scholarly journals Model-based maximum power point tracking for photovoltaic panels: parameters identification and training database collection

2020 ◽  
Vol 14 (15) ◽  
pp. 2876-2884
Author(s):  
Loredana Cristaldi ◽  
Marco Faifer ◽  
Christian Laurano ◽  
Roberto Ottoboni ◽  
Sergio Toscani ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Parameters Identification ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Photovoltaic Panels ◽  
Model Based ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
And Training

scholarly journals A New MPPT Control for Photovoltaic Panels by Instantaneous Maximum Power Point Tracking

2004 ◽  
Vol 124 (12) ◽  
pp. 1182-1188 ◽  
Author(s):  
Daiki Tokushima ◽  
Masato Uchida ◽  
Satoshi Kanbei ◽  
Hiroki Ishikawa ◽  
Haruo Naitoh
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Photovoltaic Panels ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Model Based Optimisation Algorithm for Maximum Power Point Tracking in Photovoltaic Panels

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4798
Author(s):  
Faiçal Hamidi ◽  
Severus Constantin Olteanu ◽  
Dumitru Popescu ◽  
Houssem Jerbi ◽  
Ingrid Dincă ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Real Life ◽  
Maximum Power ◽  
Mathematical Form ◽  
Step Size ◽  
Maximum Power Point ◽  
Photovoltaic Panels ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Extracting maximum energy from photovoltaic (PV) systems at varying conditions is crucial. It represents a problem that is being addressed by researchers who are using several techniques to obtain optimal outcomes in real-life scenarios. Among the many techniques, Maximum Power Point Tracking (MPPT) is one category that is not extensively researched upon. MPPT uses mathematical models to achieve gradient optimisation in the context of PV panels. This study proposes an enhanced maximisation problem based on gradient optimisation techniques to achieve better performance. In the context of MPPT in photovoltaic panels, an equality restriction applies, which is solved by employing the Dual Lagrangian expression. Considering this dual problem and its mathematical form, the Nesterov Accelerated Gradient (NAG) framework is used. Additionally, since it is challenging to ascertain the step size, its approximate value is taken using the Adadelta approach. A basic MPPT framework, along with a DC-to-DC convertor, was simulated to validate the results.

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