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
Published in:Energies (Basel) 2018-03, Vol.11 (3), p.606
Main Authors: Mumtaz, Sidra, Ahmad, Saghir, Khan, Laiq, Ali, Saima, Kamal, Tariq, Hassan, Syed
Format: Article
Language:English
Subjects:
Adaptive algorithms
Algorithms
Conductance
Control systems
Evolutionary algorithms
Feedback
Feedback linearization
hybrid renewable energy system (HRES)
Incremental conductance
Irradiance
Maximum power
maximum power point tracking (MPPT)
NeuroFuzzy
photovoltaic (PV)
Photovoltaics
Resistance
Solar cells
Variation
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Summary: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) algorithm for a photovoltaic (PV) subsystem in a grid-integrated hybrid renewable energy system (HRES) is proposed. The performance of the stated (AFBLNF-MPPT) control strategy is approved through a comprehensive grid-tied HRES test-bed established in MATLAB/Simulink. It outperforms the incremental conductance (IC) based adaptive indirect NeuroFuzzy (IC-AIndir-NF) control scheme, IC-based adaptive direct NeuroFuzzy (IC-ADir-NF) control system, IC-based adaptive proportional-integral-derivative (IC-AdapPID) control scheme, and conventional IC algorithm for a PV subsystem in both transient as well as steady-state modes for varying temperature and irradiance profiles. The comparative analyses were carried out on the basis of performance indexes and efficiency of MPPT.
ISSN:1996-1073
1996-1073
DOI:10.3390/en11030606