Iterative model-based Maximum Power Point Tracker for photovoltaic panels

Marco Faifer; Loredana Cristaldi; Sergio Toscani; Payam Soulatiantork; Marco Rossi

doi:10.1109/I2MTC.2015.7151456

Iterative model-based Maximum Power Point Tracker for photovoltaic panels

Marco Faifer
, Loredana Cristaldi
, Sergio Toscani
, Payam Soulatiantork
, Marco Rossi

School of Mechanical and Aerospace Engineering

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

18 Citations (Scopus)

Abstract

Maximum Power Point Tracking (MPPT) techniques are used to maintain the photovoltaic (PV) panel operating point near its maximum power point (MPP). In general, the location of the MPP on the V-I plane is not known, but it can be reached, either through a-priori knowledge or by search algorithms. Lots of tracking algorithms have been presented in literature, and in the last years the focus has been moved on improving the performance during rapid changes without sacrificing the efficiency in steady state conditions. Model-based (MB) MPPT techniques guarantees excellent dynamic performance, since they locate MPP directly from a model of the PV panel in the present operating conditions, which are represented by solar radiation and temperature. In a recent paper the authors have presented a new approach to MPPT for PV panels which do not require a direct measurement of the solar radiation. In this work it will be shown how a simpler model can be employed to track MPP using an iterative technique. This method has been validated through experimentation.

Original language	English
Title of host publication	2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow: Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings
Place of Publication	Palazzo dei CongressiPisa
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1273-1278
Number of pages	6
Volume	2015-July
ISBN (Electronic)	9781479961139
ISBN (Print)	978-1-4799-6114-6
DOIs	https://doi.org/10.1109/I2MTC.2015.7151456
Publication status	Published - 06 Jul 2015
Event	2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 - Pisa, Italy Duration: 11 May 2015 → 14 May 2015

Publication series

Name	2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

Conference

Conference	2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015
Country/Territory	Italy
City	Pisa
Period	11/05/2015 → 14/05/2015

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy efficiency
Modeling
Parameter estimation
Photovoltaic cells
Solar energy

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/I2MTC.2015.7151456

Cite this

Faifer, M., Cristaldi, L., Toscani, S., Soulatiantork, P., & Rossi, M. (2015). Iterative model-based Maximum Power Point Tracker for photovoltaic panels. In 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow: Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings (Vol. 2015-July, pp. 1273-1278). Article 7151456 (2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2MTC.2015.7151456

Faifer, Marco ; Cristaldi, Loredana ; Toscani, Sergio et al. / Iterative model-based Maximum Power Point Tracker for photovoltaic panels. 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow: Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings. Vol. 2015-July Palazzo dei CongressiPisa : Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1273-1278 (2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings).

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abstract = "Maximum Power Point Tracking (MPPT) techniques are used to maintain the photovoltaic (PV) panel operating point near its maximum power point (MPP). In general, the location of the MPP on the V-I plane is not known, but it can be reached, either through a-priori knowledge or by search algorithms. Lots of tracking algorithms have been presented in literature, and in the last years the focus has been moved on improving the performance during rapid changes without sacrificing the efficiency in steady state conditions. Model-based (MB) MPPT techniques guarantees excellent dynamic performance, since they locate MPP directly from a model of the PV panel in the present operating conditions, which are represented by solar radiation and temperature. In a recent paper the authors have presented a new approach to MPPT for PV panels which do not require a direct measurement of the solar radiation. In this work it will be shown how a simpler model can be employed to track MPP using an iterative technique. This method has been validated through experimentation.",

keywords = "Energy efficiency, Modeling, Parameter estimation, Photovoltaic cells, Solar energy",

author = "Marco Faifer and Loredana Cristaldi and Sergio Toscani and Payam Soulatiantork and Marco Rossi",

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Faifer, M, Cristaldi, L, Toscani, S, Soulatiantork, P & Rossi, M 2015, Iterative model-based Maximum Power Point Tracker for photovoltaic panels. in 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow: Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings. vol. 2015-July, 7151456, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Institute of Electrical and Electronics Engineers Inc., Palazzo dei CongressiPisa, pp. 1273-1278, 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015, Pisa, Italy, 11/05/2015. https://doi.org/10.1109/I2MTC.2015.7151456

Iterative model-based Maximum Power Point Tracker for photovoltaic panels. / Faifer, Marco; Cristaldi, Loredana; Toscani, Sergio et al.
2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow: Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings. Vol. 2015-July Palazzo dei CongressiPisa: Institute of Electrical and Electronics Engineers Inc., 2015. p. 1273-1278 7151456 (2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings).

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

TY - GEN

T1 - Iterative model-based Maximum Power Point Tracker for photovoltaic panels

AU - Faifer, Marco

AU - Cristaldi, Loredana

AU - Toscani, Sergio

AU - Soulatiantork, Payam

AU - Rossi, Marco

PY - 2015/7/6

Y1 - 2015/7/6

N2 - Maximum Power Point Tracking (MPPT) techniques are used to maintain the photovoltaic (PV) panel operating point near its maximum power point (MPP). In general, the location of the MPP on the V-I plane is not known, but it can be reached, either through a-priori knowledge or by search algorithms. Lots of tracking algorithms have been presented in literature, and in the last years the focus has been moved on improving the performance during rapid changes without sacrificing the efficiency in steady state conditions. Model-based (MB) MPPT techniques guarantees excellent dynamic performance, since they locate MPP directly from a model of the PV panel in the present operating conditions, which are represented by solar radiation and temperature. In a recent paper the authors have presented a new approach to MPPT for PV panels which do not require a direct measurement of the solar radiation. In this work it will be shown how a simpler model can be employed to track MPP using an iterative technique. This method has been validated through experimentation.

AB - Maximum Power Point Tracking (MPPT) techniques are used to maintain the photovoltaic (PV) panel operating point near its maximum power point (MPP). In general, the location of the MPP on the V-I plane is not known, but it can be reached, either through a-priori knowledge or by search algorithms. Lots of tracking algorithms have been presented in literature, and in the last years the focus has been moved on improving the performance during rapid changes without sacrificing the efficiency in steady state conditions. Model-based (MB) MPPT techniques guarantees excellent dynamic performance, since they locate MPP directly from a model of the PV panel in the present operating conditions, which are represented by solar radiation and temperature. In a recent paper the authors have presented a new approach to MPPT for PV panels which do not require a direct measurement of the solar radiation. In this work it will be shown how a simpler model can be employed to track MPP using an iterative technique. This method has been validated through experimentation.

KW - Energy efficiency

KW - Modeling

KW - Parameter estimation

KW - Photovoltaic cells

KW - Solar energy

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DO - 10.1109/I2MTC.2015.7151456

M3 - Conference contribution

AN - SCOPUS:84938833704

SN - 978-1-4799-6114-6

VL - 2015-July

T3 - 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

SP - 1273

EP - 1278

BT - 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow: Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Palazzo dei CongressiPisa

T2 - 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015

Y2 - 11 May 2015 through 14 May 2015

ER -

Faifer M, Cristaldi L, Toscani S, Soulatiantork P, Rossi M. Iterative model-based Maximum Power Point Tracker for photovoltaic panels. In 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow: Providing a Better Perspective on Complex Systems, I2MTC 2015 - Proceedings. Vol. 2015-July. Palazzo dei CongressiPisa: Institute of Electrical and Electronics Engineers Inc. 2015. p. 1273-1278. 7151456. (2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings). doi: 10.1109/I2MTC.2015.7151456

Iterative model-based Maximum Power Point Tracker for photovoltaic panels

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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