March 2026

Conference Paper

High-Performance Computing Based EMT Simulation: Power Grid with IBRs

By:
Marthi, Phani Ratna Vanamali ; Debnath, Suman ; Hahn, Steven E; Hughes, Harry N; Mishra, Rahul ; Choi, Jongchan
Page Number:
1-7
Book Title:
2025 IEEE Conference on Technologies for Sustainability (SusTech)
Publication Date:
March 12, 2026
Publisher Location:
IEEE, New Jersey, United States of America
Conference Name:
IEEE SusTech: IEEE Conference on Technologies for Sustainability
Conference Location:
Santa Ana, California, United States of America
Conference Sponsor:
IEEE, IEEE PES
View DOI Listing:
https://doi.org/10.1109/SusTech63138.2025.11025731

Abstract

Electromagnetic transient (EMT) simulation of power grids with high-fidelity models of inverter-based resources (IBRs) is time-consuming and difficult to scale. The necessity for high-fidelity models of IBRs that incorporate the dynamics of individual inverters within IBRs has been showcased in recent studies. These studies focused on events with partial power reduction in each IBR during a transmission line fault in the power grid. These types of events have been documented in multiple North American Electric Reliability Council (NERC) reports in the past decade. It is imperative then to find solutions to speed-up EMT simulations and scale the size of the region with IBRs studied in EMT simulations. In this paper, a combination of numerical simulation algorithms with high-performance computing techniques are employed in discretization and linear solvers employed in the proposed RE-INTEGRATE EMT simulation platform for power grid with IBRs. For ease of scalability, modular and object-oriented programming is used as these techniques are implemented. Additionally, automation software is developed to convert legacy software codes to the proposed RE-INTEGRATE EMT simulation platform. Thereafter, this platform is evaluated on multi-core central processing units (CPUs). Finally, scale-up tests are performed to showcase the scalability that is possible.