scholarly journals Enhancement of Solar Cell Modeling with MPPT Command Practice with an Electronic Edge Filter

2021 ◽  
Vol 11 (4) ◽  
pp. 7501-7507
Author(s):  
S. Saad
Keyword(s):  
Solar Cell ◽  
Photovoltaic Cell ◽  
Calculation Algorithm ◽  
Maximum Power Point ◽  
Maximum Power Point Tracker ◽  
Edge Filter ◽  
Cell Modeling ◽  
Simulation Results ◽  
Power Point ◽  
Electronically Tunable

A new photovoltaic cell modeling based on an electronically tunable edge filter is presented in this paper. The new model is subjected to temperature, illumination, and resistance variations. In addition, an MPPT (Maximum Power Point Tracker) command was exposed with a calculation algorithm based on a microcontroller card that used the behavior of an electronically tunable edge filter. The results confirm those published in the literature, showing the influence of the position of the leakage variation in our model, which can give more power. The simulation results show that the proposed command is efficient to determine the MPP point.

scholarly journals PERANCANGAN SOLAR TRACKER PHOTOVOLTAIC CELLS DENGAN METODE FUZZY LOGIC

2020 ◽  
Vol 2 (2) ◽  
pp. 134-139
Author(s):  
Ana Nuril Achadiyah ◽  
Mokhamad Suseno Aji Sari
Keyword(s):  
Fuzzy Logic ◽  
Solar Cell ◽  
Photovoltaic Cells ◽  
Photovoltaic Cell ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Maximum Power Point Tracker ◽  
Solar Tracker ◽  
Power Point

Energi matahari merupakan energi terbarukan yang dapat dimanfaatkan untuk menghasilkan energi listrik. Sedangkan yang dapat mengkonversi energi cahaya matahari menjadi energi listrik adalah photovoltaic cell. Akan tetapi dalam proses pengkonversian energi cahaya ini ada kendala yang dipengaruhi beberapa faktor sehingga mengurangi optimalisasi sistem kerja photovoltaic cell. Salah satu faktor utama yang mempengaruhi optimalisasi sistem photovoltaic adalah radiasi sinar matahari yang berubah–ubah sehingga tidak maksimalnya sinar cahaya yang didapat. Dengan melihat permasalahan tersebut maka diperlukan alat penjejak matahari agar solar cell selalu tegak lurus menghadap matahari. Sistem ini menggunakan sensor cahaya (LDR) dan keluaran berupa arus DC. Dengan aturan yang disesuaikan dengan kondisi, maka motor DC akan menggerakkan solar cell supaya bergerak mengikuti posisi matahari secara otmatis. Paper ini menyajikan analisa dan desain untuk penjejak Maximum Power Point Tracker (MPPT) dengan menggunakan Metode Fuzzy Logic (MFL). Dalam penghitungan pengendali penjejak orientasi matahari ini digunakan sistem Metode Fuzzy Logic (MFL) karena metode ini merupakan kontrol pada proses tahapan himpunan, proses fuzzyfikasi, aturan fuzzy, dan proses defuzzyfikasi dan karena metode ini sangat cocok untuk pengembangan produk selanjutnya. Penelitian ini menggunakan ATMega8 yang mudah dipasang pada penggunaan solar cell mandiri maupun yang berskala besar.

scholarly journals Penggunaan Algoritma Incremental Conductance pada MPPT dengan Buck Converter untuk Pengujian Indoor dan Outdoor

2018 ◽  
Vol 6 (1) ◽  
pp. 97
Author(s):  
SRI UTAMI ◽  
SITI SAODAH ◽  
APIP PUDIN
Keyword(s):  
Solar Cell ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Buck Converter ◽  
Artificial Light ◽  
Maximum Power Point ◽  
Irradiation System ◽  
Maximum Power Point Tracker ◽  
Incremental Conductance ◽  
Power Point

