Embedding spatial decomposition in parareal in time power system simulation

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

doi:10.1109/ISGT.2018.8403389

Embedding spatial decomposition in parareal in time power system simulation

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

Multiscale Materials

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 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 language	English
Title of host publication	2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538624531
DOIs	https://doi.org/10.1109/ISGT.2018.8403389
State	Published - Jul 3 2018
Event	2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018 - Washington, United States Duration: Feb 19 2018 → Feb 22 2018

Publication series

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

Conference

Conference	2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018
Country/Territory	United States
City	Washington
Period	02/19/18 → 02/22/18

Funding

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

Keywords

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

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10.1109/ISGT.2018.8403389

Cite this

Duan, N., Dimitrovski, A., Simunovic, S., Sun, K., Qi, J., & Wang, J. (2018). Embedding spatial decomposition in parareal in time power system simulation. In 2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018 (pp. 1-6). (2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT.2018.8403389

Duan, Nan ; Dimitrovski, Aleksandar ; Simunovic, Srdjan et al. / Embedding spatial decomposition in parareal in time power system simulation. 2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6 (2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018).

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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.",

keywords = "High-performance computing, Parareal in time, parallel algorithms, power system dynamics, spatial decomposition, transient stability",

author = "Nan Duan and Aleksandar Dimitrovski and Srdjan Simunovic and Kai Sun and Junjian Qi and Jianhui Wang",

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Duan, N, Dimitrovski, A, Simunovic, S, Sun, K, Qi, J & Wang, J 2018, Embedding spatial decomposition in parareal in time power system simulation. in 2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018. 2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018, Washington, United States, 02/19/18. https://doi.org/10.1109/ISGT.2018.8403389

Embedding spatial decomposition in parareal in time power system simulation. / Duan, Nan; Dimitrovski, Aleksandar; Simunovic, Srdjan et al.
2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Embedding spatial decomposition in parareal in time power system simulation

AU - Duan, Nan

AU - Dimitrovski, Aleksandar

AU - Simunovic, Srdjan

AU - Sun, Kai

AU - Qi, Junjian

AU - Wang, Jianhui

PY - 2018/7/3

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N2 - 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.

AB - 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.

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KW - Parareal in time

KW - parallel algorithms

KW - power system dynamics

KW - spatial decomposition

KW - transient stability

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Duan N, Dimitrovski A, Simunovic S, Sun K, Qi J, Wang J. Embedding spatial decomposition in parareal in time power system simulation. In 2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6. (2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018). doi: 10.1109/ISGT.2018.8403389

Embedding spatial decomposition in parareal in time power system simulation

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