A fuzzy logical-based variable step size P&O MPPT algorithm for photovoltaic system

John Macaulay; Zhongfu Zhou

doi:10.3390/en11061340

A fuzzy logical-based variable step size P&O MPPT algorithm for photovoltaic system

John Macaulay^*, Zhongfu Zhou

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

90 Citations (Scopus)

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 limitations 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 indoor emulated PV source that is constructed from a conventional solar panel and a DC power supply, a boost DC-DC converter and a dSPACE-based MPPT controller. 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.

Original language	English
Article number	en11061340
Journal	Energies
Volume	11
Issue number	6
DOIs	https://doi.org/10.3390/en11061340
Publication status	Published - 25 May 2018
Externally published	Yes

Keywords

DSPACE
Fuzzy logic
P&O MPPT
PV emulator
Variable step size

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/en11061340

Cite this

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title = "A fuzzy logical-based variable step size P&O MPPT algorithm for photovoltaic system",

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 limitations 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 indoor emulated PV source that is constructed from a conventional solar panel and a DC power supply, a boost DC-DC converter and a dSPACE-based MPPT controller. 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 = "DSPACE, Fuzzy logic, P&O MPPT, PV emulator, Variable step size",

author = "John Macaulay and Zhongfu Zhou",

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AU - Zhou, Zhongfu

N1 - Publisher Copyright: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

PY - 2018/5/25

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N2 - 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 limitations 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 indoor emulated PV source that is constructed from a conventional solar panel and a DC power supply, a boost DC-DC converter and a dSPACE-based MPPT controller. 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.

AB - 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 limitations 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 indoor emulated PV source that is constructed from a conventional solar panel and a DC power supply, a boost DC-DC converter and a dSPACE-based MPPT controller. 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.

KW - DSPACE

KW - Fuzzy logic

KW - P&O MPPT

KW - PV emulator

KW - Variable step size

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JF - Energies

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ER -

A fuzzy logical-based variable step size P&O MPPT algorithm for photovoltaic system

Abstract

Keywords

UN SDGs

Access to Document

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