Embedding spatial decomposition in parareal in time power system simulation

Nan Duan, Aleksandar Dimitrovski, Srdjan Simunovic, Kai Sun, Junjian Qi, Jianhui Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publication2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538624531
DOIs
StatePublished - Jul 3 2018
Event2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018 - Washington, United States
Duration: Feb 19 2018Feb 22 2018

Publication series

Name2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018

Conference

Conference2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018
Country/TerritoryUnited States
CityWashington
Period02/19/1802/22/18

Funding

This manuscript has been authored by UT-Battelle, LLC, under Contract No. DE-AC0500OR22725 with the U.S. Department of Energy.

FundersFunder number
U.S. Department of EnergyDE-AC0500OR22725

    Keywords

    • High-performance computing
    • Parareal in time
    • parallel algorithms
    • power system dynamics
    • spatial decomposition
    • transient stability

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