37 citations · 64 across the 11 of their papers we have counts for
6 papers · 1 filter
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control
Zixuan Zhang, Yuning Jiang, Yuanming Shi +2
With the recent advances in mobile energy storage technologies, electric vehicles (EVs) have become a crucial part of smart grids. When EVs participate in the demand response progr…
Resource-Aware Stochastic Self-Triggered Model Predictive Control
Yingzhao Lian, Yuning Jiang, Naomi Stricker +2
This paper considers the control of uncertain systems that are operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware…
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees
Emilio T. Maddalena, Paul Scharnhorst, Yuning Jiang +1
We propose Kernel Predictive Control (KPC), a learning-based predictive control strategy that enjoys deterministic guarantees of safety. Noise-corrupted samples of the unknown syst…
Distributed Optimization using ALADIN for MPC in Smart Grids
Yuning Jiang, Philipp Sauerteig, Boris Houska +1
This paper presents a distributed optimization algorithm tailored to solve optimization problems arising in smart grids. In detail, we propose a variant of the Augmented Lagrangian…
Distributed Control Enforcing Group Sparsity in Smart Grids
Philipp Sauerteig, Yuning Jiang, Boris Houska +1
In modern smart grids, charging of local energy storage devices is coordinated on a residential level to compensate the volatile aggregated power demand on the time interval of int…
Optimal Experiment Design for AC Power Systems Admittance Estimation
Xu Du, Alexander Engelmann, Yuning Jiang +2
The integration of renewables into electrical grids calls for the development of tailored control schemes which in turn require reliable grid models. In many cases, the grid topolo…