A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller

Hassan, Tehzeeb-ul; Abbassi, Rabeh; Jerbi, Houssem; Mehmood, Kashif; Tahir, Muhammad Faizan; Cheema, Khalid Mehmood; Elavarasan, Rajvikram Madurai; Ali, Farman; Khan, Irfan

doi:10.3390/en13154007

Cited by 66 publications

(45 citation statements)

References 43 publications

(45 reference statements)

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“…Other authors have proposed tracking the MPP using other optimization algorithms such as the feeding behavior of the whales [12] or bee colonies [13]. Another MPPT method used in partial shading is based on fuzzy logic [14,15]. This method requires experience from the designer and there is a possibility to converge to a local maximum.…”

Section: Of 12mentioning

confidence: 99%

A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions

Gil-Velasco

Aguilar-Castillo

2021

Energies

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There are multiples conditions that lead to partial shading conditions (PSC) in photovoltaic systems (PV). Under these conditions, the harvested energy decreases in the PV system. The maximum power point tracking (MPPT) controller aims to harvest the greatest amount of energy even under partial shading conditions. The simplest available MPPT algorithms fail on PSC, whereas the complex ones are effective but require high computational resources and experience in this type of systems. This paper presents a new MPPT algorithm that is simple but effective in tracking the global maximum power point even in PSC. The simulation and experimental results show excellent performance of the proposed algorithm. Additionally, a comparison with a previously proposed algorithm is presented. The comparison shows that the proposal in this paper is faster in tracking the maximum power point than complex algorithms.

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Section: Of 12mentioning

confidence: 99%

A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions

Gil-Velasco

Aguilar-Castillo

2021

Energies

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“…The discriminants of the algorithm in this paper are all integers; that the problem of deviation from the theoretical straight line caused by the retention of decimals of significant digits can be avoided. Some other literatures also proposed some new algorithms or related error analysis: they verify the effectiveness and advantages of the algorithm through comparison and analysis with other related literatures [26,27]. In this article, the effectiveness and advantages of our algorithm are shown through MATLAB simulation, comparison, and analysis with other related literature.…”

Section: Matlab Simulation Discussionmentioning

confidence: 67%

Spatial Straight-Line Drawing Algorithm Based on Method of Discriminate Regions—A Control Algorithm of Motors

et al. 2020

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A novelty algorithm of spatial straight-line drawing based on a method of discriminate regions is proposed in this paper based on Bresenham’s algorithm. Three-dimensional space is divided into innumerable three-dimensional meshes according to the given rule; the distance between the start and the end points of the three coordinates is Δx, Δy, and Δz, respectively; the distribution types of spatial straight line and the position of the end point are determined by judging the relationship among Δx, Δy, and Δz; then, the active-passive directions can be determined. The plane of the ending point of the straight line in a three-dimensional mesh is divided into four regions; then, the discriminant is obtained; and this discriminant determine which region the point is located in The algorithm is verified and analyzed by the method of contrastive analysis; the results show that: the error of the algorithm is related to the step length L; the maximum theoretical error is 0.7071*L. The discriminants are all integers, so the problem of deviation from the theoretical straight line caused by the retention of decimals of significant digits can be avoided. Finally, the algorithm is applied to the cooperative control of multiple motors, and conversion between unit grid number and pulse number of motors is performed.

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“…The sliding mode control method used the online calculation and required more accurate time to calculate [5,6]. Besides, the fuzzy logic control method has a complex implementation [52] and requires the active power at each instant k, which takes more accurate time. Moreover, an additional electronic component needs to be connected between the boost converter and the load that introduces additional cost charges [6,52], which is not 10 International Journal of Photoenergy required for the proposed approach in this paper.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Besides, the fuzzy logic control method has a complex implementation [52] and requires the active power at each instant k, which takes more accurate time. Moreover, an additional electronic component needs to be connected between the boost converter and the load that introduces additional cost charges [6,52], which is not 10 International Journal of Photoenergy required for the proposed approach in this paper. Furthermore, the introduction of constant time delay allows to provide a delay-dependent condition of the PV system, which is ignored in other existing works [5,6,52].…”

Section: Simulation Resultsmentioning

confidence: 99%

Takagi–Sugeno State Delayed Feedback and Integral Control for PV Systems: Modeling, Simulation, and Control

Aiss

Barbosa

Chávez

et al. 2021

International Journal of Photoenergy

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The integration of the large-scale photovoltaic systems has experienced significant growth, which is similarly expected to occur with small-scale photovoltaic systems. Since small-scale systems must be simple in cost-effective components, control strategies must be implemented in low complexity circuits. However, current maximum power point tracking (MPPT) algorithms are generally complex and require electronic components to support variable control gains for different irradiance conditions, preventing simple MPPT implementations suitable for small-scale photovoltaic systems. This paper proposes a new control strategy to tackle the power tracking problem of the power systems. First, a dynamic model of the photovoltaic system is described and converted into a Takagi–Sugeno (T-S) model. Then, an MPPT scheme is proposed in series with a fixed integral and a fuzzy gain state delay feedback controller, which avoids the need for a variable control gain, simplifying the electronic implementation of the control strategy. New delay-dependent stabilization conditions based on the Lyapunov-Krasovskii functional are proposed in terms of a convex optimization problem, where the delayed feedback and integral gains are designed simultaneously. Simulation results using Matlab and Simulink are used to validate the proposed method.

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A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller

Cited by 66 publications

References 43 publications

A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions

A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions

Spatial Straight-Line Drawing Algorithm Based on Method of Discriminate Regions—A Control Algorithm of Motors

Takagi–Sugeno State Delayed Feedback and Integral Control for PV Systems: Modeling, Simulation, and Control

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