Perancangan Sistem Hibrida Bergerak Surya/Bayu berbasis Fuzzy/GA untuk Pengisian Daya

Rahmawan, Cynthia Pramesti Regita (2025) Perancangan Sistem Hibrida Bergerak Surya/Bayu berbasis Fuzzy/GA untuk Pengisian Daya. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dirancang sebuah sistem pembangkit listrik tenaga hibrida dengan sumber daya surya dan bayu. Subsistem pembangkit listrik tenaga surya dirancang berbasis penjejak matahari diskrit dan dintegrasikan dengan subsistem pembangkit listrik tenaga bayu menjadi sebuah sistem hibrida, di mana masing-masing subsistem terhubung dengan konverter DC/DC buck-boost dan konverter DC/DC boost untuk pengisian daya baterai. Sistem dirancang untuk menerima variasi iradiansi PV, dari variasi penjejakan matahari diskrit yang diaplikasikan kepada PV. Penjejakan matahari diskrit menghasilkan energi netto yang berkisar antara 98% – 101% dari yang dicapai oleh penjejakan kontinu, atau 20% – 23% lebih tinggi daripada yang dicapai PV statis. Optimisasi kontroler fuzzy dengan algoritma genetik pada penjejak matahari yang dirancang menghasilkan wkatu respons yang lebih cepat 39.31% dibandingkan dengan kontroler fuzzy. Pada konverter, optimisasi kontroler fuzzy dengan algoritma genetik menghasilkan respons yang lebih responsive terhadap setpoint. Pada sistem hibrida yang dirancang, diaplikasikan kontroler fuzzy-GA pada sistem penjejak matahari dan konverter. Pengisian daya hibrida dengan kontroler fuzzy-GA untuk seluruh variasi penjejakan matahari yang diterapkan pada sistem mencapai keterisian penuh dalam waktu yang sama.
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A hybrid power generation system with solar and wind power sources has been designed. The solar power generation subsystem is designed based on a discrete sun tracker and integrated with the wind power generation subsystem into a hybrid system, in which each subsystem is connected to a buck-boost DC/DC converter and a boost DC/DC converter for battery charging. The system is designed to accommodate variations in PV irradiance, which are applied to the PV through the discrete sun tracker. The discrete sun tracker generates net energy ranging from 98% to 101% of that achieved by continuous tracking, or 20% to 23% higher than that achieved by static PV. Optimization of the fuzzy controller with a genetic algorithm on the designed sun tracker results in a 39.31% faster response time compared to the fuzzy controller. In the converter, optimization of the fuzzy controller with genetic algorithm results in a more responsive response to the setpoint. In the designed hybrid system, a fuzzy-GA controller is applied to the sun tracking system and converter. Hybrid charging with a fuzzy-GA controller for all variations of sun tracking applied to the system achieves full charging in the same amount of time.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Algoritma genetik, kontroler logika fuzzy, konversi energi bayu, konversi energi surya, penjejak matahari, sistem pengisian daya
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2943 Battery chargers.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30101-(S2) Master Thesis
Depositing User:	Cynthia Pramesti Regita Rahmawan
Date Deposited:	05 Aug 2025 10:59
Last Modified:	05 Aug 2025 10:59
URI:	http://repository.its.ac.id/id/eprint/127433

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