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eess.SY2024
Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights
Di Shi, Qiang Zhang, Mingguo Hong +4
Deep reinforcement learning (DRL) holds significant promise for managing voltage control challenges in simulated power grid environments. However, its real-world application in pow…
eess.SY2024
Cloud Deployment of Large-Scale Electromagnetic Transient Simulation -- Discovery and Experiences
Xiaochuan Luo, Jason Ploof, Xinghao Fang +2
Electromagnetic Transient (EMT) simulation starts to play a critical role in modern power system planning and operations due to large penetration of inverter based resources (IBRs)…