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

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 existing...

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Bibliographic Details
Published in:	Energy science & engineering 2025-06, Vol.13 (6), p.2606-2619
Main Authors:	Nguyen‐Vinh, Khuong, Rangaraju, Surender, Jasinski, Michal
Format:	Article
Language:	English
Subjects:	Algorithms Alternative energy sources beta‐distributed point estimation technique (BDPET) Control algorithms Control theory Controllers Cost control Efficiency Energy consumption Feedback control Fuzzy logic Harmonic distortion Irradiance maximum power point tracking (MPPT) Maximum power tracking Mismatch (electrical) Mod tanh neural network (MAPNN) Neural networks Optimization Optimization algorithms photovoltaic (PV) Photovoltaics Proportional integral derivative puzzle optimization algorithm (POA) Renewable resources Solar energy Solar photovoltaic systems
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