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A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System / John Macaulay; Zhongfu Zhou

Energies, Volume: 11, Issue: 6, Start page: 1340

Swansea University Author: Zhou, Zhongfu

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DOI (Published version): 10.3390/en11061340

Abstract

This paper presents a Modified Perturb & Observe (P&O) Maximum power point tracking (MPPT) algorithm using fuzzy logic-based variable step size to overcome some of the drawbacks associated with the conventional P&O MPPT tracking method to improve the transient response and reduce the ste...

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Published in: Energies
ISSN: 1996-1073
Published: MDPI 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa40416
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Abstract: This paper presents a Modified Perturb & Observe (P&O) Maximum power point tracking (MPPT) algorithm using fuzzy logic-based variable step size to overcome some of the drawbacks associated with the conventional P&O MPPT tracking method to improve the transient response and reduce the steady-state terminal voltage oscillations. The proposed MPPT algorithm was implemented and tested on an emulated PV source that is constructed from a conventional solar panel and a DC power supply. The advantage of implementing this testing platform for MPPT is easy implementation and indoor testing of MPPT algorithms and DC-DC power converters. Thus, dependency on atmospheric conditions such as irradiance level can be avoided. Details of the emulated PV source mathematical model and electrical characteristics, the proposed MPPT algorithm via dSPACE, simulation and test results were presented in the paper.
Keywords: variable step size; P&O MPPT; fuzzy logic; PV emulator; dSPACE
College: College of Engineering
Issue: 6
Start Page: 1340