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Hybrid-RL-MPC4CLR: Hybrid Reinforcement Learning Model Predictive Control for Reserve Policy-Assisted Critical Load Restoration in Distribution Grids

Mar 17, 2022, 18:00 PM

Hybrid-RL-MPC4CLR was developed as a hybrid controller for active distribution grid critical load restoration, combining deep reinforcement learning and model predictive control to maximize total restored load following an extreme event. The reinforcement learning determines a policy for quantifying operating reserve requirements, thereby hedging against uncertainty, while the model predictive control models grid operations incorporating the reinforcement learning policy actions (i.e., reserve requirements), renewable (wind and solar) power predictions, and load demand forecasts.

Title : Hybrid-RL-MPC4CLR: Hybrid Reinforcement Learning Model Predictive Control for Reserve Policy-Assisted Critical Load Restoration in Distribution Grids

Url : https://github.com/NREL/hybrid-rl-mpc4clr

Software Id : 72315

Categories :

Grid Modernization
Jupyter Notebook
Python
Software Categories