A Modified Fibonacci Search Algorithm for Maximum Power Point Tracking of Photovoltaic System Under Partial Shading Conditions

Author(s):  
Akshaya K. Pati ◽  
Nirod C. Sahoo
Solar Energy ◽  
2017 ◽  
Vol 158 ◽  
pp. 490-503 ◽  
Author(s):  
Karim Kaced ◽  
Cherif Larbes ◽  
Naeem Ramzan ◽  
Moussaab Bounabi ◽  
Zine elabadine Dahmane

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1866 ◽  
Author(s):  
Nubia Ponce de León Puig ◽  
Leonardo Acho ◽  
José Rodellar

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.


2016 ◽  
Vol 39 (2) ◽  
pp. 244-256 ◽  
Author(s):  
Qichang Duan ◽  
Mingxuan Mao ◽  
Pan Duan ◽  
Bei Hu

In a photovoltaic (PV) system, maximum power point tracking (MPPT) under partial shading (PS) conditions is a challenging task due to the presence of multiple peaks in the power voltage characteristics. This paper puts forward a novel artificial fish-swarm algorithm (FSA), which is optimized by particle swarm optimization with extended memory (PSOEM-FSA). In this algorithm, both the velocity inertia factor and the memory and learning capacity of PSOEM are introduced into the FSA. To validate the effectiveness of the novel algorithm, the PV system along with the proposed MPPT algorithm was simulated using Matlab/Simulink Simscape tool box. The simulation results show that the proposed approach is effective in MPPT under PS conditions and has a more stable performance when compared with the traditional methods in convergence speed and searching precision.


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