activity
20162022
most citedScheduled-Asynchronous Distributed Algorithm for Optimal Power Flow

1 citations · 1 across the 4 of their papers we have counts for

collaborators

9 papers

math.OC2022

Zero-Knowledge Proof-Based Approach for Verifying the Computational Integrity of Power Grid Controls

Chin-Yao Chang, Richard Macwan, Sinnott Murphy

The control of future power grids is migrating from a centralized to a distributed/decentralized scheme to enable a massive penetration of distributed energy resources and bring ex…

eess.SY2020

Enabling DER Participation in Frequency Regulation Markets

Priyank Srivastava, Chin-Yao Chang, Jorge Cortes

Distributed energy resources (DERs) are playing an increasing role in ancillary services for the bulk grid, particularly in frequency regulation. In this paper, we propose a framew…

math.OC2020

Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems

Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein +2

The increasing penetration of distributed energy resources (DERs) in the distribution networks has turned the conventionally passive load buses into active buses that can provide g…

math.OC2020

Online Data-Enabled Predictive Control

Stefanos Baros, Chin-Yao Chang, Gabriel E. Colon-Reyes +1

We develop an online data-enabled predictive (ODeePC) control method for optimal control of unknown systems, building on the recently proposed DeePC [1]. Our proposed ODeePC method…

quant-ph2020

On the Computational Viability of Quantum Optimization for PMU Placement

Eric B. Jones, Eliot Kapit, Chin-Yao Chang +4

Using optimal phasor measurement unit placement as a prototypical problem, we assess the computational viability of the current generation D-Wave Systems 2000Q quantum annealer for…

math.OC2018

Distributed Approximate Newton Algorithms and Weight Design for Constrained Optimization

Tor Anderson, Chin-Yao Chang, Sonia Martinez

Motivated by economic dispatch and linearly-constrained resource allocation problems, this paper proposes a class of novel Distributed-Approx Newton algorithms that approximate the…