694 citations · 1.6k across the 77 of their papers we have counts for
63 papers · 1 filter
On the Stability of Power Systems with AI Data Centers: A Multi-Equilibrium Switched DAE Framework
Vishal Shenoy, Damola Ajeyemi, Mahmoud Abdelgalil +3
The rapid growth of Artificial Intelligence (AI) data centers is introducing dynamic loads into power transmission systems as GPU clusters switch between computational phases with…
Online Feedback Optimization for Constrained Stochastic Problems with Decision-Dependent Distributions: Extended Version
Caio Kalil Lauand, Emiliano Dall'Anese
Online feedback optimization (OFO) leverages real-time output measurements to optimize the operation of networked systems without requiring full knowledge of system dynamics or dis…
Omega-Limit Sets and Input-to-State Stability in Power Grids With Switching Equilibria
Mahmoud Abdelgalil, Vishal Shenoy, Guido Cavraro +2
This paper studies a power transmission system with both conventional generators (CGs) and distributed energy assets (DEAs) providing frequency control. We consider an operating co…
Control Barrier Function-Based Safety Filters: Characterization of Undesired Equilibria, Unbounded Trajectories, and Limit Cycles
Pol Mestres, Yiting Chen, Emiliano Dall'anese +1
This paper focuses on safety filters designed based on Control Barrier Functions (CBFs): these are modifications of a nominal stabilizing controller typically utilized in safety-cr…
A Distributed Optimization Framework to Regulate the Electricity Consumption of a Residential Neighborhood with Renewables
Erhan Can Ozcan, Emiliano Dall'Anese, Ioannis Ch. Paschalidis
Demand response services at the distribution level are emerging as enabling strategies for improving grid reliability in the presence of intermittent renewable generation and grid…
Bounds for the Tracking Error and Dynamic Regret of Inexact Online Optimization Methods: A General Analysis via Sequential Semidefinite Programs
Usman Syed, Emiliano Dall'Anese, Bin Hu
In this paper, we develop a unified framework for analyzing the tracking error and dynamic regret of inexact online optimization methods under a variety of settings. Specifically,…