Out-of-step prediction using dqn-based disturbance observer and its rtds verification

HIGHLIGHTS

• who: Sun Jick Yang and collaborators from the (UNIVERSITY) have published the research work: Out-of-Step Prediction Using DQN-Based Disturbance Observer and Its RTDS Verification, in the Journal: Energies 2022, 15, 2652. of 14/08/2003
• what: This paper proposes a synchronous OOS prediction algorithm for a SMIB power transmission system.
• how: Aiming to contribute to this research area this paper proposes a synchronous detection algorithm that uses a deep Q-network-based disturbance robust to measurement noise. The analysis of EAC was further modified into the extended equal area criterion . . .
  

   

  

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