Artificial Neural Networks in MPPT Algorithms for Optimization of Photovoltaic Power Systems: A Review

Artificial Neural Networks in MPPT Algorithms for Optimization of Photovoltaic Power Systems: A Review

The use of photovoltaic systems for clean electrical energy has increased. However, due to their low efficiency, researchers have looked for ways to increase their effectiveness and improve their efficiency. The Maximum Power Point Tracking (MPPT) inverters allow us to maximize the extraction of as...

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Bibliographic Details
Main Authors: César G. Villegas-Mier, Juvenal Rodriguez-Resendiz, José M. Álvarez-Alvarado, Hugo Rodriguez-Resendiz, Ana Marcela Herrera-Navarro, Omar Rodríguez-Abreo
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Micromachines
Subjects:
neural networks
maximum power point tracking
photovoltaic systems
neuro-fuzzy
hybrid algorithms
Online Access:https://www.mdpi.com/2072-666X/12/10/1260

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