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

Sidra Mumtaz, Saghir Ahmad, Laiq Khan, Saima Ali, Tariq Kamal and Syed Zulqadar Hassan
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Sidra Mumtaz: Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan
Saghir Ahmad: Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan
Laiq Khan: Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan
Saima Ali: Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan
Tariq Kamal: Department of Electrical and Electronics Engineering, Faculty of Engineering, Sakarya University, Serdivan 54050, Sakarya, Turkey
Syed Zulqadar Hassan: Department of Power System and Its Automation, Chongqing University, Chongqing 400044, China

Energies, 2018, vol. 11, issue 3, 1-15

Abstract: 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.

Keywords: photovoltaic (PV); maximum power point tracking (MPPT); NeuroFuzzy; feedback linearization; hybrid renewable energy system (HRES) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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