Maximum power point tracking of photovoltaic system using adaptive fuzzy controller

Mohamed M. Refaat; Yousry Atia; M. M. Sayed; Hossam A.Abdel Fattah

doi:10.1109/ACCS-PEIT.2017.8303030

Maximum power point tracking of photovoltaic system using adaptive fuzzy controller

Mohamed M. Refaat^*
, Yousry Atia
, M. M. Sayed
, Hossam A.Abdel Fattah

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

This paper exhibits a complete design of maximum power point tracking (MPPT) control scheme based on an adaptive fuzzy controller. This controller is intended to upgrade the efficiency of a photovoltaic (PV) array and to diminish the output power oscillations. The adaptive nature of the proposed controller provides online tuning of fuzzy rules parameters to deal with varying sun radiation and ambient temperature. The adaptive MPPT controller is compared with existing setups, namely the 'incremental conductance' (I.C) technique and fuzzy logic controller (FLC). Simulation results demonstrate the supremacy of the adaptive technique in terms of the speed of tracking and oscillations reduction around the maximum of power-voltage (P-V) curve.

Original language	English
Title of host publication	ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	127-131
Number of pages	5
ISBN (Electronic)	9781538664070
DOIs	https://doi.org/10.1109/ACCS-PEIT.2017.8303030
State	Published - 2 Jul 2017
Externally published	Yes
Event	2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology, ACCS/PEIT 2017 - Alexandria, Egypt Duration: 5 Nov 2017 → 8 Nov 2017

Publication series

Name	ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology
Volume	2018-February

Conference

Conference	2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology, ACCS/PEIT 2017
Country/Territory	Egypt
City	Alexandria
Period	5/11/17 → 8/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

an adaptive fuzzy logic controller (AFLC)
MPPT
PV system

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Signal Processing
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/ACCS-PEIT.2017.8303030

Cite this

Refaat, M. M., Atia, Y., Sayed, M. M., & Fattah, H. A. A. (2017). Maximum power point tracking of photovoltaic system using adaptive fuzzy controller. In ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology (pp. 127-131). (ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology; Vol. 2018-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACCS-PEIT.2017.8303030

Refaat, Mohamed M. ; Atia, Yousry ; Sayed, M. M. et al. / Maximum power point tracking of photovoltaic system using adaptive fuzzy controller. ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 127-131 (ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology).

@inproceedings{c254b13c536546789320b5dc2ac619ab,

title = "Maximum power point tracking of photovoltaic system using adaptive fuzzy controller",

abstract = "This paper exhibits a complete design of maximum power point tracking (MPPT) control scheme based on an adaptive fuzzy controller. This controller is intended to upgrade the efficiency of a photovoltaic (PV) array and to diminish the output power oscillations. The adaptive nature of the proposed controller provides online tuning of fuzzy rules parameters to deal with varying sun radiation and ambient temperature. The adaptive MPPT controller is compared with existing setups, namely the 'incremental conductance' (I.C) technique and fuzzy logic controller (FLC). Simulation results demonstrate the supremacy of the adaptive technique in terms of the speed of tracking and oscillations reduction around the maximum of power-voltage (P-V) curve.",

keywords = "an adaptive fuzzy logic controller (AFLC), MPPT, PV system",

author = "Refaat, \{Mohamed M.\} and Yousry Atia and Sayed, \{M. M.\} and Fattah, \{Hossam A.Abdel\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology, ACCS/PEIT 2017 ; Conference date: 05-11-2017 Through 08-11-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/ACCS-PEIT.2017.8303030",

language = "English",

series = "ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Refaat, MM, Atia, Y, Sayed, MM & Fattah, HAA 2017, Maximum power point tracking of photovoltaic system using adaptive fuzzy controller. in ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology. ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology, vol. 2018-February, Institute of Electrical and Electronics Engineers Inc., pp. 127-131, 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology, ACCS/PEIT 2017, Alexandria, Egypt, 5/11/17. https://doi.org/10.1109/ACCS-PEIT.2017.8303030

Maximum power point tracking of photovoltaic system using adaptive fuzzy controller. / Refaat, Mohamed M.; Atia, Yousry; Sayed, M. M. et al.
ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology. Institute of Electrical and Electronics Engineers Inc., 2017. p. 127-131 (ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology; Vol. 2018-February).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Maximum power point tracking of photovoltaic system using adaptive fuzzy controller

AU - Refaat, Mohamed M.

AU - Atia, Yousry

AU - Sayed, M. M.

AU - Fattah, Hossam A.Abdel

PY - 2017/7/2

Y1 - 2017/7/2

N2 - This paper exhibits a complete design of maximum power point tracking (MPPT) control scheme based on an adaptive fuzzy controller. This controller is intended to upgrade the efficiency of a photovoltaic (PV) array and to diminish the output power oscillations. The adaptive nature of the proposed controller provides online tuning of fuzzy rules parameters to deal with varying sun radiation and ambient temperature. The adaptive MPPT controller is compared with existing setups, namely the 'incremental conductance' (I.C) technique and fuzzy logic controller (FLC). Simulation results demonstrate the supremacy of the adaptive technique in terms of the speed of tracking and oscillations reduction around the maximum of power-voltage (P-V) curve.

AB - This paper exhibits a complete design of maximum power point tracking (MPPT) control scheme based on an adaptive fuzzy controller. This controller is intended to upgrade the efficiency of a photovoltaic (PV) array and to diminish the output power oscillations. The adaptive nature of the proposed controller provides online tuning of fuzzy rules parameters to deal with varying sun radiation and ambient temperature. The adaptive MPPT controller is compared with existing setups, namely the 'incremental conductance' (I.C) technique and fuzzy logic controller (FLC). Simulation results demonstrate the supremacy of the adaptive technique in terms of the speed of tracking and oscillations reduction around the maximum of power-voltage (P-V) curve.

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AN - SCOPUS:85050671165

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology, ACCS/PEIT 2017

Y2 - 5 November 2017 through 8 November 2017

ER -

Refaat MM, Atia Y, Sayed MM, Fattah HAA. Maximum power point tracking of photovoltaic system using adaptive fuzzy controller. In ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology. Institute of Electrical and Electronics Engineers Inc. 2017. p. 127-131. (ACCS/PEIT 2017 - 2017 Intl Conf on Advanced Control Circuits Systems and 2017 Intl Conf on New Paradigms in Electronics and Information Technology). doi: 10.1109/ACCS-PEIT.2017.8303030

Maximum power point tracking of photovoltaic system using adaptive fuzzy controller

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this