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eess.SY2023★ 1 cited
Constrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow
Tong Wu, Anna Scaglione, Daniel Arnold
Deep Reinforcement Learning (DRL) has become a popular method for solving control problems in power systems. Conventional DRL encourages the agent to explore various policies encod…
eess.SY2022★ 1 cited
Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms
Tong Wu, Ignacio Losada Carreno, Anna Scaglione +1
This paper proposes a model-free Volt-VAR control (VVC) algorithm via the spatio-temporal graph ConvNet-based deep reinforcement learning (STGCN-DRL) framework, whose goal is to co…