Automation for Grid Interconnected Laboratory Emulation

Phani R.V. Marthi, Suman Debnath, Marshall McDonnell, Sebastian A. Soto, Harry Hughes, Steven Hahn, Jongchan Choi, Anees Al Najjar, Nageswara Rao, Ben Mintz

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

Abstract

As computational capabilities improve, digital twins are becoming vital for evaluating equipment realistically in laboratories. This paper outlines a digital twin architecture for the power grid, employing electromagnetic transient (EMT) simulation alongside real-time simulation of power hardware and hierarchical control systems. EMT simulation occurs on a high-performance computing server for scalability. Additionally, the paper describes a workflow and real-time data streaming software facilitating connectivity among EMT simulation, hierarchical control systems, and power hardware. This software enables automated equipment connectivity in the laboratory for realistic evaluations, aiding in identifying necessary upgrades for both equipment control systems and the power grid.

Original languageEnglish
Title of host publication2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1618-1625
Number of pages8
ISBN (Electronic)9798350376067
DOIs
StatePublished - 2024
Event2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Phoenix, United States
Duration: Oct 20 2024Oct 24 2024

Publication series

Name2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings

Conference

Conference2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024
Country/TerritoryUnited States
CityPhoenix
Period10/20/2410/24/24

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 non-exclusive, paidup, 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

  • automation
  • digital twin
  • distributed compute resources
  • EMT

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