activity
20222024
most citedCyber-Physical Attack Leveraging Subsynchronous Resonance

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GT2024

Balancing Fairness and Efficiency in Energy Resource Allocations

Jiayi Li, Matthew Motoki, Baosen Zhang

Bringing fairness to energy resource allocation remains a challenge, due to the complexity of system structures and economic interdependencies among users and system operators' dec…

eess.SY2024

Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation

Yan Jiang, Hancheng Min, Baosen Zhang

Frequency security assessment following major disturbances has long been one of the central tasks in power system operations. The standard approach is to study the center of inerti…

math.OC2023

Convex Restriction of Feasible Sets for AC Radial Networks

Ling Zhang, Daniel Tabas, Baosen Zhang

Many problems in power systems involve optimizing a certain objective function subject to power flow equations and engineering constraints. A long-standing challenge in solving the…

eess.SY2023

Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees

Wenqi Cui, Yan Jiang, Baosen Zhang +1

We study the optimal control of multiple-input and multiple-output dynamical systems via the design of neural network-based controllers with stability and output tracking guarantee…

eess.SY2023

Leveraging Predictions in Power System Frequency Control: an Adaptive Approach

Wenqi Cui, Guanya Shi, Yuanyuan Shi +1

Ensuring the frequency stability of electric grids with increasing renewable resources is a key problem in power system operations. In recent years, a number of advanced controller…

eess.SY20231 cited

Equilibria of Fully Decentralized Learning in Networked Systems

Yan Jiang, Wenqi Cui, Baosen Zhang +1

Existing settings of decentralized learning either require players to have full information or the system to have certain special structure that may be hard to check and hinder the…