Hasybi, Ahmad Nur (2022) Rancang Bangun Sistem Pengisian Baterai Berbasis Mppt Menggunakan Algoritma FIREFLY – FUZZY Controller Pada Hybrid PV – WIND Turbine Untuk Lampu Pju. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada penelitian ini dilakukan perancangan sistem pengisian baterai berbasis MPPT dengan kontrol fuzzy logic yang di optimisasi dengan algoritma firefly optimization pada Penerangan Jalan Umum bertenaga hybrid PV – Wind Turbine. Penelitian berfokus pada sumber dari PV dengan konverter tegangan yang digunakan adalah buck converter dengan tegangan masukan sebesar 14,89 V – 20 V dan output 14 V. Kontrol yang digunakan berupa Fuzzy Logic Controller (FLC) dan Firefly Fuzzy Controller (FFC). Kontrol fuzzy logic memiliki nilai maskimum overshoot sebesar 0,79 Watt (0,79%), settling time sebesar 0,1169 detik dan error steady state sebesar 0,0373%, Sedangkan untuk kontrol FFC memiliki nilai maksimum overshoot sebesar 0,34 Watt (0,34%), error steady state 0,0368% dan settling time sebesar 0,1163 detik. Hasil pengambilan data menunjukan bahwa kontrol FFC memiliki nilai performansi yang lebih baik dari metode FLC dengan effisiensi konverter berkisar 80,1% - 86,09% dan SOC sebesar 61%. Sedangkan untuk metode FLC memiliki nilai effisiensi konverter berkisar 75,26% - 78,89% dan SOC baterai pada kontrol Fuzzy sebesar dan 57%. Terjadi kenaikan nilai SOC baterai dalam mengintegrasikan sumber energi hybrid yaitu sistem PV berbasis MPPT menggunakan metode kontrol FFC dengan sistem SSVAWT sebesar 3% dari sistem energi tunggal PV berbasis MPPT.
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In this study, a battery charging system based on MPPT was designed with fuzzy logic control which was optimized with the firefly optimization algorithm on Public Street Lighting powered by hybrid PV – Wind Turbine. The research focuses on the source of PV with the voltage converter used is a buck converter with an input voltage of 14.89 V – 20 V and an output of 14 V. The controls used are Fuzzy Logic Controller (FLC) and Firefly Fuzzy Controller (FFC). Fuzzy logic control has a maximum overshoot value of 0,79 Watt (0,79%), settling time of 0.1169 seconds and steady state error of 0.0373%, while the FFC control has a maximum value of overshoot of 0,34 Watt (0,34%), steady state error of 0.0368% and settling time of 0.1163 seconds. The results of data collection show that the FFC control has a better performance value then FLC method with a converter efficiency around 80.1% - 86,09% and an SOC of 61%. Meanwhile, the FLC methode show that the efficiency of the converter around 75.26% - 78,8% and battery SOC is 57%. There is an increase in the value of the battery SOC in integrating the hybrid energy source, namely the MPPT-based PV system using the FFC control method with the SSVAWT system by 3% from the MPPT-based single energy PV system.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSF 621.312 42 Has r-1 2022 |
| Uncontrolled Keywords: | firefly fuzzy controller, fuzzy logic controller, sistem pengisian baterai, MPPT, SOC baterai. battery SOC, battery charging system, firefly fuzzy controller, fuzzy logic controller, MPPT. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 12 May 2026 02:24 |
| Last Modified: | 12 May 2026 02:24 |
| URI: | http://repository.its.ac.id/id/eprint/133147 |
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