Adaptive Neural Network Q-Learning-Based Full Recurrent Adaptive NeuroFuzzy Nonlinear Control Paradigms for Bidirectional-Interlinking Converter in a Grid-Connected Hybrid AC-DC Microgrid

Adaptive Neural Network Q-Learning-Based Full Recurrent Adaptive NeuroFuzzy Nonlinear Control Paradigms for Bidirectional-Interlinking Converter in a Grid-Connected Hybrid AC-DC Microgrid

The stability of a hybrid AC-DC microgrid depends mainly upon the bidirectional interlinking converter (BIC), which is responsible for power transfer, power balance, voltage solidity, frequency and transients sanity. The varying generation from renewable resources, fluctuating loads, and bidirection...

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Bibliographic Details
Main Authors: Muhammad Awais, Laiq Khan, Said Ghani Khan, Qasim Awais, Mohsin Jamil
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
hybrid AC-DC microgrid
interlinking converter
Legendre wavelet
Mexican hat wavelet
Morlet wavelet
neurofuzzy
Online Access:https://www.mdpi.com/1996-1073/16/4/1902

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https://www.mdpi.com/1996-1073/16/4/1902

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