257 citations · 441 across the 22 of their papers we have counts for
16 papers · 1 filter
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…
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…
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…
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…
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…
Data-Driven Approach for Distribution Network Topology Detection
Guido Cavraro, Reza Arghandeh, Alexandra von Meier +1
This paper proposes a data-driven approach to detect the switching actions and topology transitions in distribution networks. It is based on the real time analysis of time-series v…
Topology Detection in Microgrids with Micro-Synchrophasors
Reza Arghandeh, Martin Gahr, Alexandra von Meier +3
Network topology in distribution networks is often unknown, because most switches are not equipped with measurement devices and communication links. However, knowledge about the ac…