10 citations · 11 across the 2 of their papers we have counts for
2 papers
eess.SY2023★ 10 cited
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…
eess.SY2022★ 1 cited
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control
Jie Feng, Yuanyuan Shi, Guannan Qu +3
Deep reinforcement learning has been recognized as a promising tool to address the challenges in real-time control of power systems. However, its deployment in real-world power sys…