Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions

Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions

ABSTRACT The increasing adoption of solar photovoltaic systems necessitates efficient maximum power point tracking (MPPT) algorithms to ensure optimal performance. This study proposes a Mod tanh‐activated physical neural network (MAPNN)‐based MPPT control algorithm, which addresses inefficiencies in...

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Bibliographic Details
Main Authors: Khuong Nguyen‐Vinh, Surender Rangaraju, Michal Jasinski
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Energy Science & Engineering
Subjects:
beta‐distributed point estimation technique (BDPET)
maximum power point tracking (MPPT)
Mod tanh neural network (MAPNN)
photovoltaic (PV)
puzzle optimization algorithm (POA)
Online Access:https://doi.org/10.1002/ese3.70062
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https://doi.org/10.1002/ese3.70062

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