Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System

Solar energy harvesting using Photovoltaic (PV) systems is one of the most popular sources of renewable energy, however the main drawback of PV systems is their low conversion efficiency. An optimal system operation requires an efficient tracking of the Maximum Power Point (MPP), which represents th...

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Main Authors: Leopoldo Gil-Antonio, Belem Saldivar, Otniel Portillo-Rodríguez, Juan Carlos Ávila-Vilchis, Pánfilo Raymundo Martínez-Rodríguez, Rigoberto Martínez-Méndez
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/10/1843
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author Leopoldo Gil-Antonio
Belem Saldivar
Otniel Portillo-Rodríguez
Juan Carlos Ávila-Vilchis
Pánfilo Raymundo Martínez-Rodríguez
Rigoberto Martínez-Méndez
author_facet Leopoldo Gil-Antonio
Belem Saldivar
Otniel Portillo-Rodríguez
Juan Carlos Ávila-Vilchis
Pánfilo Raymundo Martínez-Rodríguez
Rigoberto Martínez-Méndez
author_sort Leopoldo Gil-Antonio
collection DOAJ
description Solar energy harvesting using Photovoltaic (PV) systems is one of the most popular sources of renewable energy, however the main drawback of PV systems is their low conversion efficiency. An optimal system operation requires an efficient tracking of the Maximum Power Point (MPP), which represents the maximum energy that can be extracted from the PV panel. This paper presents a novel control approach for the Maximum Power Point Tracking (MPPT) based on the differential flatness property of the Boost converter, which is one of the most used converters in PV systems. The underlying idea of the proposed control approach is to use the classical flatness-based trajectory tracking control where a reference voltage will be defined in terms of the maximum power provided by the PV panel. The effectiveness of the proposed controller is assessed through numerical simulations and experimental tests. The results show that the controller based on differential flatness is capable of converging in less than 0.15 s and, compared with other MPPT techniques, such as Incremental Conductance and Perturb and Observe, it improves the response against sudden changes in load or weather conditions, reducing the ringing in the output of the system. Based on the results, it can be inferred that the new flatness-based controller represents an alternative to improve the MPPT in PV systems, especially when they are subject to sudden load or weather changes.
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spelling doaj.art-3444a5e6d2bc401799524c08194ded552022-12-22T02:21:26ZengMDPI AGEnergies1996-10732019-05-011210184310.3390/en12101843en12101843Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic SystemLeopoldo Gil-Antonio0Belem Saldivar1Otniel Portillo-Rodríguez2Juan Carlos Ávila-Vilchis3Pánfilo Raymundo Martínez-Rodríguez4Rigoberto Martínez-Méndez5Faculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, MexicoFaculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, MexicoFaculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, MexicoFaculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, MexicoSchool of Sciencies, UASLP, San Luis Potosi 78290, SLP, MexicoFaculty of Engineering, Autonomous University of the State of Mexico, Instituto Literario No. 100 Oriente, Toluca 50130, Estado de México, MexicoSolar energy harvesting using Photovoltaic (PV) systems is one of the most popular sources of renewable energy, however the main drawback of PV systems is their low conversion efficiency. An optimal system operation requires an efficient tracking of the Maximum Power Point (MPP), which represents the maximum energy that can be extracted from the PV panel. This paper presents a novel control approach for the Maximum Power Point Tracking (MPPT) based on the differential flatness property of the Boost converter, which is one of the most used converters in PV systems. The underlying idea of the proposed control approach is to use the classical flatness-based trajectory tracking control where a reference voltage will be defined in terms of the maximum power provided by the PV panel. The effectiveness of the proposed controller is assessed through numerical simulations and experimental tests. The results show that the controller based on differential flatness is capable of converging in less than 0.15 s and, compared with other MPPT techniques, such as Incremental Conductance and Perturb and Observe, it improves the response against sudden changes in load or weather conditions, reducing the ringing in the output of the system. Based on the results, it can be inferred that the new flatness-based controller represents an alternative to improve the MPPT in PV systems, especially when they are subject to sudden load or weather changes.https://www.mdpi.com/1996-1073/12/10/1843MPPTdifferential flatnessnonlinear control
spellingShingle Leopoldo Gil-Antonio
Belem Saldivar
Otniel Portillo-Rodríguez
Juan Carlos Ávila-Vilchis
Pánfilo Raymundo Martínez-Rodríguez
Rigoberto Martínez-Méndez
Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System
Energies
MPPT
differential flatness
nonlinear control
title Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System
title_full Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System
title_fullStr Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System
title_full_unstemmed Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System
title_short Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System
title_sort flatness based control for the maximum power point tracking in a photovoltaic system
topic MPPT
differential flatness
nonlinear control
url https://www.mdpi.com/1996-1073/12/10/1843
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