184 citations · 971 across the 87 of their papers we have counts for
8 papers · 1 filter
State-of-Charge Aware EV Charging
Yize Chen, Baosen Zhang
Recent proliferation in electric vehicles (EVs) are posing profound impacts over the operation of electrical grids. In particular, due to the physical constraints on charging stati…
A Frequency Domain Approach to Predict Power System Transients
Wenqi Cui, Weiwei Yang, Baosen Zhang
The dynamics of power grids are governed by a large number of nonlinear differential and algebraic equations (DAEs). To safely operate the system, operators need to check that the…
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach
Ling Zhang, Baosen Zhang
Using deep neural networks to predict the solutions of AC optimal power flow (ACOPF) problems has been an active direction of research. However, because the ACOPF is nonconvex, it…
Decentralized Safe Reinforcement Learning for Voltage Control
Wenqi Cui, Jiayi Li, Baosen Zhang
Inverter-based distributed energy resources provide the possibility for fast time-scale voltage control by quickly adjusting their reactive power. The power-electronic interfaces a…
Computationally Efficient Safe Reinforcement Learning for Power Systems
Daniel Tabas, Baosen Zhang
We propose a computationally efficient approach to safe reinforcement learning (RL) for frequency regulation in power systems with high levels of variable renewable energy resource…
An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems
Ling Zhang, Baosen Zhang
The existence of multiple solutions to AC optimal power flow (ACOPF) problems has been noted for decades. Existing solvers are generally successful in finding local solutions, whic…
Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability
Wenqi Cui, Baosen Zhang
Transient stability of power systems is becoming increasingly important because of the growing integration of renewable resources. These resources lead to a reduction in mechanical…
An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems
Ling Zhang, Baosen Zhang
The existence of multiple solutions to AC optimal power flow (ACOPF) problems has been noted for decades. Existing solvers are generally successful in finding local solutions, whic…