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

Language: English

Published by LAP LAMBERT Academic Publishing, 2023

6206183440 / 9786206183440

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

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Title
MPPT Under Partial Shading Conditions Using Artificial Neural Network : Maximum Powerpoint Tracking; Radial Basis Function Neural Network; Boosted Salp Swarm Optimization
Author
Antonyraj S.
Publisher
LAP LAMBERT Academic Publishing
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206183440
ISBN 13
9786206183440
Item weight
107 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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