A new wide input voltage DC-DC converter for solar PV systems with hybrid MPPT controller.

And high robustness Duty cycle Efficiency of the converter Fast MPP tracking speed Good system dynamic response

Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
09 May 2024
Historique:
received: 14 04 2024
accepted: 06 05 2024
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 9 5 2024
Statut: epublish

Résumé

The present working conventional power generation systems utilization is reducing day by day because of their demerits are more functioning cost, high carbon dioxide emission, more complexity in handling, and required high installation area. So, the current power generation company focuses on Renewable Energy Sources (RES) which are wind, tidal, and solar. Here, the solar power network is utilized for supplying electricity to the electrical vehicle battery charging system. The Solar photovoltaic (PV) modules supply nonlinear power which is not useful for automotive systems. To maximize the supply power of the solar PV system, an Adaptive Step Genetic Algorithm Optimized (ASGAO) Radial Basis Functional Network (RBFN) is utilized for tracking the working point of the solar PV module thereby enhancing the operating efficiency of the overall system. The features of this proposed hybrid Maximum Power Point Tracking (MPPT) controller are quick system dynamic response, easy operation, quick convergence speed, more robustness, and high operating efficiency when equalized with the basic MPPT controllers. The major issue of solar PV modules is low supply voltage which is increased by introducing the wide input voltage DC-DC converter. The merits of this introduced converter are low-level voltage stress on diodes, good quality supply power, high voltage gain, plus low implementation cost. Here, the introduced converter along with the AGAO-RBFN controller is analyzed by selecting the MATLAB/Simulink environment. Also, the proposed converter is tested with the help of a programable DC source.

Identifiants

pubmed: 38724666
doi: 10.1038/s41598-024-61367-x
pii: 10.1038/s41598-024-61367-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10639

Informations de copyright

© 2024. The Author(s).

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Auteurs

Sunkara Sunil Kumar (SS)

Vignan's Foundation for Science Technology and Research, Vadlamudi, India.

K Balakrishna (K)

Vignan's Foundation for Science Technology and Research, Vadlamudi, India. kbk_eee@vignan.ac.in.

Classifications MeSH