10 citations · 15 across the 11 of their papers we have counts for
12 papers
Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior
Adam Lechowicz, Joshua Comden, Andrey Bernstein
As electrical generation becomes more distributed and volatile, and loads become more uncertain, controllability of distributed energy resources (DERs), regardless of their ownersh…
Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation
Zhirui Liang, Qi Li, Joshua Comden +2
Information asymmetry between the Distribution System Operator (DSO) and Distributed Energy Resource Aggregators (DERAs) obstructs designing effective incentives for voltage regula…
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…
Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes
Andrey Bernstein, Joshua Comden, Yue Chen +1
Online feedback-based optimization has become a promising framework for real-time optimization and control of complex engineering systems. This tutorial paper surveys the recent ad…
Evaluation of Communication Issues in Primal-Dual-Based Distributed Energy Resource Management Systems (DERMS)
Joshua Comden, Jing Wang, Andrey Bernstein
With the increasing adoption of distributed energy resources (DERs) in distribution networks, distributed energy resource management systems (DERMS) are becoming an attractive opti…
Adaptive Primal-Dual Control for Distributed Energy Resource Management
Joshua Comden, Jing Wang, Andrey Bernstein
With the increased adoption of distributed energy resources (DERs) in distribution networks, their coordinated control with a DER management system (DERMS) that provides grid servi…
Data-Driven Moment-Based Distributionally Robust Chance-Constrained Optimization
Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein
Many stochastic optimization problems include chance constraints that enforce constraint satisfaction with a specific probability; however, solving an optimization problem with cha…
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…
Sample Complexity of Power System State Estimation using Matrix Completion
Joshua Comden, Marcello Colombino, Andrey Bernstein +1
In this paper, we propose an analytical framework to quantify the amount of data samples needed to obtain accurate state estimation in a power system - a problem known as sample co…
Geographically Coordinated Primary Frequency Control Technical Report
Joshua Comden, Tan N. Le, Yue Zhao +2
Primary Frequency Control (PFC) is a fast acting mechanism used to ensure high-quality power for the grid that is becoming an increasingly attractive option for load participation.…
Incentivizing Reliable Demand Response with Customers' Uncertainties and Capacity Planning
Joshua Comden, Zhenhua Liu, Yue Zhao
One of the major issues with the integration of renewable energy sources into the power grid is the increased uncertainty and variability that they bring. If this uncertainty is no…
Harnessing Flexible and Reliable Demand Response Under Customer Uncertainties
Joshua Comden, Zhenhua Liu, Yue Zhao
Demand response (DR) is a cost-effective and environmentally friendly approach for mitigating the uncertainties in renewable energy integration by taking advantage of the flexibili…