Search Results for author: Guido Cavraro

Found 13 papers, 0 papers with code

Advocating Feedback Control for Human-Earth System Applications

no code implementations12 May 2024 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.

Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing

no code implementations3 Apr 2024 Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong

The proliferation of behind-the-meter (BTM) distributed energy resources (DER) within the electrical distribution network presents significant supply and demand flexibilities, but also introduces operational challenges such as voltage spikes and reverse power flows.

Feedback Optimization of Incentives for Distribution Grid Services

no code implementations28 Mar 2024 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.

Unsupervised Learning for Equitable DER Control

no code implementations17 Mar 2024 Zhenyi Yuan, Guido Cavraro, Ahmed S. Zamzam, Jorge Cortés

In the context of managing distributed energy resources (DERs) within distribution networks (DNs), this work focuses on the task of developing local controllers.


A Decentralized Market Mechanism for Energy Communities under Operating Envelopes

no code implementations27 Feb 2024 Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong

We propose an operating envelopes (OEs) aware energy community market mechanism that dynamically charges/rewards its members based on two-part pricing.

Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities

no code implementations11 Oct 2023 Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong

We propose an operating-envelope-aware, prosumer-centric, and efficient energy community that aggregates individual and shared community distributed energy resources and transacts with a regulated distribution system operator (DSO) under a generalized net energy metering tariff design.

Constraints on OPF Surrogates for Learning Stable Local Volt/Var Controllers

no code implementations7 Jun 2023 Zhenyi Yuan, Guido Cavraro, Jorge Cortés

We consider the problem of learning local Volt/Var controllers in distribution grids (DGs).

Learning Provably Stable Local Volt/Var Controllers for Efficient Network Operation

no code implementations26 Sep 2022 Zhenyi Yuan, Guido Cavraro, Manish K. Singh, Jorge Cortés

We identify the conditions on the surrogates and control parameters to ensure that the locally acting controllers collectively converge, in a global asymptotic sense, to a DN operating point agreeing with the local surrogates.

Learning Distribution Grid Topologies: A Tutorial

no code implementations22 Jun 2022 Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro

Grid data from phasor measurement units or smart meters can be collected either passively in the traditional way, or actively, upon actuating grid resources and measuring the feeder's voltage response.

Agent-Supervisor Coordination for Decentralized Event-Triggered Optimization

no code implementations11 Sep 2021 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 with network-wide coupling components.

Ripple-Type Control for Enhancing Resilience of Networked Physical Systems

no code implementations24 Mar 2021 Manish K. Singh, Guido Cavraro, Andrey Bernstein, Vassilis Kekatos

Distributed control agents have been advocated as an effective means for improving the resiliency of our physical infrastructures under unexpected events.

Vocal Bursts Type Prediction

Online State Estimation for Time-Varying Systems

no code implementations31 May 2020 Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein

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 measurements available can be smaller than the number of states.

Cannot find the paper you are looking for? You can Submit a new open access paper.