Machine learning controller for dfig based wind conversion system

HIGHLIGHTS

  • who: P. Srinivasan from the Department of Electronics and Communication Engineering, Amrita College of Engineering and Technology, Nagercoil, India have published the research: Machine Learning Controller for DFIG Based Wind Conversion System, in the Journal: (JOURNAL)
  • what: In this Article the DFIG wind energy conversion system was developed in Matrix Laboratory (MATLAB) and designed a machine learning (ML) algorithm for the rotor and grid side converter. In this research supervised learning is used to power the neural networks and analysis is made for various hidden layers and activation functions. This model has been modeled for . . .

     

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