Improved variable step size P&O MPPT algorithm for PV systems

Xavier Serrano-Guerrero; José González-Romero; Xavier Cárdenas-Carangui; Guillermo Escrivá-Escrivá

doi:10.1109/UPEC.2016.8114046

Improved variable step size P&O MPPT algorithm for PV systems

Xavier Serrano-Guerrero
, José González-Romero
, Xavier Cárdenas-Carangui
, Guillermo Escrivá-Escrivá

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

28 Scopus citations

Abstract

Algorithms for the maximum power point tracking MPP (Maximum Power Point), seek to maximize the delivered power of a photovoltaic panel. The Perturb and Observe (P&O) algorithm is the more used due to simplicity, however it is not the most efficient due to the perturbation step is fixed, at higher the size step fastest the MPP will be reached, but there would be a high steady state error; if the size step is low there would be less steady state error, but the MPP tracking became slow. Other well know method is the algorithm of Conductance Incremental (IC), in this method the step depends of the power variation versus the voltage. The variable step for P&O is more efficient for short atmospheric variations with less oscillations in the tracking and the variable step for CI is more efficient for big atmospheric variations with a fast MPP tracking. In this paper the 2 methods are combine to reduce oscillations and for a fast tracking for big and short irradiance variations.

Original language	English
Title of host publication	Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781509046508
DOIs	https://doi.org/10.1109/UPEC.2016.8114046
State	Published - 2 Jul 2016
Event	51st International Universities Power Engineering Conference, UPEC 2016 - Coimbra, Portugal Duration: 6 Sep 2016 → 9 Sep 2016

Publication series

Name	Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
Volume	2017-January

Conference

Conference	51st International Universities Power Engineering Conference, UPEC 2016
Country/Territory	Portugal
City	Coimbra
Period	6/09/16 → 9/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Incremental Conductance (IC)
Maximum Power Point (MPP)
Maximum Power Point Tracking (MPPT)
Perturb and Observed (P&O)
Photovoltaic Systems (PV)
Variable step size

CACES Knowledge Areas

317A Electricity and Energy

Access to Document

10.1109/UPEC.2016.8114046

Cite this

Serrano-Guerrero, X., González-Romero, J., Cárdenas-Carangui, X., & Escrivá-Escrivá, G. (2016). Improved variable step size P&O MPPT algorithm for PV systems. In Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016 (pp. 1-6). (Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UPEC.2016.8114046

Serrano-Guerrero, Xavier ; González-Romero, José ; Cárdenas-Carangui, Xavier et al. / Improved variable step size P&O MPPT algorithm for PV systems. Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1-6 (Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016).

@inproceedings{2e4e59789b9d4ee493582e387bf20105,

title = "Improved variable step size P\&O MPPT algorithm for PV systems",

abstract = "Algorithms for the maximum power point tracking MPP (Maximum Power Point), seek to maximize the delivered power of a photovoltaic panel. The Perturb and Observe (P\&O) algorithm is the more used due to simplicity, however it is not the most efficient due to the perturbation step is fixed, at higher the size step fastest the MPP will be reached, but there would be a high steady state error; if the size step is low there would be less steady state error, but the MPP tracking became slow. Other well know method is the algorithm of Conductance Incremental (IC), in this method the step depends of the power variation versus the voltage. The variable step for P\&O is more efficient for short atmospheric variations with less oscillations in the tracking and the variable step for CI is more efficient for big atmospheric variations with a fast MPP tracking. In this paper the 2 methods are combine to reduce oscillations and for a fast tracking for big and short irradiance variations.",

keywords = "Incremental Conductance (IC), Maximum Power Point (MPP), Maximum Power Point Tracking (MPPT), Perturb and Observed (P\&O), Photovoltaic Systems (PV), Variable step size",

author = "Xavier Serrano-Guerrero and Jos{\'e} Gonz{\'a}lez-Romero and Xavier C{\'a}rdenas-Carangui and Guillermo Escriv{\'a}-Escriv{\'a}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 51st International Universities Power Engineering Conference, UPEC 2016 ; Conference date: 06-09-2016 Through 09-09-2016",

year = "2016",

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doi = "10.1109/UPEC.2016.8114046",

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Serrano-Guerrero, X, González-Romero, J, Cárdenas-Carangui, X & Escrivá-Escrivá, G 2016, Improved variable step size P&O MPPT algorithm for PV systems. in Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016. Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 51st International Universities Power Engineering Conference, UPEC 2016, Coimbra, Portugal, 6/09/16. https://doi.org/10.1109/UPEC.2016.8114046

Improved variable step size P&O MPPT algorithm for PV systems. / Serrano-Guerrero, Xavier; González-Romero, José; Cárdenas-Carangui, Xavier et al.
Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1-6 (Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016; Vol. 2017-January).

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

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AU - Cárdenas-Carangui, Xavier

AU - Escrivá-Escrivá, Guillermo

PY - 2016/7/2

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N2 - Algorithms for the maximum power point tracking MPP (Maximum Power Point), seek to maximize the delivered power of a photovoltaic panel. The Perturb and Observe (P&O) algorithm is the more used due to simplicity, however it is not the most efficient due to the perturbation step is fixed, at higher the size step fastest the MPP will be reached, but there would be a high steady state error; if the size step is low there would be less steady state error, but the MPP tracking became slow. Other well know method is the algorithm of Conductance Incremental (IC), in this method the step depends of the power variation versus the voltage. The variable step for P&O is more efficient for short atmospheric variations with less oscillations in the tracking and the variable step for CI is more efficient for big atmospheric variations with a fast MPP tracking. In this paper the 2 methods are combine to reduce oscillations and for a fast tracking for big and short irradiance variations.

AB - Algorithms for the maximum power point tracking MPP (Maximum Power Point), seek to maximize the delivered power of a photovoltaic panel. The Perturb and Observe (P&O) algorithm is the more used due to simplicity, however it is not the most efficient due to the perturbation step is fixed, at higher the size step fastest the MPP will be reached, but there would be a high steady state error; if the size step is low there would be less steady state error, but the MPP tracking became slow. Other well know method is the algorithm of Conductance Incremental (IC), in this method the step depends of the power variation versus the voltage. The variable step for P&O is more efficient for short atmospheric variations with less oscillations in the tracking and the variable step for CI is more efficient for big atmospheric variations with a fast MPP tracking. In this paper the 2 methods are combine to reduce oscillations and for a fast tracking for big and short irradiance variations.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 6 September 2016 through 9 September 2016

ER -

Serrano-Guerrero X, González-Romero J, Cárdenas-Carangui X, Escrivá-Escrivá G. Improved variable step size P&O MPPT algorithm for PV systems. In Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1-6. (Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016). doi: 10.1109/UPEC.2016.8114046

Improved variable step size P&O MPPT algorithm for PV systems

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

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Cite this