An improved maximum power point tracking method for a photovoltaic system

Ouoba, David; Fakkar, Abderrahim; Kouari, Y. El; Dkhichi, Fayrouz; Oukarfi, Benyounes

doi:10.1016/j.optmat.2016.01.026

Cited by 17 publications

(10 citation statements)

References 22 publications

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“…Therefore, there will not be any oscillations around the MPP. The scaling function of the variable perturbation–size MPP tracking phenomena is typically given as

italicΔD = N \times \frac{\partial P_{SPV}}{\partial V_{SPV}} .

…”

Section: Proposed Autoscaling Perturbation‐size Mpp Tracking Algorithmmentioning

confidence: 99%

A novel autoscaling variable perturbation size maximum power point tracker applied to photovoltaic (PV) system

Gupta

Patel

Ladha

et al. 2020

Int Trans Electr Energ Syst

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Summary Conventional variable perturbation–size maximum power point (MPP) tracking methods use a constant multiplying factor to enable fast convergence process. However, it potentially leads to the sluggish dynamic response. In this context, a novel autoscaling variable perturbation–size MPP tracking algorithm is proposed to precisely recognize the MPP under an abrupt change in solar irradiance. Initially, a new perturbation size scaling function of the duty cycle is defined, which typically modulates the DC‐DC boost converter output. The principle objective of employing this algorithm is to enable the fast dynamic response while harvesting steady‐state power with nearly zero sustained power oscillations around the MPP. In a second step, a method is proposed to improve the decision‐making system during a sudden change in irradiance. The proposed MPP technique optimally achieves 99.72% tracking efficiency without much computational intensiveness, which is better compared with previous MPP tracking methods. The adaptability of the proposed technique is validated through a comprehensive set of MATLAB/Simulink software simulation studies followed by a low‐cost STM32F407VGT6‐based microcontroller‐based experimental setup. Furthermore, the reliability of the proposed algorithm is also investigated. The result implies that the proposed MPP tracker operates satisfactorily under sudden changes in irradiance.

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“…Therefore, there will not be any oscillations around the MPP. The scaling function of the variable perturbation–size MPP tracking phenomena is typically given as

italicΔD = N \times \frac{\partial P_{SPV}}{\partial V_{SPV}} .

…”

Section: Proposed Autoscaling Perturbation‐size Mpp Tracking Algorithmmentioning

confidence: 99%

A novel autoscaling variable perturbation size maximum power point tracker applied to photovoltaic (PV) system

Gupta

Patel

Ladha

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

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“…If these conditions are uniform there is a unique peak where the PV power is maximized, this peak is known as Maximum Power Point (MPP) and it is achieved by invoking an adequate Maximum Power Point Tracking algorithm [8], [9]. In the state of the art, there is a considerable amount of Maximum Power Point Tracking methods, a deep description and comparison of the existent MPPT methods has been published in several papers [4], [5], [10]- [26]. Nevertheless, the most common algorithms are those based on a climbing technique, for instance, the Perturb and Observer method (P&O) [4], [13], [16], [24]; the Incremental Conductance algorithm (InC) or the Hill Climbing (HC) technique [27], [28].…”

Section: Introductionmentioning

confidence: 99%

Numerical Experimental Validation of a Proposed MPPT Algorithm with Dynamic Hysteresis for PV Systems

Puig¹,

Acho²,

Rodellar³

2024

RE&PQJ

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In the last decades, the renewable energies have had a highly positive effect on the daily life. This due to the necessity of reducing the common fuel energies that have negatively impacted the environment. Among all the available renewable energies, the solar energy is one of the most common. This energy is obtained through Photovoltaic (PV) systems. Thus, in previous years, new techniques of Maximum Power Point Tracking (MPPT) to raise the quality of the energy provided by PV panels have been proposed. Since the energy provided by the PV cells depends on the external environmental conditions, as temperature or sun irradiance, the MPPT methods should be adequate to deal with these external changes by maintaining the desired power level. Hence, this paper proposes a recent hysteretic dynamic technique to extract the maximum power from a PV panel array by employing a Boost DC/DC converter to supply energy to an inductive load. Here, a comparative study between the results obtained with the well known Perturb and Observer (P&O) algorithm and by using our dynamic hysteretic MPPT method is analyzed, specifically when the PV panel is submitted to fast variations in temperature and irradiance. It will be proved through numerical experiments realized in MatLab/Simulink that our hysteretic MPPT algorithm provides a better achievement of the maximum power of the PV panel in comparison to the conventional Perturb and Observer method.

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“…However, in real operating conditions, the influence of a temperature variation on the PV panel may be negligible compared to the irradiation changes [20,21]. In general, the MPPT is an important challenge because the condition that determines the amount of energy into the PV module may change at any time [22]. The principle of the MPPT requires a dynamical optimizator, which usually consists of a switching converter that is auto adjustable in terms of the voltage, current or power of the PV panel at its terminals.…”

Section: Introductionmentioning

confidence: 99%

“…In consequence, the load seen by the panel is manipulated to achieve the MPPT objective [23,24]. Previously, numerous MPPT techniques have been proposed, developed and efficiently implemented [1,6,22,23,[25][26][27][28][29][30][31][32][33][34]. Some of them are based on the PV model; for instance, those methods that fit in this branch are the Fractional Open-Circuit Voltage and Short-Circuit Current [24].…”

Section: Introductionmentioning

confidence: 99%

“…Some of them are based on the PV model; for instance, those methods that fit in this branch are the Fractional Open-Circuit Voltage and Short-Circuit Current [24]. However, these techniques have the primary disadvantage of periodically requiring disconnection or realizing short-circuits in the PV module and then inducing a significant power loss [22]. On the other hand, the most simple methods are known by their easy implementation and control structure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System

2018

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In the several last years, numerous Maximum Power Point Tracking (MPPT) methods for photovoltaic (PV) systems have been proposed. An MPPT strategy is necessary to ensure the maximum power efficiency provided to the load from a PV module that is subject to external environmental perturbations such as radiance, temperature and partial shading. In this paper, a new MPPT technique is presented. Our approach has the novelty that it is a MPPT algorithm with a dynamic hysteresis model incorporated. One of the most cited Maximum Power Point Tracking methods is the Perturb and Observer algorithm since it is easily implemented. A comparison between the approach presented in this paper and the known Perturb and Observer method is evaluated. Moreover, a new PV-system platform was properly designed by employing low cost electronics, which may serve as an academical platform for further research and developments. This platform is used to show that the proposed algorithm is more efficient than the standard Perturb and Observer method.

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An improved maximum power point tracking method for a photovoltaic system

Cited by 17 publications

References 22 publications

A novel autoscaling variable perturbation size maximum power point tracker applied to photovoltaic (PV) system

A novel autoscaling variable perturbation size maximum power point tracker applied to photovoltaic (PV) system

Numerical Experimental Validation of a Proposed MPPT Algorithm with Dynamic Hysteresis for PV Systems

Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System

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