Perancangan Hybrid MPPT Turbin Angin – Solar Tracker PV Menggunakan Kontrol PSO Based Fuzzy Type-2

Maknunah, Jauhrotul (2019) Perancangan Hybrid MPPT Turbin Angin – Solar Tracker PV Menggunakan Kontrol PSO Based Fuzzy Type-2. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Ketersediaan sumber energi angin dapat melengkapi kekurangan dari energi matahari pada saat cuaca mendung dan malam hari. Sedangkan sumber energi angin yang mampu diekstrak oleh turbin angin, tidak semaksimal sumber energi matahari, sehingga kedua sumber energi tersebut akan saling melengkapi apabila dilakukan metode hybrid untuk memenuhi kebutuhan beban listrik yang berkelanjutan. Salah satu cara memaksimalkan dan menstabilkan daya keluaran sistem konversi sumber daya angin maupun sumber energi surya yang fluktuatif, adalah dengan memberikan sistem kontrol pada sistem turbin angin dan juga Photovoltaic (PV). Metode optimalisasi daya yang sesuai untuk sistem turbin angin maupun PV, dapat diwujudkan melalui mekanisme MPPT (Maximum power point tracking) pada keluaran listriknya. Selain itu, pada PV dapat dimaksimalkan lagi melalui kontrol solar tracker. MPPT dapat diimplementasikan melalui rangkaian Buck-Boost Converter sebagai aktuator dengan masukan berupa sinyal PWM dan keluaran berupa tegangan dan arus listrik kontroler yang digunakan untuk sistem MPPT turbin angin menggunakan logika fuzzy dengan melakukan tunning membership function-nya menggunakan algoritma PSO (Particle Swarm Optimization). Sedangkan solar tracker pada PV berupa passive solar tracker dengan motor dc sebagai aktuator untuk menggerakkan PV mengikuti sudut pergerakan matahari. Metode kontrol yang digunakan untuk algoritma MPPT dan solar tracker dapat berupa logika fuzzy. Keluaran dari solar tracker selanjutnya diberikan MPPT menggunakan kontrol PSO based fuzzy type-2. Daya keluaran dari sistem turbin angin dengan sistem MPPT Fuzzy mampu menunjukkan kenaikan daya 22% pada kecepatan angin 6 m/s, akan tetapi menghasilkan ripple daya sebesar + 1,2 watt. Mekanisme kontrol fuzzy-PSO mampu mengurangi ripple sebelumnya sehingga menjadi + 0,6 watt, tanpa menurunkan daya. Pada sub-sistem Photovoltaic, daya yang dihasilkan oleh sistem solar tracker mampu meningkat sebesar 3.25% dan energinya meningkat sebesar 14.76% jika dibandingkan dengan sistem PV-fixed. Daya hasil keluaran dari solar tracker tersebut mampu ditingkatkan lagi menggunakan MPPT PSO based Fuzzy type-2, sehingga daya keluaran sistem mampu meningkat mencapai 759 watt dari sebelumnya 249 watt. Sistem penggabungan daya dari kedua sistem (MPPT turbin angin dan solar tracker) mampu menaikkan daya mencapai 1.287 Watt dan kenaikan energinya mencapai 2.76 kWh.
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The availability of wind energy sources can complement the lack of solar energy during cloudy weather and at night. Whereas wind energy sources that can be extracted by wind turbines, are not as maximal as solar energy sources, so that these two energy sources will complement each other if a hybrid method is used to meet the needs of a sustainable electric load. One way to maximize and stabilize the output power of fluctuating wind resource and solar energy conversion systems is to provide a control system for wind turbines and Photovoltaic (PV) systems. The power optimization method that is suitable for wind and PV turbine systems, can be realized through the MPPT mechanism (Maximum power point tracking) at the electricity output. In addition, PV can be maximized through the solar tracker control. MPPT can be implemented through a series of Buck-Boost Converter as an actuator with input in the form of PWM signals and outputs in the form of voltage and current controllers used for wind turbine MPPT systems using fuzzy logic by tuning its membership function using the PSO algorithm (Particle Swarm Optimization). While the solar tracker on PV is a passive solar tracker with a dc motor as an actuator to move PV following the angle of the sun's movement. The control method used for the MPPT algorithm and solar tracker can be fuzzy logic. The output from the solar tracker is then given MPPT using the PSO based fuzzy type-2 control. The output power of the wind turbine system with the MPPT Fuzzy system is able to show a power increase of 22% at a wind speed of 6 m / s, but produces a power ripple of + 1.2 watts. The fuzzy-PSO control mechanism can reduce the ripple as much as possible to + 0.6 watts, without reducing power. In the Photovoltaic system the power generated by the solar tracker system can increase by 3.25% and its energy increases by 14.76% when compared to the fixed PV system. The power output from the solar tracker can be increased again using MPPT PSO based Fuzzy type-2, so that the system's output power can increase to 759 watts from the previous 249 watts. The system of combining power from both systems (MPPT wind turbines and solar tracker) was able to increase power to 1,287 Watts and the increase in energy reached 2.76 kWh.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	MPPT, Turbin angin, Photovoltaic, solar tracker, Fuzzy type II, PSO
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ820 Wind power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
Divisions:	Faculty of Industrial Technology > Physics Engineering > 30101-(S2) Master Thesis
Depositing User:	Maknunah Jauharotul
Date Deposited:	21 Jul 2026 02:29
Last Modified:	21 Jul 2026 04:13
URI:	http://repository.its.ac.id/id/eprint/69784

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