Design And Development Of A Voltage Control System For Wind Turbines Based On A Buck-Boost Converter Using The Anfis Algorithm

Alfarizi, Nuris Fajril Rubi (2025) Design And Development Of A Voltage Control System For Wind Turbines Based On A Buck-Boost Converter Using The Anfis Algorithm. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini membahas perancangan dan implementasi Vertical Axis Wind Turbine (VAWT) berbasis Adaptive Neuro-Fuzzy Inference System (ANFIS) yang dikombinasikan dengan buck-boost converter untuk mengoptimalkan pemanfaatan energi angin. Analisis dilakukan pada turbin angin Savonius untuk memastikan konversi energi kinetik angin berjalan optimal. Hasil pengujian menunjukkan bahwa ANFIS mampu menjaga tegangan keluaran converter tetap stabil meskipun kecepatan angin bervariasi. Parameter kontrol ANFIS pada buck-boost converter berhasil dirancang dan diimplementasikan dengan baik. Dalam mode buck dan boost, sistem menunjukkan respon cepat terhadap perubahan tegangan input dan mencapai stabilitas dalam waktu singkat, dengan error steady-state sebesar 3,76% pada mode buck dan 1,13% pada mode boost. Buck-boost converter menunjukkan efisiensi tinggi dalam pengisian baterai. Selama 19 jam pengujian, sistem mencapai efisiensi 96,27%, dengan energi input 0,228 kWh dan output 0,22 kWh. Sistem juga berhasil menjaga tegangan output pada 12V meskipun tegangan input berfluktuasi. Secara keseluruhan, implementasi ANFIS dalam sistem VAWT dengan buck-boost converter terbukti efektif dalam menghasilkan daya yang stabil dan efisien selama proses pengisian baterai, meskipun kondisi kecepatan angin berubah-ubah.
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This research discusses the design and implementation of Vertical Axis Wind Turbine (VAWT) based on Adaptive Neuro-Fuzzy Inference System (ANFIS) combined with buck-boost converter to optimize wind energy utilization. The analysis is conducted on a Savonius wind turbine to ensure the conversion of wind kinetic energy is optimized. The test results show that ANFIS can keep the converter output voltage stable even though the wind speed varies. The ANFIS control parameters on the buck-boost converter were successfully designed and well implemented. In buck and boost modes, the system shows a fast response to changes in input voltage and achieves stability in a short time, with a steady-state error of 3.76% in buck mode and 1.13% in boost mode. In addition, the buck-boost converter showed high efficiency in battery charging. During the 19-hour test, the system achieved an efficiency of 96.27%, with an input energy of 0.22867595 kWh and an output of 0.220141045 kWh. The system also managed to maintain the output voltage at 12V despite fluctuating input voltage. Overall, the implementation of ANFIS in the VAWT system with buck-boost converter proved effective in generating stable and efficient power of 220 Wh in tests without using a blower and 288 Wh in tests using a blower during the battery charging process, despite the changing wind speed conditions.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	ANFIS, Buck-Boost Converter, Battery Charging, Energy Efficiency, VAWT
Subjects:	Q Science > QA Mathematics > QA9.58 Algorithms Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ828 Wind turbines
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Nuris Fajril Rubi Alfarizi
Date Deposited:	05 Aug 2025 08:35
Last Modified:	05 Aug 2025 08:35
URI:	http://repository.its.ac.id/id/eprint/127432

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