11 citations · 27 across the 7 of their papers we have counts for
7 papers
Distributed Convex Second-Order Optimization for AC/DC Hybrid Distribution Systems within PROcess Orchestration Framework
Xinliang Dai, Yuning Jiang, Junyi Zhai +5
Existing operation formulations for AC/DC distribution grid often oversimplify the interplay of AC/DC interconnections and VSC characteristics. Moreover, current distributed algori…
Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems
Xinliang Dai, Yuning Jiang, Yi Guo +3
This paper introduces a novel distributed optimization framework for large-scale AC Optimal Power Flow (OPF) problems, offering both theoretical convergence guarantees and rapid co…
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids
Qi Li, Ye Shi, Yuning Jiang +3
The integration of various power sources, including renewables and electric vehicles, into smart grids is expanding, introducing uncertainties that can result in issues like voltag…
Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Xinliang Dai, Alexander Kocher, Jovana Kovačević +5
During the energy transition, the significance of collaborative management among institutions is rising, confronting challenges posed by data privacy concerns. Prevailing research…
Real-Time Coordination of Integrated Transmission and Distribution Systems: Flexibility Modeling and Distributed NMPC Scheduling
Xinliang Dai, Yi Guo, Yuning Jiang +3
This paper proposes a real-time distributed operational architecture to efficiently coordinate intergrated transmission and distribution systems (ITD). At the distribution system l…
Principled Preferential Bayesian Optimization
Wenjie Xu, Wenbin Wang, Yuning Jiang +2
We study the problem of preferential Bayesian optimization (BO), where we aim to optimize a black-box function with only preference feedback over a pair of candidate solutions. Ins…
Constrained Efficient Global Optimization of Expensive Black-box Functions
Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic +1
We study the problem of constrained efficient global optimization, where both the objective and constraints are expensive black-box functions that can be learned with Gaussian proc…