Rancang Bangun Sistem Pengisian Baterai Berbasis MPPT Menggunakan GWO T2-FLC pada Hybrid Photovoltaic Single Axis Passive Solar Tracker-Wind Turbine Untuk Autofeeder System

Syarifuddin, Muhammad (2025) Rancang Bangun Sistem Pengisian Baterai Berbasis MPPT Menggunakan GWO T2-FLC pada Hybrid Photovoltaic Single Axis Passive Solar Tracker-Wind Turbine Untuk Autofeeder System. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini dilakukan dengan merancang solar charging system menggunakan kontrol
Type 2 Fuzzy Logic yang kemudian dioptimisasi menggunakan algoritma Grey Wolf
Optimization pada baterai bersumber hybrid photovoltaic – wind turbine untuk autofeeder
system. Photovoltaic yang digunakan adalah photovoltaic berjenis monocristalline sebesar 200
wp. Converter yang digunakan dalam perancangan solar charging system adalah buck
converter dengan tegangan input sebesar 15,06 volt – 20,71 volt dan tegangan output sebagai
tegangan setpoint pengisian baterai 15 volt. Kontrol yang digunakan adalah Type 2 Fuzzy Logic
Controller (T2-FLC) dan Grey Wolf Optimization Type 2 Fuzzy Logic Controller (GWO T2
FLC) yang diterapkan pada buck converter. Kontrol type 2 fuzzy logic controller menghasilkan
nilai error steady state sebesar 0,42%, maksimum overshoot sebesar 20,7%, dan settling time
3,7 sekon. Sedangkan untuk kontrol yang menggunakan grey wolf optimization type 2 fuzzy
logic controller (GWO T2-FLC) yang dioptimisasi menggunakan parameter alpha 0,23, beta
0,41, dan delta 0,97 memiliki respon maksimum overshoot sebesar 0,27%, settling time 1,9
sekon, dan error steady state 0,28%. Efisiensi solar charging system yang menggunakan sistem
kontrol Type 2 Fuzzy Logic Controller (T2-FLC) memiliki efisiensi sebesar 76,25% dengan
kenaikan SOC baterai sebesar 36%. Sedangkan efisiensi solar charging system yang
menggunakan sistem kontrol Grey Wolf Optimization Type 2 Fuzzy Logic Controller (GWO
T2-FLC) memiliki efisiensi sebesar 80,12% dengan kenaikan SOC baterai 36,4%. Dari tenaga
hybrid photovoltaic-wind turbine efisiensi charging system sebesar 89% lebih besar daripada
sumber energi photovoltaic dengan algoritma T2-FLC dan GWO T2-FLC dengan kenaikan
SOC baterai sebesar 45%.
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This research was conducted by designing a solar charging system using Type 2 Fuzzy
Logic control which was then optimized using the Grey Wolf Optimization algorithm on a
hybrid Photovoltaic – Wind Turbine sourced battery for the autofeeder system. The
photovoltaic used is a monocrystalline photovoltaic of 200 wp. The converter used in the design
of the solar charging system is a buck converter with an input voltage of 15.06 volts – 20.71
volts and an output voltage as a battery charging setpoint voltage of 15 volts. The controls used
are Type 2 Fuzzy Logic Controller (T2-FLC) and Grey Wolf optimization Type 2 Fuzzy Logic
Controller (GWO T2-FLC) applied to the buck converter. The type 2 fuzzy logic controller
produces a steady state error value of 0.42%, a maximum overshoot of 20.7%, and a settling
time of 3.7 seconds. Meanwhile, for the control using grey wolf optimization type 2 fuzzy logic
controller (GWO T2-FLC) which is optimized using alpha parameters 0.23, beta 0.41, and delta
0.97 has a maximum overshoot response of 0.27%, settling time 1.9 seconds, and steady state
error 0.28%. The efficiency of the solar charging system using the type 2 fuzzy logic controller
(T2-FLC) control system has an efficiency of 76.25% with an increase in battery SOC of 36%.
While the efficiency of the solar charging system using the grey wolf optimization type 2 fuzzy
logic controller (GWO T2-FLC) control system has an efficiency of 80.12% with an increase
in battery SOC of 36.4%. From the Photovoltaic-Wind Turbine hybrid power, the charging
system efficiency is 89% greater than the photovoltaic energy source with the T2-FLC and
GWO T2-FLC algorithms with an increase in battery SOC of 45%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Buck Converter, Type 2 Fuzzy Logic Controller, Grey Wolf Optimization, SOC Baterai, Solar Charging System.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ808 Renewable energy sources. Energy harvesting. T Technology > TJ Mechanical engineering and machinery > TJ810.5 Solar energy T Technology > TJ Mechanical engineering and machinery > TJ828 Wind turbines T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2943 Battery chargers. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2945 Lead-acid batteries.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Syarifuddin
Date Deposited:	04 Aug 2025 03:37
Last Modified:	04 Aug 2025 03:37
URI:	http://repository.its.ac.id/id/eprint/126043

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