Enhanced auto-scaling incremental conductance MPPT method, implemented on low-cost microcontroller and SEPIC converter

Necaibia, Salah; Kelaiaia, Mounia Samira; Labar, Hocine; Neçaïbia, Ammar; Castronuovo, Edgardo D.

doi:10.1016/j.solener.2019.01.028

Cited by 78 publications

(33 citation statements)

References 50 publications

(44 reference statements)

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“…Hence, this is not a true adaptive MPPT technique. The operating area B is detected by the following condition [36]: Another important condition is defined to detect large variation in either load or insolation as [36]:…”

Section: Performance Comparisonmentioning

confidence: 99%

“…In this paper, for the sake of comparison, the result of [36] is also simulated with Z = 1.64 and E = 0.1092 calculated from Equations (42) and (43), respectively, for change in insolation level from G = 0 to 800 W/m 2 . The large step-size ΔD LS = 0.03 and small step-size ΔD SS = 0.005 are considered.…”

Section: Performance Comparisonmentioning

confidence: 99%

“…The efficiencies tabulated are just indicative for comparison of the two methods and does not indicate absolute efficiency of the system. Experiments are also performed for lead-acid battery load (12 V, 7 Ah) using CSB technique with ASS and EAS IncCond [36] technique, and the corresponding convergence responses for change in insolation-level from 0 to 800 W/m 2 are shown in Figures 24 and 25, respectively. It is clear that both the techniques are effectively tracking the MPP point with the battery load.…”

Section: Experimental Setup and Validationmentioning

confidence: 99%

See 2 more Smart Citations

A current sensor based adaptive step‐size MPPT with SEPIC converter for photovoltaic systems

Kumar

Ghosh

Naidu

et al. 2021

IET Renewable Power Gen

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Efficient maximum power point tracking (MPPT) is an important problem for renewable power generation from photovoltaic systems. In this work, a current sensor based MPPT algorithm using an adaptive step-size for a single ended primary inductance converter (SEPIC) based solar photovoltaic system is proposed. Due to lower sensitivity of power to current perturbation as compared to the voltage one, such a scheme is shown to yield better efficiency at steady-state. A new adaptation scheme is also proposed for faster convergence of the MPPT technique. Hence, the proposed scheme yields better transient as well as steady-state performance. A prototype converter is used along with digital implementation of the proposed MPPT technique to demonstrate the superiority of the proposed algorithm over the fixed step-size and voltage based ones. Simulation and experimental results corroborates the same. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Performance Comparisonmentioning

confidence: 99%

Section: Performance Comparisonmentioning

confidence: 99%

Section: Experimental Setup and Validationmentioning

confidence: 99%

See 1 more Smart Citation

A current sensor based adaptive step‐size MPPT with SEPIC converter for photovoltaic systems

Kumar

Ghosh

Naidu

et al. 2021

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…For instance, an implementation of a P&O MPPT in Arduino can be found in [23]. In [24] a MPPT based on a modified incremental conductance is implemented in hardware. Recently, authors in [25] proposed a hybrid MPPT algorithm in combination with a Whale Optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

MPPT of a Photovoltaic Panels Array with Partial Shading Using the IPSM with Implementation Both in Simulation as in Hardware

et al. 2020

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This article presents a method for the Maximum Power Point Tracking (MPPT) of a Photovoltaic (PV) panels array with partial shading, applying an Improved Pattern Search Method (IPSM). The method is simulated in PSIM @ and then implemented in hardware in the loop system, emulating the PV array on an industrial computer (Speedgoat) that allows real-time emulations and the IPSM is applied in an Arduino DUE. The experiments were carried out with TP245S-20/WD, KYOCERA KC200GT, YINGLY SOLAR JS65, and MSX60 photovoltaic panels. The results are the proper MPPT with changes in partial shading over time, inducing the increase and decrease of the maximum power point. The results obtained are the search for the global maximum power point in a matrix of panels in which, due to partial shading, it might have several local maximum power points, and thanks to the IPSM algorithm, it always manages to find the global maximum power point. Finally, the results are compared with other methods where it was found that IPSM had faster answers.

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“…To solve the above problem, different algorithms have been proposed. In [6], an improved IC algorithm, which is able to locate the global maximum power point (GMPP) by identifying all the was simulated under static and dynamic partial shading conditions and compared with conventional P&O, PSO, and basic SSA MPPT methods to validate the effectiveness of this novel MPPT method.…”

Section: Introductionmentioning

confidence: 99%

A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems

et al. 2019

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To overcome the real-time problem of maximum power point tracking (MPPT) for partially shaded photovoltaic (PV) systems, a novel nature-inspired MPPT controller with fast convergence and high accuracy is proposed in this paper. The proposed MPPT controller is achieved by combining salp swarm algorithm (SSA) with grey wolf optimizer (GWO) (namely, SSA-GWO). The leader structure of the GWO algorithm is introduced into the basic SSA algorithm to enhance the global search capability. Numerical simulation on 13 benchmark functions was done to evaluate the proposed SSA-GWO algorithm. Finally, the MPPT performance on PV system with the proposed SSA-GWO algorithm under static and dynamic partial shading conditions was investigated and compared with conventional MPPT algorithms. The quantitative and simulation results validated the effectiveness and superiority of the proposed method.

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Enhanced auto-scaling incremental conductance MPPT method, implemented on low-cost microcontroller and SEPIC converter

Cited by 78 publications

References 50 publications

A current sensor based adaptive step‐size MPPT with SEPIC converter for photovoltaic systems

A current sensor based adaptive step‐size MPPT with SEPIC converter for photovoltaic systems

MPPT of a Photovoltaic Panels Array with Partial Shading Using the IPSM with Implementation Both in Simulation as in Hardware

A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems

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