An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller

Muhammad Sheraz; M. A. Abido

doi:10.1109/eais.2014.6867487

An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller

Muhammad Sheraz
, M. A. Abido

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

17 Scopus citations

Abstract

Photovoltaic (PV) panel can be represented by an equivalent electric circuit where the major problem with this PV model is the determination of the model parameters. In this paper, PV parameter estimation problem is converted to an optimization problem where Differential Evolution (DE) as an efficient optimizing technique is employed to estimate the model parameters at standard test condition (STC) (1000 W/m² and 25°C) using the data provided by the manufacturer. A complete equivalent electric circuit model of the PV panel is developed in the MATLAB/Simulink and estimated parameters values are verified by comparing the determined I-V curves with the experimental data given in the data sheet. The developed PV model has been examined under different operating conditions and its accuracy has been verified. An efficient maximum power point tracking (MPPT) controller based on the Fuzzy Logic is also proposed. Analysis and comparison shows that the FLC based controller is more efficient and overcome the shortcomings of the conventional methods.

Original language	English
Title of host publication	2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings
Editors	Plamen Angelov, Dimitar Filev, Nikola Kasabov, Edwin Lughofer, Erich Peter Klement, Susanne Saminger-Platz, Jose A. Iglesias, Moamar Sayed-Mouchaweh
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479933471
DOIs	https://doi.org/10.1109/eais.2014.6867487
State	Published - 2014

Publication series

Name	2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Differential Evolution (DE)
Fuzzy logic
Maximum power point tracking (MPPT)
Photovoltaic (PV)

ASJC Scopus subject areas

Software

Access to Document

10.1109/eais.2014.6867487

Cite this

Sheraz, M., & Abido, M. A. (2014). An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller. In P. Angelov, D. Filev, N. Kasabov, E. Lughofer, E. P. Klement, S. Saminger-Platz, J. A. Iglesias, & M. Sayed-Mouchaweh (Eds.), 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings Article 6867487 (2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/eais.2014.6867487

Sheraz, Muhammad ; Abido, M. A. / An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller. 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings. editor / Plamen Angelov ; Dimitar Filev ; Nikola Kasabov ; Edwin Lughofer ; Erich Peter Klement ; Susanne Saminger-Platz ; Jose A. Iglesias ; Moamar Sayed-Mouchaweh. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings).

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title = "An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller",

abstract = "Photovoltaic (PV) panel can be represented by an equivalent electric circuit where the major problem with this PV model is the determination of the model parameters. In this paper, PV parameter estimation problem is converted to an optimization problem where Differential Evolution (DE) as an efficient optimizing technique is employed to estimate the model parameters at standard test condition (STC) (1000 W/m2 and 25°C) using the data provided by the manufacturer. A complete equivalent electric circuit model of the PV panel is developed in the MATLAB/Simulink and estimated parameters values are verified by comparing the determined I-V curves with the experimental data given in the data sheet. The developed PV model has been examined under different operating conditions and its accuracy has been verified. An efficient maximum power point tracking (MPPT) controller based on the Fuzzy Logic is also proposed. Analysis and comparison shows that the FLC based controller is more efficient and overcome the shortcomings of the conventional methods.",

keywords = "Differential Evolution (DE), Fuzzy logic, Maximum power point tracking (MPPT), Photovoltaic (PV)",

author = "Muhammad Sheraz and Abido, \{M. A.\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",

year = "2014",

doi = "10.1109/eais.2014.6867487",

language = "English",

series = "2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings",

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Sheraz, M & Abido, MA 2014, An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller. in P Angelov, D Filev, N Kasabov, E Lughofer, EP Klement, S Saminger-Platz, JA Iglesias & M Sayed-Mouchaweh (eds), 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings., 6867487, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/eais.2014.6867487

An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller. / Sheraz, Muhammad; Abido, M. A.
2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings. ed. / Plamen Angelov; Dimitar Filev; Nikola Kasabov; Edwin Lughofer; Erich Peter Klement; Susanne Saminger-Platz; Jose A. Iglesias; Moamar Sayed-Mouchaweh. Institute of Electrical and Electronics Engineers Inc., 2014. 6867487 (2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings).

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

TY - GEN

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AU - Sheraz, Muhammad

AU - Abido, M. A.

PY - 2014

Y1 - 2014

N2 - Photovoltaic (PV) panel can be represented by an equivalent electric circuit where the major problem with this PV model is the determination of the model parameters. In this paper, PV parameter estimation problem is converted to an optimization problem where Differential Evolution (DE) as an efficient optimizing technique is employed to estimate the model parameters at standard test condition (STC) (1000 W/m2 and 25°C) using the data provided by the manufacturer. A complete equivalent electric circuit model of the PV panel is developed in the MATLAB/Simulink and estimated parameters values are verified by comparing the determined I-V curves with the experimental data given in the data sheet. The developed PV model has been examined under different operating conditions and its accuracy has been verified. An efficient maximum power point tracking (MPPT) controller based on the Fuzzy Logic is also proposed. Analysis and comparison shows that the FLC based controller is more efficient and overcome the shortcomings of the conventional methods.

AB - Photovoltaic (PV) panel can be represented by an equivalent electric circuit where the major problem with this PV model is the determination of the model parameters. In this paper, PV parameter estimation problem is converted to an optimization problem where Differential Evolution (DE) as an efficient optimizing technique is employed to estimate the model parameters at standard test condition (STC) (1000 W/m2 and 25°C) using the data provided by the manufacturer. A complete equivalent electric circuit model of the PV panel is developed in the MATLAB/Simulink and estimated parameters values are verified by comparing the determined I-V curves with the experimental data given in the data sheet. The developed PV model has been examined under different operating conditions and its accuracy has been verified. An efficient maximum power point tracking (MPPT) controller based on the Fuzzy Logic is also proposed. Analysis and comparison shows that the FLC based controller is more efficient and overcome the shortcomings of the conventional methods.

KW - Differential Evolution (DE)

KW - Fuzzy logic

KW - Maximum power point tracking (MPPT)

KW - Photovoltaic (PV)

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M3 - Conference contribution

AN - SCOPUS:84920546117

T3 - 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

BT - 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

A2 - Angelov, Plamen

A2 - Filev, Dimitar

A2 - Kasabov, Nikola

A2 - Lughofer, Edwin

A2 - Klement, Erich Peter

A2 - Saminger-Platz, Susanne

A2 - Iglesias, Jose A.

A2 - Sayed-Mouchaweh, Moamar

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Sheraz M, Abido MA. An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller. In Angelov P, Filev D, Kasabov N, Lughofer E, Klement EP, Saminger-Platz S, Iglesias JA, Sayed-Mouchaweh M, editors, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 6867487. (2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings). doi: 10.1109/eais.2014.6867487

An efficient approach for parameter estimation of PV model using de and fuzzy based MPPT controller

Abstract

Publication series

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

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