27 citations · 204 across the 36 of their papers we have counts for
6 papers · 1 filter
Online learning for robust voltage control under uncertain grid topology
Christopher Yeh, Jing Yu, Yuanyuan Shi +1
Voltage control generally requires accurate information about the grid's topology in order to guarantee network stability. However, accurate topology identification is challenging…
Predicting Strategic Energy Storage Behaviors
Yuexin Bian, Ningkun Zheng, Yang Zheng +2
Energy storage are strategic participants in electricity markets to arbitrage price differences. Future power system operators must understand and predict strategic storage arbitra…
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…
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…
Optimal Vehicle Charging in Bilevel Power-Traffic Networks via Charging Demand Function
Yufan Zhang, Sujit Dey, Yuanyuan Shi
Electric vehicle (EV) charging couples the operation of power and traffic networks. Specifically, the power network determines the charging price at various locations, while EVs on…
Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach with Safe Gradient Flow
Jie Feng, Wenqi Cui, Jorge Cortés +1
Deep reinforcement learning approaches are becoming appealing for the design of nonlinear controllers for voltage control problems, but the lack of stability guarantees hinders the…