Ananta, Fadil (2023) Pengujian Daya Maksimum Modul Fotovoltaik dengan Memanfaatkan Metode MPPT Menggunakan Algoritma Particle Swarm Optimization (PSO). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Menipisnya ketersediaan bahan bakar fosil membuat kesadaran masyarakat dunia akan energi baru terbarukan (EBT) sebagai sumber energi alternatif semakin meningkat. Dari sekian banyak energi terbarukan yang ada, energi surya merupakan energi dengan potensi terbesar. Hal ini membuat Indonesia sebagai negara yang dilewati oleh garis khatulistiwa sangatlah diuntungkan. Energi surya dapat dimanfaatkan dengan mengonversi energi foton menjadi energi listrik dalam bentuk DC menggunakan modul photovoltaic. Meski begitu, daya yang dihasilkan oleh modul photovoltaic seringkali kurang maksimal dikarenakan tidak berada dalam kondisi daya maksimum. Hal ini dikarenakan grafik daya keluaran modul photovoltaic tidaklah linear. Guna menjawab permasalahan ini maka digunakanlah metode Maximum Power Point Tracking (MPPT) agar daya keluaran tetap berada dalam kondisi maksimum. Untuk memadai metode tersebut, digunakanlah DC-DC buck converter untuk menurunkan tegangan open circuit keluaran dari modul photovoltaic hingga mencapai daya maksimum. Buck converter dirancang untuk menurunkan tegangan sesuai dengan duty cycle yang dikirm melalui mikrokontroler. Pada penelitian ini digunakanlah algoritma Particle Swarm Optimization (PSO) guna mencari duty cycle yang menghasilkan daya maksimum. Dari pengukuran yang telah dilakukan, algortima PSO mampu memberikan akurasi keberhasilan sebesar 96,7%. Selain itu, daya keluaran yang dihasilkan oleh DC-DC buck converter yang terhubungkan dengan beban lampu ini mampu memberikan daya keluaran dengan rentang 8,4 Watt hingga 49,55 Watt dari pukul 7 pagi hingga 4 sore. Adapun efisiensi daya yang dihasilkan buck converter untuk mtode MPPT sebesar 89,66%. Dari hasil pengukuran juga dapat diketahui bahwa buck converter mampu menghasilkan daya maksimum dari waktu ke waktu dengan intensitas iradiasi yang berubah-ubah.
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The depletion of fossil fuel resources has led to an increasing global awareness of renewable energy sources as alternative sources of energy. Among the various renewable energy options available, solar energy has the highest potential. This advantage is particularly beneficial for Indonesia, as it is a country located along the equator. Solar energy can be harnessed by converting photon energy into electrical energy in the form of DC using photovoltaic modules. However, the power generated by photovoltaic modules often falls short of its maximum capacity due to non-linear characteristics of their output power graph. To address this issue, the Maximum Power Point Tracking (MPPT) method is employed to ensure that the output power remains at its maximum level. In order to implement this method effectively, a DC-DC buck converter is used to lower the open circuit voltage output from the photovoltaic modules to reach the maximum power. The buck converter is designed to decrease the voltage according to the duty cycle sent through a microcontroller. In this study, the Particle Swarm Optimization (PSO) algorithm is used to find the duty cycle that results in the maximum power output. From the conducted measurements, the PSO algorithm has achieved a success accuracy of 96.7%. Furthermore, the power output generated by the DC-DC buck converter connected to the load (lamp) ranges from 8.4 Watts to 49.55 Watts between 7 am and 4 pm. The power efficiency of the buck converter for the MPPT method is measured to be 89.66%. The measurement results also indicate that the buck converter is capable of producing maximum power over time, even with varying irradiation intensity.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSF 621.042 Ana p-1 2023 |
| Uncontrolled Keywords: | DC-DC Buck Converter, Energi Baru Terbarukan (EBT), Maximum Power Point Tracking (MPPT), Particle Swarm Optimization (PSO), Photovoltaic, DC-DC Buck Converter, Maximum Power Point Tracking (MPPT), Particle Swarm Optimization (PSO), Photovoltaic, Renewable Energy (RE) |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ810.5 Solar energy T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar power plants. Ocean thermal power plants T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Ananta Fadil |
| Date Deposited: | 28 Jul 2023 07:59 |
| Last Modified: | 04 Dec 2023 08:47 |
| URI: | http://repository.its.ac.id/id/eprint/99727 |
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