Emerging Computing Architectures: Simulation of Power Electronics in Power Grids

Suman Debnath; Phani R.V. Marthi; Jongchan Choi; Ryan Bennink

doi:10.1109/ECCE53617.2023.10362503

Emerging Computing Architectures: Simulation of Power Electronics in Power Grids

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

Abstract

As the penetration of power electronics increases in power grids, new computing architectures needed to be evaluated for the simulation of high-fidelity models of power electronics in power grids in operations. In this paper, emerging computing architectures such as quantum processing units are evaluated for the simulation of power electronics in power grids. A hybrid algorithm based on classical computing and quantum computing is developed and tested for different use cases of electromagnetic transient (EMT) simulation of power electronics (PE)-based systems and simple circuits. The algorithms needed to simulate power electronics in emerging computing architectures are discussed and thereafter, simulation results are shown.

Original language	English
Title of host publication	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	704-711
Number of pages	8
ISBN (Electronic)	9798350316445
DOIs	https://doi.org/10.1109/ECCE53617.2023.10362503
State	Published - 2023
Event	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 - Nashville, United States Duration: Oct 29 2023 → Nov 2 2023

Publication series

Name	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

Conference

Conference	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Country/Territory	United States
City	Nashville
Period	10/29/23 → 11/2/23

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-EE0002064 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://www.energy.gov/doe-public-access-plan).

Keywords

EMT simulation
Quantum processing units
power electronics

Access to Document

10.1109/ECCE53617.2023.10362503

Cite this

Debnath, S., Marthi, P. R. V., Choi, J., & Bennink, R. (2023). Emerging Computing Architectures: Simulation of Power Electronics in Power Grids. In 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 (pp. 704-711). (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE53617.2023.10362503

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title = "Emerging Computing Architectures: Simulation of Power Electronics in Power Grids",

abstract = "As the penetration of power electronics increases in power grids, new computing architectures needed to be evaluated for the simulation of high-fidelity models of power electronics in power grids in operations. In this paper, emerging computing architectures such as quantum processing units are evaluated for the simulation of power electronics in power grids. A hybrid algorithm based on classical computing and quantum computing is developed and tested for different use cases of electromagnetic transient (EMT) simulation of power electronics (PE)-based systems and simple circuits. The algorithms needed to simulate power electronics in emerging computing architectures are discussed and thereafter, simulation results are shown.",

keywords = "EMT simulation, Quantum processing units, power electronics",

author = "Suman Debnath and Marthi, \{Phani R.V.\} and Jongchan Choi and Ryan Bennink",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 ; Conference date: 29-10-2023 Through 02-11-2023",

year = "2023",

doi = "10.1109/ECCE53617.2023.10362503",

language = "English",

series = "2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Debnath, S , Marthi, PRV , Choi, J & Bennink, R 2023, Emerging Computing Architectures: Simulation of Power Electronics in Power Grids. in 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 704-711, 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Nashville, United States, 10/29/23. https://doi.org/10.1109/ECCE53617.2023.10362503

Emerging Computing Architectures: Simulation of Power Electronics in Power Grids. / Debnath, Suman ; Marthi, Phani R.V.; Choi, Jongchan et al.
2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 704-711 (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023).

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

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AB - As the penetration of power electronics increases in power grids, new computing architectures needed to be evaluated for the simulation of high-fidelity models of power electronics in power grids in operations. In this paper, emerging computing architectures such as quantum processing units are evaluated for the simulation of power electronics in power grids. A hybrid algorithm based on classical computing and quantum computing is developed and tested for different use cases of electromagnetic transient (EMT) simulation of power electronics (PE)-based systems and simple circuits. The algorithms needed to simulate power electronics in emerging computing architectures are discussed and thereafter, simulation results are shown.

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Emerging Computing Architectures: Simulation of Power Electronics in Power Grids

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