2 citations · 2 across the 4 of their papers we have counts for
5 papers
Learning-Based Augmentation and Adaptation for Grid Sim-to-Real Model Discrepancy
Sayak Mukherjee, Kyung-Bin Kwon, Ramij R. Hossain +1
Modern power systems can encounter increased discrepancy between the operators' simulation model and the actual true dynamics of the grid, driven by uncertainties caused by integra…
Optimizing Grid-Forming Controls using Relay-based Extremum Seeking to Enhance Transient Performance
Kyung-Bin Kwon, Min Gyung Yu, Sayak Mukherjee +1
Grid-forming (GFM) inverters are essential for enhancing stability in modern power systems with high penetration of inverter-based resources (IBRs). However, their performance high…
Operational Risks in Grid Integration of Large Data Center Loads: Characteristics, Stability Assessments, and Sensitivity Studies
Kyung-Bin Kwon, Sayak Mukherjee, Veronica Adetola
This paper investigates the dynamic interactions between large-scale data centers and the power grid, focusing on reliability challenges arising from sudden fluctuations in demand.…
Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies
Kyung-Bin Kwon, Sayak Mukherjee, Ramij R. Hossain +1
This letter develops a novel physics-informed neural ordinary differential equations-based framework to emulate the proprietary dynamics of the inverters -- essential for improved…
Structural Impact of Grid-Forming Inverters on Power System Coherency
Sayak Mukherjee, Ramij Raja Hossain, Kaustav Chatterjee +4
This paper addresses the following fundamental research question: how does the integration of grid-forming inverters (GFMs) replacing conventional synchronous generators (SGs) impa…