A parallelization-in-time approach for accelerating EMT simulations

Ming Cai; Jean Mahseredjian; Ilhan Kocar; Xiaopeng Fu; Aboutaleb Haddadi

doi:10.1016/j.epsr.2021.107346

A parallelization-in-time approach for accelerating EMT simulations

Ming Cai, Jean Mahseredjian, Ilhan Kocar, Xiaopeng Fu, Aboutaleb Haddadi

Research output: Journal article publication › Journal article › Academic research › peer-review

5 Citations (Scopus)

Abstract

This paper is related to research on parallelization techniques for the simulation of electromagnetic transients (EMTs). It presents a new approach based on a parallel-in-time equation grouping and reordering (PEGR) technique whose original theoretical formulation is modified, extended and generalized from state-space to the modified-augmented-nodal analysis (MANA) formulation method. The highly efficient sparse linear solver KLU is incorporated in the approach for power system network matrix solution. The proposed approach is implemented with OpenMP Multithreading for CPU-based parallelization. Test results show that EMT simulations can be accelerated by exploiting the intrinsic independency of certain solution procedures using the PEGR technique.

Original language	English
Article number	107346
Journal	Electric Power Systems Research
Volume	197
DOIs	https://doi.org/10.1016/j.epsr.2021.107346
Publication status	Published - Aug 2021
Externally published	Yes

Keywords

Electromagnetic transients
Equation grouping and reordering
KLU
OpenMP
Parallelization-in-time

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1016/j.epsr.2021.107346

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title = "A parallelization-in-time approach for accelerating EMT simulations",

abstract = "This paper is related to research on parallelization techniques for the simulation of electromagnetic transients (EMTs). It presents a new approach based on a parallel-in-time equation grouping and reordering (PEGR) technique whose original theoretical formulation is modified, extended and generalized from state-space to the modified-augmented-nodal analysis (MANA) formulation method. The highly efficient sparse linear solver KLU is incorporated in the approach for power system network matrix solution. The proposed approach is implemented with OpenMP Multithreading for CPU-based parallelization. Test results show that EMT simulations can be accelerated by exploiting the intrinsic independency of certain solution procedures using the PEGR technique.",

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author = "Ming Cai and Jean Mahseredjian and Ilhan Kocar and Xiaopeng Fu and Aboutaleb Haddadi",

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AU - Cai, Ming

AU - Mahseredjian, Jean

AU - Kocar, Ilhan

AU - Fu, Xiaopeng

AU - Haddadi, Aboutaleb

PY - 2021/8

Y1 - 2021/8

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AB - This paper is related to research on parallelization techniques for the simulation of electromagnetic transients (EMTs). It presents a new approach based on a parallel-in-time equation grouping and reordering (PEGR) technique whose original theoretical formulation is modified, extended and generalized from state-space to the modified-augmented-nodal analysis (MANA) formulation method. The highly efficient sparse linear solver KLU is incorporated in the approach for power system network matrix solution. The proposed approach is implemented with OpenMP Multithreading for CPU-based parallelization. Test results show that EMT simulations can be accelerated by exploiting the intrinsic independency of certain solution procedures using the PEGR technique.

KW - Electromagnetic transients

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JO - Electric Power Systems Research

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A parallelization-in-time approach for accelerating EMT simulations

Abstract

Keywords

ASJC Scopus subject areas

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