Hybrid maximum power point tracking algorithm with improved dynamic performance

Bahrami, Milad; Gavagsaz-Ghoachani, Roghayeh; Zandi, Majid; Phattanasak, Matheepot; Maranzana, Gaël; Nahid‐Mobarakeh, Babak; Pierfederici, Serge; Meibody‐Tabar, Farid

doi:10.1016/j.renene.2018.07.020

Cited by 74 publications

(30 citation statements)

References 47 publications

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“…A direct and fully explicit method of extracting the solar cell parameters from the manufacturer datasheet is tested and presented in [29] and the authors base their method on analytical formulation which includes the use of the Lambert W-function with the aim of turning the series resistor equation explicit. The authors in propose a three-point weight method shared with fuzzy logic for increasing the speed of MPPT [30] and in this study the simulation was performed in Matlab and was experimentally validated. The followed methodology was made for the comparison of the models in meteorological conditions as wide as possible.…”

Section: Representative Equationsmentioning

confidence: 99%

“…The nominal characteristic curves are obtained with Equations (4), (22), and (27). The remaining scenarios are supported by Equations (4), (26), (27), (29), and (30), where Equation 29is a cubic relation between the inverse current and the temperature as proposed in [53,54]:…”

Section: Assessing Equationsmentioning

confidence: 99%

“…The current and power strokes in nominal regime are estimated with Equations (34), (47), and (49). In a more comprehensive meteorological frame the calculation is carried out with the Equations (29), (30), (34), (48), and (49).…”

Section: Assessing the Simulation Equationsmentioning

confidence: 99%

See 2 more Smart Citations

Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Rodrigues¹,

Godina

Marzband

et al. 2018

Energies

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The amount of energy generated from a photovoltaic installation depends mainly on two factors—the temperature and solar irradiance. Numerous maximum power point tracking (MPPT) techniques have been developed for photovoltaic systems. The challenge is what method to employ in order to obtain optimum operating points (voltage and current) automatically at the maximum photovoltaic output power in most conditions. This paper is focused on the structural analysis of mathematical models of PV cells with growing levels of complexity. The main objective is to simulate and compare the characteristic current-voltage (I-V) and power-voltage (P-V) curves of equivalent circuits of the ideal PV cell model and, with one and with two diodes, that is, equivalent circuits with five and seven parameters. The contribution of each parameter is analyzed in the particular context of a given model and then generalized through comparison to a more complex model. In this study the numerical simulation of the models is used intensively and extensively. The approach utilized to model the equivalent circuits permits an adequate simulation of the photovoltaic array systems by considering the compromise between the complexity and accuracy. By utilizing the Newton–Raphson method the studied models are then employed through the use of Matlab/Simulink. Finally, this study concludes with an analysis and comparison of the evolution of maximum power observed in the models.

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Section: Representative Equationsmentioning

confidence: 99%

Section: Assessing Equationsmentioning

confidence: 99%

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Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Rodrigues¹,

Godina

Marzband

et al. 2018

Energies

View full text Add to dashboard Cite

show abstract

“…In addition, many works have investigated the effect of partial shading conditions (PSC) on the extracted PV energy, always with the aim of improving the PV system efficiency. As a result, several GMPPT techniques have been proposed in the literature to make PV systems working at the actual best efficiency under PSC [8][9][10][11][12][13]. On the other hand, to validate the performance of these techniques, it is necessary to test them before implementation.…”

Section: Introductionmentioning

confidence: 99%

Trusted Simulation Using Proteus Model for a PV System: Test Case of an Improved HC MPPT Algorithm

Chalh¹,

Hammoumi²,

Motahhir³

et al. 2020

Energies

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The real implementation of the maximum power point tracking (MPPT) controllers for the photovoltaic (PV) systems is still a big challenge for researchers working in this field. Often, they use simulation tools to assess the performance of their MPPT algorithms before actual implementation. In this context, this paper aims to propose a trusted simulation of a PV system designed under Proteus software. The proposed PV simulator can be used to verify and evaluate the performance of MPPT algorithms with a closer approximation to the real implementation. The main advantage of this model that it contains a real microcontroller, as can be found in reality, so that same code for the MPPT algorithm used in the simulation will be used in real implementation. In contrast, when using (Powersim Software) PSIM or Matlab/Simulink, the code of the algorithm must be rewritten once the real experiment begins, because these tools don't provide a microcontroller or an electronic board in which our algorithm can be implemented and tested in the same way as the real experiment. After this section, a modified Hill-Climbing (HC) algorithm is introduced. The proposed algorithm can avoid the drift problem posed by conventional HC under a fast variation in insolation. The simulation results show that this method presents good performance in terms of efficiency (99.21%) and response time (10 ms), which improved by 1.2% and 70 ms respectively compared to the conventional HC algorithm.

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“…Another advanced searching technique named PSO-based MPPT algorithm TSPSOEM is proposed [30] by utilizing properties of particle swarm optimization (PSO) and shuffled frog leaping algorithm (SFLA). The other hybrid method proposed by incorporating properties of FLC and three-point weight method in [31].…”

Section: Introductionmentioning

confidence: 99%

Fractional Chaos Maps with Flower Pollination Algorithm for Partial Shading Mitigation of Photovoltaic Systems

et al. 2019

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Solar Photovoltaic (PV) systems have become prominent and have attained the attention of energy engineers, governments and researchers. To achieve the maximum benefit from the PV system in spite of its nonlinear characteristic and environmental conditions, finding a robust maximum power point tracking method is essential. Over two decades, various researchers proposed numerous MPPT methods, but they failed to evaluate their methods on consistency, reliability, and robustness over several numbers of runs. Most of the researchers examined one configuration and they did not to consider the dynamic change in the irradiation conditions. Therefore, in this manuscript, the authors introduced a novel optimization technique Fractional chaotic Flower Pollination Algorithm (FC-FPA), by merging fractional chaos maps with flower pollination algorithm (FPA). The proposed technique, help FPA in extracting the Global Maximum Power Point (GMPP) under different partial shading patterns including with different PV array configurations. The proposed FC-FPA technique is tested and evaluated over 5 different patterns of partial shading conditions. The first three patterns are tested over 4S configuration made with Shell S36 PV module. The other two patterns are applied to the 4S2P configuration of Shell SM55 PV panels. The performance of the proposed variant is investigated by tracking the GMPP for abruptly changing shade pattern. Exclusive statistical analysis is performed over several numbers of runs. Comparison with perturb and observe MPPT technique is established. These results confirm that, the proposed method shows fast convergence, zero oscillation and rapid response for the dynamic change in irradiation with consistent behavior.

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Hybrid maximum power point tracking algorithm with improved dynamic performance

Cited by 74 publications

References 47 publications

Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Trusted Simulation Using Proteus Model for a PV System: Test Case of an Improved HC MPPT Algorithm

Fractional Chaos Maps with Flower Pollination Algorithm for Partial Shading Mitigation of Photovoltaic Systems

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