4 citations · 5 across the 5 of their papers we have counts for
6 papers
Efficient Reinforcement Learning Through Trajectory Generation
Wenqi Cui, Linbin Huang, Weiwei Yang +1
A key barrier to using reinforcement learning (RL) in many real-world applications is the requirement of a large number of system interactions to learn a good control policy. Off-p…
Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach
Yan Jiang, Wenqi Cui, Baosen Zhang +1
Frequency control plays a pivotal role in reliable power system operations. It is conventionally performed in a hierarchical way that first rapidly stabilizes the frequency deviati…
Equilibrium-Independent Stability Analysis for Distribution Systems with Lossy Transmission Lines
Wenqi Cui, Baosen Zhang
Power distribution systems are becoming much more active with increased penetration of distributed energy resources. Because of the intermittent nature of these resources, the stab…
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…
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…
Multi-state Operating Reserve Model of Aggregate Thermostatically-Controlled-Loads for Power System Short-Term Reliability Evaluation
Yi Ding, Wenqi Cui, Shujun Zhang +3
Thermostatically-controlled-loads (TCLs) have been regarded as a good candidate for maintaining the power system reliability by providing operating reserve. The short-term reliabil…