Deep Learning-Aided Sensorless Control Approach for PV Converters in DC Nanogrids

Deep Learning-Aided Sensorless Control Approach for PV Converters in DC Nanogrids

In a microgrid, photovoltaic (PV) systems are broadly preferred with energy storage systems (ESSs) that form small-sized direct current (DC) microgrids. They are also termed local grids i.e., DC nanogrids, which feed the local consumers to some extent in the next decades. Therefore, ESSs enable the...

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Bibliographic Details
Main Authors: Alper Nabi Akpolat, Erkan Dursun, Ahmet Emin Kuzucuoglu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep neural network (DNN)
sensorless control
deep supervised learning
photovoltaics
power electronic converters
DC microgrid
Online Access:https://ieeexplore.ieee.org/document/9500122/

Internet

https://ieeexplore.ieee.org/document/9500122/

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