MPPT Under Partial Shading Conditions Using Artificial Neural Network: Maximum Powerpoint Tracking; Radial Basis Function Neural Network; Boosted Salp Swarm Optimization - Couverture souple

S., Antonyraj; G., Giftson Samuel; E., Elakkiya

 
9786206183440: MPPT Under Partial Shading Conditions Using Artificial Neural Network: Maximum Powerpoint Tracking; Radial Basis Function Neural Network; Boosted Salp Swarm Optimization
Couverture souple
ISBN 10 : 6206183440 ISBN 13 : 9786206183440
Editeur : LAP LAMBERT Academic Publishing, 2023

Synopsis

This Book presents the deep radial basis function neural network learning-based MPPT for the PV module to obtain the maximum power. Moreover, the D-RBFN is trained using the proposed Boosted salp swarm optimization (BOSS) to reduce the tracking speed and improve efficiency. The BOSS optimization algorithm removes the local optima problem in the conventional salp swarm optimization algorithm by modifying the controlling parameter value, which is not only based on the maximum number of generations but also depends on the characteristics of the problem. The performance of the proposed BOSS-D-RBFN controller is analyzed under dynamic changing irradiance and two different cases of partial shading conditions. Also, the performance of the BOSS-D-RBFN method compared with state-of-the-art methods, including neural network-based MPPT, fuzzy logic-based MPPT, P&O-based MPPT, Incremental conductance, and evolutionary algorithm-based MPPT methods in terms of oscillation percentage, settling and tracking time, maximum power obtained, and efficiency.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2023
Langue
anglais
ISBN 10 
6206183440
ISBN 13 
9786206183440
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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