5 papers · 1 filter
NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids
Mohamad Chehade, Hao Zhu
The rise of distributed energy resources (DERs) is reshaping modern distribution grids, introducing new challenges in attaining voltage stability under dynamic and decentralized op…
BOOST: Microgrid Sizing using Ordinal Optimization
Mohamad Chehade, Sami Karaki
Sizing a residential microgrid efficiently requires solving a coupled design-and-operation problem: photovoltaic (PV) and battery capacities should be chosen in a way that reflects…
Carbon-aware Market Participation for Building Energy Management Systems
Young-ho Cho, Mohamad Chehade, Fatima Al-Janahi +3
Tackling climate change requires the rapid and deep decarbonization of electric power systems. While energy management systems (EMSs) play a central role in this transition, conven…
Fine-Tuning LLMs to Generate Economical and Reliable Actions for the Power Grid
Mohamad Chehade, Hao Zhu
Public Safety Power Shutoffs (PSPS) force rapid topology changes that can render standard operating points infeasible, requiring operators to quickly identify corrective transmissi…
Should we use model-free or model-based control? A case study of battery management systems
Mohamad Fares El Hajj Chehade, Young-ho Cho, Sandeep Chinchali +1
Reinforcement learning (RL) and model predictive control (MPC) each offer distinct advantages and limitations when applied to control problems in power and energy systems. Despite…