Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique

Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique

Abstract In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using an artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined with droop control and virtual impedance techniques (VIT). The control strategy is developed to improve...

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Bibliographic Details
Main Authors: Sarra Adiche, Mhamed Larbi, Djilali Toumi, Riyadh Bouddou, Mohit Bajaj, Nasreddine Bouchikhi, Abdallah Belabbes, Ievgen Zaitsev
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
AC microgrids
Adaptive PI controller
Artificial neural network
Droop control
Virtual impedance technique
Total harmonic distortion reduction
Online Access:https://doi.org/10.1038/s41598-024-82193-1
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https://doi.org/10.1038/s41598-024-82193-1

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