Deep reinforcement learning-based approach for autonomous power flow control using only topology changes

HIGHLIGHTS

• who: Ivana Damjanoviu0107 and colleagues from the Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia have published the research: Deep Reinforcement Learning-Based Approach for Autonomous Power Flow Control Using Only Topology Changes, in the Journal: Energies 2022, 6920 of 21/09/2022
• what: In this paper, it is demonstrated that by thoroughly selecting action space and reduced observation space, the proposed agent successfully manages the power network without expert help for up to a month. The aim is to create an agent that can operate the power grid successfully for as . . .
  

   

  

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