Rancang Bangun Stand Alone Pv Charging System Berbasis Solar Tracker Menggunakan Kontrol Fuzzy Modified Particle Swarm Optimization (Mpso)

Bachrowi, Mohammad Musa (2018) Rancang Bangun Stand Alone Pv Charging System Berbasis Solar Tracker Menggunakan Kontrol Fuzzy Modified Particle Swarm Optimization (Mpso). POMITS (1). (Unpublished)

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Abstract

Membangun suatu pembangkit listrik tenaga surya memerlukan investasi awal yang cukup mahal. Sehingga perlu dirancang komponen pembangkit listik tenaga surya yang mampu meningkatkan performansi panel surya. Salah satu cara untuk meningkatkan performansi panel surya menggunakan solar tracker. Penggunaan solar tracker juga membutuhkan konsumsi energi tambahan untuk mengarahkan panel surya tegak lurus matahari. Sehingga digunakan baterai sebagai suplai energi tambahan tersebut. Energi yang dihasilkan Panel surya dapat disimpan di baterai dengan menggunakan bantuan solar charge controller. Solar charge controller yang handal, optimal, efisien dan ekonomis akan meningkatkan performansi penyimpanan energi panel surya. Pada penelitian ini konverter DC-DC digunakan adalah tipe Single Ended Primary Inductance Converter (SEPIC). Kontrol tegangan pengisisan baterai menggunakan Fuzzy-LDWPSO. Diketahui dari simulasi konrol Fuzzy LDWPSO meningkatkan nilai RiseTime 0.0021 detik, SettlingTime 0.0135 detik PeakTime 0.0056 detik, eror steady state 3 % dan merunkan Maximum Overshoot 27,5%. Pengujian pada hardware dan simulasi dilakukan untuk mengetahui pengaruh duty cycle dan frekuensi pensaklaran pada konverter SEPIC. Semakin besar nilai duty cycle semakin besar tegangan output yang dihasilkan konverter. Nilai suhu dan irradiasi juga berpengaruh terhadap tegangan input dan arus input yang masuk pada konverter. Kenaikan arus pengisian pada PV kondisi fix meningkat 36,15% selama 8,5 jam. Kata kunci : Solar Tracker, Konverter SEPIC, Linear Decreasing Weight Particle Swarm Optimization, duty cycle. =========================================================== Building a solar power plant requires an expensive initial investment. It is necessary to design solar pan power generating components that can improve the performance of solar panels. One of the ways to improve the performance of solar panels using solar tracker. Solar trackers also requires the consumption of additional energy to direct solar panels perpendicular to the sun. So use the battery as an additional energy supply. The energy produced Solar panels can be stored in batteries by using the help of solar charge controller. Solar charge controller that is reliable, optimal, efficient and economical will improve the energy storage performance of solar panels. In this study DC-DC converter used is Single Ended Primary Inductance Converter (SEPIC) type. Battery charge voltage control using Fuzzy-LDWPSO. Known from Fuzzy LDWPSO control simulation increases RiseTime value 0.0021 seconds, SettlingTime 0.0135 seconds PeakTime 0.0056 sec, steady state errors 3% and Maximum Overshoot 27.5%. Tests on hardware and simulations are performed to determine the effect of duty cycle and switching frequency on SEPIC converters. The greater the duty cycle value the greater the output voltage generated by the converter. Temperature and irradiation values also affect the input voltage and input current in the converter. The increase of charging current in PV fix condition increased 36.15% for 8.5 hours. Keywords: Solar Tracker, SEPIC Converter, Linear Decreasing Weight Particle Swarm Optimization, duty cycle.

Item Type: Article
Subjects: Q Science > QC Physics > QC610.3 Electric conductivity
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Mohammad Musa Bachrowi
Date Deposited: 01 Jul 2021 07:39
Last Modified: 01 Jul 2021 07:39
URI: https://repository.its.ac.id/id/eprint/56652

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