57 citations · 213 across the 28 of their papers we have counts for
28 papers
Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls
Kyung-bin Kwon, Sayak Mukherjee, Thanh Long Vu +1
This paper develops a risk-aware controller for grid-forming inverters (GFMs) to minimize large frequency oscillations in GFM inverter-dominated power systems. To tackle the high v…
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
Sayak Mukherjee, Ramij R. Hossain, Sheik M. Mohiuddin +7
Improving system-level resiliency of networked microgrids is an important aspect with increased population of inverter-based resources (IBRs). This paper (1) presents resilient con…
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning
Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran +4
Search and Rescue (SAR) missions in remote environments often employ autonomous multi-robot systems that learn, plan, and execute a combination of local single-robot control action…
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
Sayak Mukherjee, Ramij R. Hossain, Yuan Liu +6
This paper presents a novel federated reinforcement learning (Fed-RL) methodology to enhance the cyber resiliency of networked microgrids. We formulate a resilient reinforcement le…
Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control
Kyung-bin Kwon, Sayak Mukherjee, Hao Zhu +1
Load frequency control (LFC) is a key factor to maintain the stable frequency in multi-area power systems. As the modern power systems evolve from centralized to distributed paradi…
Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids
Thanh Long Vu, Sayak Mukherjee, Veronica Adetola
Networking of microgrids can provide the operational flexibility needed for the increasing number of DERs deployed at the distribution level and supporting end-use demand when ther…