266 citations · 270 across the 5 of their papers we have counts for
6 papers
Plug-in Estimation Method for Topology and Admittance Estimation in Electric Grids
Norak Rin, Iman Shames, Ian R. Petersen +2
This paper proposes a scalable method for topology and admittance estimation in electric power grids. Our proposed plug-in estimation method incorporates precise phasor measurement…
HetGPS: Scalable Graph Multi-Agent Reinforcement Learning with Physics-Anchored Adaptive Safety for EV Charging
Xiangwei Wang, Nanduni Nimalsiri, Yu Xia +2
Safety interventions for large populations of network-coupled agents must protect shared constraints without unnecessarily overriding task-oriented policy decisions. We present Het…
Stepwise Intrinsic Rewards for Reasoning in Large Language Models
Xiangwei Wang, Wei Wang, Ken Chen +3
Reinforcement learning (RL) has become a widely used paradigm for improving the reasoning abilities of large language models (LLMs) and Vision-language models (VLMs). Sparse binary…
Network-aware EV charging and discharging in unbalanced distribution grids: A distributed, robust approach against communication failures
Nanduni Nimalsiri, Elizabeth Ratnam
This paper proposes a distributed optimization-based algorithm for electric vehicle (EV) charging and discharging, incorporating EV customer economics and distribution network cons…
Communication-Censored-ADMM for Electric Vehicle Charging in Unbalanced Distribution Grids
Abhishek Bhardwaj, Wilhiam de Carvalho, Nanduni Nimalsiri +2
We propose an alternating direction method of multipliers (ADMM)-based algorithm for coordinating the charge and discharge of electric vehicles (EVs) to manage grid voltages while…
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid
Nanduni I. Nimalsiri, Chathurika P. Mediwaththe, Elizabeth L. Ratnam +3
Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion engines. Despite their environmental benefits, the massive electricity demand imposed b…