An improved MPPT control-based ANFIS method to maximize power tracking of PEM fuel cell system

Tao, Hai; Wang, Dan; Muranaka, Tetsuya

doi:10.1016/j.seta.2022.102629

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…However, it may not work effectively in shaded conditions of PV modules. The ANFIS methodology is utilized in the article 84 for reducing solar faults. ANFIS is a kind of neural network that works depending on the Takagi-Sugeno fuzzy inference model.…”

Section: Variable Step-adaptive Neuro-fuzzy Inference System Mppt Con...mentioning

confidence: 99%

A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions

Hussaian Basha,

Palati,

Dhanamjayulu

et al. 2024

Sci Rep

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At present, fossil fuel-based power generation systems are reducing drastically because of their less availability in nature. In addition, it produces hazardous gasses and high environmental pollution. So, in this work, the solar natural source is selected for generating the electricity. Due to the nonlinear behavior of PV, achieving maximum voltage from the Photovoltaic (PV) system is a more tough job. In this work, various hybrid optimization controllers are studied for tracing the working power point of the PV under different Partial Shading Conditions. The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. Based on the simulative comparison results, it has been observed that the modified Grey Wolf Optimization based ANFIS hybrid MPPT method provides good results when equated with the other power point tracking techniques. Here, the conventional converter helps increase the PV source voltage from one level to another level. The proposed system is investigated by using the MATLAB/Simulink tool.

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Section: Variable Step-adaptive Neuro-fuzzy Inference System Mppt Con...mentioning

confidence: 99%

A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions

Hussaian Basha,

Palati,

Dhanamjayulu

et al. 2024

Sci Rep

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“…The study [34] describes an MPPT control technique for solar systems based on an adaptive neuro-fuzzy inference system (ANFIS). The ANFIS model is trained to predict the ideal voltage for maximizing PV output power.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Photovoltaic Efficiency with the Optimized Steepest Gradient Method and Serial Multi-Cellular Converters

et al. 2023

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Many methods have been developed to aid in achieving the maximum power point (MPP) generated by PV fields in order to improve photovoltaic (PV) production. The optimized steepest gradient technique (OSGM), which is used to extract the maximum power produced by a PV field coupled to a multicell series converter, is one such promising methodology. The OSGM uses the power function’s first and second derivatives to find the optimal voltage (Vpv) and converge to the voltage (Vref) that secures the MPP. The mathematical model was developed in Matlab/Simulink, and the MPPT algorithm’s performance was evaluated in terms of reaction time, oscillations, overshoots, and stability. The OSGM has a faster response time, fewer oscillations around the MPP, and minimal energy loss. Furthermore, the numerical calculation of the gradient and Hessian of the power function enables accurate modeling, improving the system’s precision. These findings imply that the OSGM strategy may be a more efficient way of obtaining MPP for PV fields. Future research can look into the suitability of this method for different types of PV systems, as well as ways to improve the algorithm’s performance for specific applications.

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An intelligent optimized deep network-based predictive system for wind power plant application

Baseer,

Almunif,

Alsaduni

et al. 2024

Electr Eng

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An improved MPPT control-based ANFIS method to maximize power tracking of PEM fuel cell system

Cited by 8 publications

References 25 publications

A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions

A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions

Enhancing Photovoltaic Efficiency with the Optimized Steepest Gradient Method and Serial Multi-Cellular Converters

An intelligent optimized deep network-based predictive system for wind power plant application

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