Agung, Arrifqi (2023) Rancang Bangun Solar Charging System Pada Baterai Bersumber Hybrid PV – Wind Turbine Berbasis Modified Firefly Algorithm – Fuzzy Logic Controller Untuk Lampu PJU. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada penelitian ini dilakukan perancangan solar charging system dengan menggunakan kontrol Fuzzy Logic yang kemudian di Optimisasi dengan menggunakan algoritma Modified Firefly pada Baterai bersumber hybrid PV – Wind Turbine untuk Lampu Penerangan Jalan Umum. PV yang digunakan yaitu berbasis solar tracker, dengan spesifikasi PV sebesar 200 Wp. Konverter yang digunakan dalam perancangan solar charging system ini yaitu buck converter dengan tegangan masukan sebesar 16.55 Volt – 21.5 Volt dan output 14 Volt. Kontrol yang digunakan berupa fuzzy logic controller (FLC) dan modified firefly fuzzy controller (MFFC). Kontrol dengan menggunakan Fuzzy Logic memiliki nilai error steady state sebesar 2,14%, maksimum overshoot sebesar 36.301%, dan settling time 18.424 ms. Sedangkan untuk kontrol yang menggunakan Modified Firefly Algorithm – Fuzzy Logic Controller (MFA – FLC) memiliki nilai maksimum overshoot sebesar 32.667%, settling time 14.424 ms, dan error steady state 1,47%. Efisiensi solar charging system yang menggunakan daya keluaran panel surya dengan menggunakan sistem kendali Fuzzy Logic Controller (FLC) memiliki efisiensi total sebesar 83.83%. Sedangkan efisiensi solar charging system yang menggunakan daya keluaran panel surya dengan menggunakan sistem kendali Modified Firefly Algorithm – Fuzzy Logic Controller (MFA – FLC) memiliki efisiensi sebesar 87.19%.
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In this research, the design of a solar charging system using Fuzzy Logic control and optimized using the Modified Firefly algorithm was carried out for a hybrid PV-Wind Turbine battery system for Street Lighting. The PV system used is based on a solar tracker with a specification of 200 Wp. The converter employed in the solar charging system design is a buck converter with an input voltage ranging from 16.55 volts to 21.5 volts and an output of 14 volts. The control methods utilized are the Fuzzy Logic Controller (FLC) and the Modified Firefly Fuzzy Controller (MFFC). The Fuzzy Logic control achieved a steady-state error of 2.14%, a maximum overshoot of 36.301%, and a settling time of 18.424 ms. On the other hand, the Modified Firefly Algorithm - Fuzzy Logic Controller (MFA - FLC) demonstrated a maximum overshoot of 32.667%, a settling time of 14.424 ms, and a steady-state error of 1.47%. The solar charging system efficiency using Fuzzy Logic Controller (FLC) with the solar panel output achieved a total efficiency of 83.83%. Meanwhile, the solar charging system efficiency using Modified Firefly Algorithm - Fuzzy Logic Controller (MFA - FLC) achieved an efficiency of 87.19%.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Buck Converter , Fuzzy Logic Controller, Modified Firefly Algorithm, Solar Charging System Buck Converter, Fuzzy Logic Controller, Modified Firefly Algorithm, Solar Charging System. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2945 Lead-acid batteries. 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: | Arrifqi Agung Permana |
| Date Deposited: | 29 Jul 2023 07:58 |
| Last Modified: | 29 Jul 2023 07:58 |
| URI: | http://repository.its.ac.id/id/eprint/99698 |
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