activity
20182025
most citedStochastic-Robust Planning of Networked Hydrogen-Electrical Microgrids: A Study on Induced Refueling Demand

31 citations · 34 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2025

Data-Driven Two-Stage Distributionally Robust Dispatch of Multi-Energy Microgrid

Xunhang Sun, Xiaoyu Cao, Bo Zeng +3

This paper studies adaptive distributionally robust dispatch (DRD) of the multi-energy microgrid under supply and demand uncertainties. A Wasserstein ambiguity set is constructed t…

eess.SY2025

Robust Co-Optimization of Distribution Network Hardening and Mobile Resource Scheduling with Decision-Dependent Uncertainty

Donglai Ma, Xiaoyu Cao, Bo Zeng +4

This paper studies the robust co-planning of proactive network hardening and mobile hydrogen energy resources (MHERs) scheduling, which is to enhance the resilience of power distri…

eess.SY2025

Proactive Robust Hardening of Resilient Power Distribution Network: Decision-Dependent Uncertainty Modeling and Fast Solution Strategy

Donglai Ma, Xiaoyu Cao, Bo Zeng +4

To address the power system hardening problem, traditional approaches often adopt robust optimization (RO) that considers a fixed set of concerned contingencies, regardless of the…

math.OC2024★ 31 cited

Stochastic-Robust Planning of Networked Hydrogen-Electrical Microgrids: A Study on Induced Refueling Demand

Xunhang Sun, Xiaoyu Cao, Bo Zeng +3

Hydrogen-electrical microgrids are increasingly assuming an important role on the pathway toward decarbonization of energy and transportation systems. This paper studies networked…

math.OC2024★ 2 cited

Distributionally Robust Frequency-Constrained Microgrid Scheduling Towards Seamless Islanding

Lun Yang, Haoxiang Yang, Xiaoyu Cao +1

Unscheduled islanding events of microgrids result in the transition between grid-connected and islanded modes and induce a sudden and unknown power imbalance, posing a threat to fr…

math.OC2023★ 1 cited

Accelerating Level-Value Adjustment for the Polyak Stepsize

Anbang Liu, Mikhail A. Bragin, Xi Chen +1

The Polyak stepsize has been widely used in subgradient methods for non-smooth convex optimization. However, calculating the stepsize requires the optimal value, which is generally…

math.OC2018

Multi-Stage Robust Transmission Constrained Unit Commitment: A Decomposition Framework with Implicit Decision Rules

Xuan Li, Qiaozhu Zhai, Xiaohong Guan

With the integration of large-scale renewable energy sources to power systems, many optimization methods have been applied to solve the stochastic/uncertain transmission-constraine…