ABSTRAKPanel surya menghasilkan energi sesuai dengan kondisi cuaca yang diterimanya. Untuk menaikkan energi yang dihasilkan sel surya sesuai dengan kondisi optimalnya digunakanlah Maximum Power Point Tracker (MPPT) yang dapat menggunakan algoritma berbeda. Penelitian ini menggunakan algoritma Incremental Conductance (keluarga Hill Climbing) yang dibangun pada sistem dengan menggunakan Arduino Uno R3. Mikrokontroller mengkondisikan DC-DC buck converter untuk mengekstraksi daya keluaran sel surya serta menyesuaikannya untuk penyimpanan. MPPT meregulasi pulse width modulation (PWM) untuk mengatur sinyal pada konverter hingga kondisi : dI/dV + I/V = 0 terpenuhi. Sistem yang dibangun dapat dilihat performansinya di dalam ruangan (menggunakan artificial light) maupun di luar ruangan (menggunakan iradiasi matahari). Validasi sistem menggunakan metode ini pada MPPT-nya memberikan performansi yang lebih baik. Sistem konvensional menghasilkan daya 0.60W dengan irradisai 432 W/m2 dan beban 10 Ω. Dengan beban yang sama sistem MPPT menggunakan algoritma yang diusulkan memberikan daya keluaran sebesar 17.61W dengan iradiasi yang samaKata kunci: sel surya, MPPT, incremental conductance ABSTRACTPhotovoltaic generates energy according to the received weather condition. To increase the energy produced by solar cell corresponding with optimum condition, system used Maximum Power Point Tracker (MPPT) that can use several different algorithms. This research proposed Incremental Conductance built on the system using Arduino Uno R3. The controller determined DC-DC buck converter condition to extract solar cell output and adjust for storage purposes . MPPT regulated pulse width modulation (PWM) to determine signal in DC-DC converter until condition:dI/dV+I/V=0 is fulfilled. Performances of the system can be seen in indoor (using artificial light) or outdoor (using solar irradiation). System validation using proposed method provided better performance. The conventional system produced 0.60W with 432 W/m2 irradiation and 10 Ω load. Using same load and irradiation, system with Incremental Conductance provided output 17.61WKeywords: solar cell, MPPT, incremental conductance

PV-Electrolyzer Plant: Models and Optimization Procedure

2009 ◽  
Author(s):  
Paola Artuso ◽  
Fabrizio Zuccari ◽  
Alessandro Dell’Era ◽  
Fabio Orecchini
Keyword(s):  
Electronic Devices ◽  
Optimization Procedure ◽  
Point Of View ◽  
Maximum Power ◽  
Energy Losses ◽  
Maximum Power Point ◽  
Economic Point ◽  
Maximum Power Point Tracker ◽  
Simulation Results ◽  
Power Point

The work focused on the analysis of the connection between a photovoltaic (PV) plant and an electrolyzer for hydrogen production. On the basis of PV plant and electrolyzer experimental data, the effectiveness of the models adopted in the simulation program has been verified in order to choose the best model and, eventually, modify some parameters. By running the simulations, the procedure to optimize the PV plant and the electrolyzer combination has been established. In fact, the simulation results might be considered to size an electrolyzer as small as possible, which is able to exploit up to the maximum power actually produced by the PV plant during a working year. This criterion allows minimizing the overall plant costs. Furthermore, the possibility of deleting the Maximum Power Point Tracker (MPPT) and the DC/DC converter has been analyzed. On the basis of the obtained results, this opportunity is preferable to avoid the energy losses in the power control system; and it is convenient even from an economic point of view, considering that the electronic devices costs are comparable with the PV plant ones.

scholarly journals Overall Description of Wind Power

2014 ◽  
Vol 10 (19) ◽  
pp. 99-126 ◽  
Author(s):  
Luz Trejos–Grisales ◽  
Cristian Guarnizo–Lemus ◽  
Sergio Serna
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Simulation Models ◽  
Maximum Power ◽  
Maximum Power Point ◽  
General Overview ◽  
Maximum Power Point Tracker ◽  
Simulation Results ◽  
Wind Power Systems ◽  
Power Point

This paper presents a general overview of the main characteristics of the wind power systems, also considerations about the simulation models andthe most used Maximum Power Point Tracker (MPPT) techniques are made. Some simulation results are shown and conclusions about the workare given.

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