scholarly journals An Improved Bat Algorithm for More Efficient and Faster Maximum Power Point Tracking for a Photovoltaic System Under Partial Shading Conditions

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 96378-96390 ◽  
Author(s):  
Chih Yu Liao ◽  
Ramadhani Kurniawan Subroto ◽  
Ibrahim Saiful Millah ◽  
Kuo Lung Lian ◽  
Wei-Tzer Huang
Keyword(s):  
Maximum Power Point Tracking ◽  
Bat Algorithm ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Bat algorithm based maximum power point tracking for photovoltaic system under partial shading conditions

Solar Energy ◽  
2017 ◽  
Vol 158 ◽  
pp. 490-503 ◽  
Author(s):  
Karim Kaced ◽  
Cherif Larbes ◽  
Naeem Ramzan ◽  
Moussaab Bounabi ◽  
Zine elabadine Dahmane
Keyword(s):  
Maximum Power Point Tracking ◽  
Bat Algorithm ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm

2018 ◽  
Vol 10 (5) ◽  
pp. 1347 ◽  
Author(s):  
Mehdi Seyedmahmoudian ◽  
Tey Kok Soon ◽  
Elmira Jamei ◽  
Gokul Thirunavukkarasu ◽  
Ben Horan ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Bat Algorithm ◽  
Maximum Power ◽  
Photovoltaic Systems ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1866 ◽  
Author(s):  
Nubia Ponce de León Puig ◽  
Leonardo Acho ◽  
José Rodellar
Keyword(s):  
Power Efficiency ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In the several last years, numerous Maximum Power Point Tracking (MPPT) methods for photovoltaic (PV) systems have been proposed. An MPPT strategy is necessary to ensure the maximum power efficiency provided to the load from a PV module that is subject to external environmental perturbations such as radiance, temperature and partial shading. In this paper, a new MPPT technique is presented. Our approach has the novelty that it is a MPPT algorithm with a dynamic hysteresis model incorporated. One of the most cited Maximum Power Point Tracking methods is the Perturb and Observer algorithm since it is easily implemented. A comparison between the approach presented in this paper and the known Perturb and Observer method is evaluated. Moreover, a new PV-system platform was properly designed by employing low cost electronics, which may serve as an academical platform for further research and developments. This platform is used to show that the proposed algorithm is more efficient than the standard Perturb and Observer method.

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