University of Tennessee (UT)
5. Argonne National Laboratory

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Electricity (OE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1435217
• Resource Relation: Conference: IEEE PES Innovative Smart Grid Technologies (IEEE ISGT 2018) - Washington, District of Columbia, United States of America - 2/19/2018 3:00:00 PM-2/22/2018 3:00:00 PM
• Country of Publication: United States
• Language: English