most citedDeep Learning for Reactive Power Control of Smart Inverters under Communication Constraints

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math.OC2020★ 2 cited

Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints

Sarthak Gupta, Vassilis Kekatos, Ming Jin

Aiming for the median solution between cyber-intensive optimal power flow (OPF) solutions and subpar local control, this work advocates deciding inverter injection setpoints using…

math.OC2020

Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks

Manish K. Singh, Sarthak Gupta, Vassilis Kekatos +2

Deep learning for distribution grid optimization can be advocated as a promising solution for near-optimal yet timely inverter dispatch. The principle is to train a deep neural net…