Implementaasi Maximum Power Point Tracker (MPPT) dengan topologi sepic pada pembangkit listrik tenaga surya

JURNAL ELTEK ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 1
Author(s):  
Oktriza Melfazen ◽  
M. Taqijuddin Alawiy ◽  
Denda Dewatama

Terdapat rugi-rugi daya dalam proses menghasilkan daya pada Pembangkit Listrik Tenaga Surya (PLTS) konvensional. Sehingga energi yang dihasilkan tidak terserap secara maksimal. Sistem Pembangkit Listrik Tenaga Surya yang didesain dalam penelitian ini diharapkan dapat menghasilkan energi optimal dengan memanfaatkan kemampuan algoritma Maximum Power Point Tracking (MPPT) dengan metode Perturb and Obserb yang diaplikasikan pada topologi SEPIC. Pada penelitian ini, sistem  menggunakan panel surya berjenis amorphous 60W, sensor arus ACS712, sensor tegangan berupa pembagi tegangan dan rangkaian converter dengan topologi SEPIC yang dikontrol mikrokontroler Arduino UNO dengan sistem MPPT. Hasil penelitian yang didapat sebagai berikut: penempatan panel surya yang baik adalah menghadap atas (tegak lurus dengan permukaan bumi, sensor arus bekerja dengan eror rata-rata 1,92%, sensor tegangan mempunyai eror rata-rata 2,76%, dan topologi SEPIC dengan MPPT mempunyai hasil daya rata-rata 26,13 W.   There are power losses in the process of generating power in conventional Solar Power Plants (PLTS). So that the energy produced is not absorbed to the fullest. The Solar Power Sistem designed in this study is expected to produce optimal energy by utilizing the ability of the Maximum Power Point Tracking (MPPT) algorithm with the Perturb and Obserb method applied to the SEPIC topology. The sistem built in this study uses a 60W amorphous type solar panel, ACS712 current sensor, a voltage sensor in the form of a voltage divider and a converter circuit with a SEPIC topology controlled by an Arduino UNO microcontroller with an MPPT sistem.The results obtained as follows: a good placement of solar panels is facing upward (perpendicular to the surface of the earth, current sensors work with an average eror of 1.92%, voltage sensors have an average eror of 2.76%, and SEPIC topology with MPPT has an average power yield of 26.13 W.

2018 ◽  
Vol 7 (2.31) ◽  
pp. 97 ◽  
Author(s):  
M Jayakumar ◽  
V Vanitha ◽  
V Jaisuriya ◽  
M Karthikeyan ◽  
George Daniel ◽  
...  

Solar power is widely available around the globe but efficient transfer of solar power to the load becomes a challenging task. There are various methods in which the power transfer can be done, the following work proposes a method for efficient tracking of solar power.  MPPT [ maximum power point tracking] algorithm applied on three phase voltage source inverter connected to solar PV array with a three phase load. MPPT is applied on inverter rather than conventionally applying MPPT on DC-DC converter. Perturb and Observe method is applied in the MPPT algorithm to find the optimal modulation index for the inverter to transfer maximum power from the panel. Sine pulse width modulation technique is employed for controlling the switching pattern of the inverter. The algorithm is programmed for changing irradiation and temperature condition. The system does not oscillate about the MPP point as the algorithm set the system at MPP and does not vary till a variation in irradiation is sensed.  The proposed system can be installed at all places and will reduce the cost, size and losses compared to conventional system. 


Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6722
Author(s):  
Mehmet Ali Yildirim ◽  
Marzena Nowak-Ocłoń

Solar photovoltaic (PV) energy is one of the most viable renewable energy sources, considered less polluting than fossil energy. However, the average power conversion efficiency of PV systems is between 15% and 20%, and they must operate with high efficiency. Photovoltaic cells have non-linear voltage–current characteristics that are dependent on environmental factors such as solar irradiation and temperature, and have low efficiency. Therefore, it becomes crucial to harvest the maximum power from PV panels. This paper aims to study and analyze the most common and well-known maximum power point tracking (MPPT) algorithms, perturb and observe (P&O) and incremental conductance (IncCond). These algorithms were found to be easy to implement, low-cost techniques suitable for large- and medium-sized photovoltaic applications. The algorithms were tested and compared dynamically using MATLAB/Simulink software. In order to overcome the low performance of the P&O and IncCond methods under time-varying and fast-changing solar irradiation, several modifications are proposed. Results show an improvement in the tracking and overall system efficiencies and a shortened response time compared with original techniques. In addition, the proposed algorithms minimize the oscillations around the maximum power point (MPP), and the power converges faster.


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