Learning-based model predictive control of dc-dc buck converters in dc microgrids: a multi-agent deep reinforcement learning approach

HIGHLIGHTS

• who: Hoda Sorouri and collaborators from the (UNIVERSITY) have published the article: Learning-Based Model Predictive Control of DC-DC Buck Converters in DC Microgrids: A Multi-Agent Deep Reinforcement Learning Approach, in the Journal: Energies 2022, 15, 5399. of /2022/
• what: In this approach, a proper control command is obtained based on the prediction from the converter model and a objective function (OF). The aim of the control system is to properly adjust the voltage Vti so that the voltage Voi can follow the reference voltage precisely. Simulation Results Various case studies are conducted . . .
  

   

  

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