257 citations · 441 across the 22 of their papers we have counts for
27 papers
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…
Demand Response Under Stochastic, Price-Dependent User Behavior
Guido Cavraro, Andrey Bernstein, Emiliano Dall'Anese
This paper focuses on price-based residential demand response implemented through dynamic adjustments of electricity prices during DR events. It extends existing DR models to a sto…
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…
Advocating Feedback Control for Human-Earth System Applications
Guido Cavraro
This paper proposes a feedback control perspective for Human-Earth Systems (HESs) which essentially are complex systems that capture the interactions between humans and nature. Rec…
Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing
Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein +1
The proliferation of behind-the-meter (BTM) distributed energy resources (DER) within the electrical distribution network presents significant supply and demand flexibilities, but…
Feedback Optimization of Incentives for Distribution Grid Services
Guido Cavraro, Joshua Comden, Andrey Bernstein
Energy prices and net power injection limitations regulate the operations in distribution grids and typically ensure that operational constraints are met. Nevertheless, unexpected…
Unsupervised Learning for Equitable DER Control
Zhenyi Yuan, Guido Cavraro, Ahmed S. Zamzam +1
In the context of managing distributed energy resources (DERs) within distribution networks (DNs), this work focuses on the task of developing local controllers. We propose an unsu…
A Decentralized Market Mechanism for Energy Communities under Operating Envelopes
Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein +1
We propose an operating envelopes (OEs) aware energy community market mechanism that dynamically charges/rewards its members based on two-part pricing. The OEs are imposed exogenou…
Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities
Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein +1
We propose an operating-envelope-aware, prosumer-centric, and efficient energy community that aggregates individual and shared community distributed energy resources and transacts…
Constraints on OPF Surrogates for Learning Stable Local Volt/Var Controllers
Zhenyi Yuan, Guido Cavraro, Jorge Cortés
We consider the problem of learning local Volt/Var controllers in distribution grids (DGs). Our approach starts from learning separable surrogates that take both local voltages and…
Learning Provably Stable Local Volt/Var Controllers for Efficient Network Operation
Zhenyi Yuan, Guido Cavraro, Manish K. Singh +1
This paper develops a data-driven framework to synthesize local Volt/Var control strategies for distributed energy resources (DERs) in power distribution networks (DNs). Aiming to…
Learning Local Volt/Var Controllers Towards Efficient Network Operation with Stability Guarantees
Guido Cavraro, Zhenyi Yuan, Manish K. Singh +1
This paper considers the problem of voltage regulation in distribution networks. The primary motivation is to keep voltages within preassigned operating limits by commanding the re…
Learning Distribution Grid Topologies: A Tutorial
Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro
Unveiling feeder topologies from data is of paramount importance to advance situational awareness and proper utilization of smart resources in power distribution grids. This tutori…
Agent-Supervisor Coordination for Decentralized Event-Triggered Optimization
Priyank Srivastava, Guido Cavraro, Jorge Cortes
This paper proposes decentralized resource-aware coordination schemes for solving network optimization problems defined by objective functions which combine locally evaluable costs…
Ripple-Type Control for Enhancing Resilience of Networked Physical Systems
Manish K. Singh, Guido Cavraro, Andrey Bernstein +1
Distributed control agents have been advocated as an effective means for improving the resiliency of our physical infrastructures under unexpected events. Purely local control has…
Novel Region of Attraction Characterization for Control and Stabilization of Voltage Dynamics
Bai Cui, Ahmed Zamzam, Guido Cavraro +1
In this paper, we study the monitoring and control of long-term voltage stability considering load tap-changer (LTC) dynamics. We show that under generic conditions, the LTC dynami…
Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks
Manish K. Singh, Sarthak Gupta, Vassilis Kekatos +2
Deep learning for distribution grid optimization can be advocated as a promising solution for near-optimal yet timely inverter dispatch. The principle is to train a deep neural net…
Online State Estimation for Time-Varying Systems
Guido Cavraro, Emiliano Dall'Anese, Joshua Comden +1
The paper investigates the problem of estimating the state of a time-varying system with a linear measurement model; in particular, the paper considers the case where the number of…
An MILP Approach for Distribution Grid Topology Identification using Inverter Probing
Sina Taheri, Vassilis Kekatos, Guido Cavraro
Although knowing the feeder topology and line impedances is a prerequisite for solving any grid optimization task, utilities oftentimes have limited or outdated information on thei…
Graph Algorithms for Topology Identification using Power Grid Probing
Guido Cavraro, Vassilis Kekatos
To perform any meaningful optimization task, power distribution operators need to know the topology and line impedances of their electric networks. Nevertheless, distribution grids…
Inverter Probing for Power Distribution Network Topology Processing
Guido Cavraro, Vassilis Kekatos
Knowing the connectivity and line parameters of the underlying electric distribution network is a prerequisite for solving any grid optimization task. Although distribution grids l…
Generalized gradient optimization over lossy networks for partition-based estimation
Marco Todescato, Nicoletta Bof, Guido Cavraro +2
We address the problem of distributed convex unconstrained optimization over networks characterized by asynchronous and possibly lossy communications. We analyze the case where the…
Voltage Analytics for Power Distribution Network Topology Verification
Guido Cavraro, Vassilis Kekatos, Sriharsha Veeramachaneni
Distribution grids constitute complex networks of lines often times reconfigured to minimize losses, balance loads, alleviate faults, or for maintenance purposes. Topology monitori…
Distribution Network Topology Detection with Time Series Measurement Data Analysis
Guido Cavraro, Reza Arghandeh, Alexandra von Meier
This paper proposes a novel approach for detecting the topology of distribution networks based on the analysis of time series measurements. The time-based analysis approach draws o…