Adaptive Feedback Linearization Based NeuroFuzzy Maximum Power Point Tracking for a Photovoltaic System

Adaptive Feedback Linearization Based NeuroFuzzy Maximum Power Point Tracking for a Photovoltaic System

In the current smart grid scenario, the evolution of a proficient and robust maximum power point tracking (MPPT) algorithm for a PV subsystem has become imperative due to the fluctuating meteorological conditions. In this paper, an adaptive feedback linearization-based NeuroFuzzy MPPT (AFBLNF-MPPT)...

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Bibliographic Details
Main Authors: Sidra Mumtaz, Saghir Ahmad, Laiq Khan, Saima Ali, Tariq Kamal, Syed Zulqadar Hassan
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Energies
Subjects:
photovoltaic (PV)
maximum power point tracking (MPPT)
NeuroFuzzy
feedback linearization
hybrid renewable energy system (HRES)
Online Access:http://www.mdpi.com/1996-1073/11/3/606

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http://www.mdpi.com/1996-1073/11/3/606

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