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20212026
most citedResilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations

30 citations · 65 across the 13 of their papers we have counts for

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15 papers · 1 filter

eess.SY2026

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

Managing Risks from Large Digital Loads Using Coordinated Grid-Forming Storage Network

Soumya Kundu, Kaustav Chatterjee, Ramij R. Hossain +2

Anticipated rapid growth of large digital load, driven by artificial intelligence (AI) data centers, is poised to increase uncertainty and large fluctuations in consumption, threat…

eess.SY2025

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…