Robust maximum power point tracking of photovoltaic generators based on real-time dynamic conductance estimation

2019 ◽  
Vol 200 ◽  
pp. 112068
Author(s):  
M. Sitbon ◽  
I. Aharon ◽  
M. Mellincovsky
2012 ◽  
Vol 17 ◽  
pp. 783-790 ◽  
Author(s):  
Changying Chen ◽  
Yue Hong ◽  
Hongtu Luo ◽  
Huishan Zhao ◽  
Chenxiao mo ◽  
...  

2014 ◽  
Vol 7 (5) ◽  
pp. 1294-1304 ◽  
Author(s):  
Rasoul Faraji ◽  
Amin Rouholamini ◽  
Hamid Reza Naji ◽  
Roohollah Fadaeinedjad ◽  
Mohammad Reza Chavoshian

2021 ◽  
Vol 9 ◽  
Author(s):  
Junfeng Zhou ◽  
Yubo Zhang ◽  
Shuxiao Zhang ◽  
Yuanjun Guo ◽  
Zhile Yang ◽  
...  

With the development of society, the demand for energy keeps increasing. Solar energy has received widespread concern for its renewable and environmentally friendly advantages. As one of the most efficient solar energy devices, the output power of photovoltaic (PV) cells is easily affected by the external environment. In order to solve the problem of the maximum power output of PV cells, this paper proposed a maximum power point tracking (MPPT) method. Based on the online particle swarm optimization (PSO) variable step length algorithm, the pulse width modulation (PWM) control module parameters are set according to the parameters of the PV cells’ output voltage. By dynamically adjusting the output voltage step of the PV cells online, the output of the PV cells is stabilized near the maximum power point (MPP). The simulation results concluded that the method and model could accurately adjust the output voltage according to the external environment changes in real time and reduce the voltage fluctuation at the MPP, providing a new idea to solve the problem of MPPT of PV cells.


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Abdullah M. Noman ◽  
Khaled E. Addoweesh ◽  
Hussein M. Mashaly

Maximum power point trackers are so important in photovoltaic systems to improve their overall efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent fuzzy logic controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC buck-boost converter. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic temperature and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all conditions tested. The MPPT system is then experimentally implemented. DSPACE is used in the implementation of the MPPT hardware setup for real-time control. Data acquisition and control system is implemented using dSPACE 1104 software and digital signal processor card. The simulation and practical results show that the proposed system tracked the maximum power accurately and successfully under all atmospheric conditions.


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