Design of an Open Source CubeSat Solar Module with a Built in Variable Step Incremental Conductance Maximum Power Point Tracker

2021 ◽  
Author(s):  
David A. Lay ◽  
Grace Semerjian
Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2331
Author(s):  
Isaac Owusu-Nyarko ◽  
Mohamed A. Elgenedy ◽  
Ibrahim Abdelsalam ◽  
Khaled H. Ahmed

A highly efficient photovoltaic (PV) system requires a maximum power point tracker to extract peak power from PV modules. The conventional variable step-size incremental conductance (INC) maximum power point tracking (MPPT) technique has two main drawbacks. First, it uses a pre-set scaling factor, which requires manual tuning under different irradiance levels. Second, it adapts the slope of the PV characteristics curve to vary the step-size, which means any small changes in PV module voltage will significantly increase the overall step-size. Subsequently, it deviates the operating point away from the actual reference. In this paper, a new modified variable step-size INC algorithm is proposed to address the aforementioned problems. The proposed algorithm consists of two parts, namely autonomous scaling factor and slope angle variation algorithm. The autonomous scaling factor continuously adjusts the step-size without using a pre-set constant to control the trade-off between convergence speed and tracking precision. The slope angle variation algorithm mitigates the impact of PV voltage change, especially during variable irradiance conditions to improve the MPPT efficiency. The theoretical investigations of the new technique are carried out while its practicability is confirmed by simulation and experimental results.


2013 ◽  
Vol 347-350 ◽  
pp. 1833-1838
Author(s):  
Ping Wang ◽  
Zhe Zhou ◽  
Meng Meng Cai ◽  
Jing Bin Zhang

This paper presents an improved multistage variable-step incremental conductance method to achieve the maximum power point tracking (MPPT). Compared with the traditional variable-step incremental conductance method, this improved algorithm optimizes the selection of the step size so that the tracking of the maximum power point is more quickly and the steady-state performance is better. Furthermore, the algorithm can still guarantee the quickness and accuracy of MPPT when the environmental conditions change suddenly and tremendously. At last, matlab simulation was applied to compare the characteristics of multistage variable-step algorithm with that of the other. And the simulation results verified that the improved algorithm has better dynamic and steady-state performance.


OALib ◽  
2017 ◽  
Vol 04 (05) ◽  
pp. 1-12
Author(s):  
M. Tabassum ◽  
M. A. Aziz Jahan ◽  
N. Jahan ◽  
M. M. Rahman ◽  
M. N. Sadik

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