scholarly journals Desain Simulasi Maksimum Power Point Tracking Metode P&O Pada Panel Surya Di Azzahra Hidroponik Juata Tarakan

2021 ◽  
Vol 7 (1) ◽  
pp. 5-10
Author(s):  
Abil Huda ◽  
Wahyudi Siraju

Solar panels are electricity generators that utilize solar energy. One of them is the Azzahra Hydroponic solar panel with a capacity of 200 Wp which has a non-linear output. According to Amri, (2015) this is due to the changing conditions of the sun. To solve the non-linear problem of solar panels, there are 2 types of controllers, namely PWM and MPPT. This study uses the Perturb Observe (PO) method because this method is simpler, has efficiency and a high level of accuracy compared to other methods (Kesler, 2016). Under conditions of intensity S= 1000 and temperature T = 40°, Pmax is 201.5 W, Po is 201.1 W and the time required for MPPT to track is 0.003 seconds, at S=500 T=25, Pmax= 97 ,7 W and Po = 96.4 W and the time required is 0.006 seconds. And in the condition S = 100 T = 10 obtained Pmax = 9.4 W, Po = 9.3 W and the time required for MPPT to track is 0.04 seconds. Based on the simulation results, it can be concluded that the maximum power point tracking (MPPT) simulation design using the perturb and observe (PO) method was successful and MPPT was able to track the maximum power on Azzahra Hydroponic solar panels under conditions of varying intensity and temperature.

2019 ◽  
Vol 5 ◽  
pp. 545-554 ◽  
Author(s):  
A.E. Yaakoubi ◽  
L. Amhaimar ◽  
K. Attari ◽  
M.H. Harrak ◽  
M.E. Halaoui ◽  
...  

2018 ◽  
Vol 17 (1) ◽  
pp. 57
Author(s):  
S Udhayakumar ◽  
R A Sindhu ◽  
R Srivasthan ◽  
Y Yogaraj

The harvesting of solar energy is gaining increasing attention as it is pollution free and is available in abundance. Various researches and experiments are being carried out to improve the efficiency of power conversion by altering the material of the photovoltaic panels, by incorporating tracking systems and by making use of Maximum Power Point Tracking (MPPT) algorithms. The conventional rigidly fixed solar panels limit their area of exposure to the sun during the entire day. The use of tracker increases the area of panel exposed to direct beam of the sun, thus increasing the power generated. MPPT algorithm tracks the maximum power point attained at all loads and extracts the power from the panel at that voltage. Despite the variations in the external environment, the power obtained from the panel is always maximum. This paper reviews various tracking methods and MPPT techniques to increase the energy harvesting capacity of the panel and in turn improve its efficiency.


2021 ◽  
Vol 57 (1) ◽  
pp. 17-25
Author(s):  
Ibrahim Saiful Millah ◽  
Ramadhani Kurniawan Subroto ◽  
You Wei Chang ◽  
Kuo Lung Lian ◽  
Bwo-Ren Ke

2021 ◽  
Vol 3 (2) ◽  
pp. 133-140
Author(s):  
Marhaposan Situmorang ◽  
Monika Panjaitan

Solar energy has been considered as a promising renewable energy source for electric power generation. Solar panel systems have become a popular object to be developed by researchers, but the low efficiency of solar panels in energy conversion is one of the weaknesses of this system. Factors that affect the output produced by solar panels are the intensity of sunlight and the working temperature of the solar panels. The solar panel module has a single operating point where the voltage and current outputs produce the maximum power output. There are three main methods in Maximum Power Point Tracking (MPPT), namely conventional methods, artificial intelligence methods, and hybrid methods. In most solar panel systems, this study uses Maximum Power Point Tracking (MPPT) with perturb and observe algorithms to maximize the use of solar energy. The maximum power point extracted by MPPT will be supplied to the battery and controlled by the Charge Controller. The energy stored in the battery will be used by the Thermo Electric Cooler cooling system to reach the desired temperature point using the keypad as temperature input.


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