2 citations · 2 across the 7 of their papers we have counts for
9 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…
Policy Gradient-Based EMT-in-the-Loop Learning to Mitigate Sub-Synchronous Control Interactions
Sayak Mukherjee, Ramij R. Hossain, Kaustav Chatterjee +2
This paper explores the development of learning-based tunable control gains using EMT-in-the-loop simulation framework (e.g., PSCAD interfaced with Python-based learning modules) t…
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.…
On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances
Sayak Mukherjee, Ramij R. Hossain, Mahantesh Halappanavar
We analyze offline designs of linear quadratic regulator (LQR) strategies with uncertain disturbances. First, we consider the scenario where the exogenous variable can be estimated…
Identification of Sub/Super-Synchronous Control Interaction Paths Using Dissipative Energy Flow
Kaustav Chatterjee, Sameer Nekkalapu, Sayak Mukherjee +2
Sub- and super-synchronous control interactions (SSCIs) are oscillations arising from adverse interactions between inverter-based resource (IBR) controls and the power network. SSC…
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…
Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing
S M Ferdous, Reece Neff, Bo Peng +6
A coloring of a graph is an assignment of colors to vertices such that no two neighboring vertices have the same color. The need for memory-efficient coloring algorithms is motivat…