16 citations · 37 across the 14 of their papers we have counts for
12 papers · 1 filter
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…
Robust Data-Driven Control for Systems with Noisy Data
Chin-Yao Chang, Andrey Bernstein
This paper presents a robust data-driven controller design based on the noisy input-output data without assumptions on the statistical properties of the noises. We start with the d…
On Hybrid Quantum and Classical Computing Algorithms for Mixed-Integer Programming
Chin-Yao Chang, Eric Jones, Yiyun Yao +2
Quantum computing is emerging as a new computing resource that could be superior to conventional computing for certain classes of optimization problems. However, in principle, most…
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…
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…
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…
Maximizing Algebraic Connectivity of Constrained Graphs in Adversarial Environments
Tor Anderson, Chin-Yao Chang, Sonia Martinez
This paper aims to maximize algebraic connectivity of networks via topology design under the presence of constraints and an adversary. We are concerned with three problems. First,…
Scheduled-Asynchronous Distributed Algorithm for Optimal Power Flow
Chin-Yao Chang, Jorge Cortes, Sonia Martinez
Optimal power flow (OPF) problems are non-convex and large-scale optimization problems with important applications in power networks. This paper proposes the scheduled-asynchronous…
Virtual-Voltage Partition-Based Approach to Optimal Transmission Switching
Chin-Yao Chang, Sonia Martinez, Jorge Cortes
This paper deals with optimal transmission switching (OTS) problems involving discrete binary decisions about network topology and non-convex power flow constraints. We adopt a sem…
Low Complexity Distributed SDP Approach for General OPF Problems with Reactive Power Cost
Chin-Yao Chang, Wei Zhang
Optimal power flow (OPF) problem is a class of large-scale and non-convex optimization problem. Various algorithms are proposed to solve the challenging OPF problem. Recent studies…
On Resilience Analysis and Quantification for Wide-Area Control of Power Systems
Yueyun Lu, Chin-Yao Chang, Wei Zhang +2
Wide-area control is an effective mean to reduce inter-area oscillations of large power systems. Its dependence on communication of remote measurement signals makes the closed-loop…
Distributed Control of Inverter-Based Lossy Microgrids for Power Sharing and Frequency Regulation Under Voltage Constraints
Chin-Yao Chang, Wei Zhang
This paper presents a new distributed control framework to coordinate inverter-interfaced distributed energy resources (DERs) in island microgrids. We show that under bounded load…