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Microsystem Technologies

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09.06.2023 | Technical Paper

Radial basis function network based PV and wind system using maximum power point tracking

verfasst von: Saumen Dhara, Alok Kumar Shrivastav, Pradip Kumar Sadhu

Erschienen in: Microsystem Technologies | Ausgabe 5/2024

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Abstract

This paper presents the MPPT algorithm for the proposed hybrid energy system, i.e., PV and wind systems, and is tested for grid-connected and standalone utilities. This study's major objective is to maximize the power output and enhance the power quality of the hybrid renewable energy technologies that have been created. In the literature, many research scholars have worked in the field of MPPT calculations for PV and wind systems, which increases the number of publications in the field of control calculations for hybrid power systems. This study pays attention to designing a controller based on MPPT for extracting maximum energy from wind and PV energy systems. The suggested algorithm is tested in grid and standalone modes, considering variable weather conditions. The proposed system is designed for 500 W solar and wind plants with the usual step-up converter and tested in MATLAB software to judge the efficacy of the suggested controller designed for MPPT. In this work, the suggested radial basis function network is implemented in wind and PV facilities via MPPT technique-based ANN control to obtain the maximum power by using fuzzy controllers.

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Titel: Radial basis function network based PV and wind system using maximum power point tracking
verfasst von: Saumen Dhara
Alok Kumar Shrivastav
Pradip Kumar Sadhu
Publikationsdatum: 09.06.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Microsystem Technologies / Ausgabe 5/2024
Print ISSN: 0946-7076
Elektronische ISSN: 1432-1858
DOI: https://doi.org/10.1007/s00542-023-05485-y

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