Implementasi Sistem Maximum Power Point Tracking Berbasis Optimisasi Fuzzy Ant Colony Pada Mobile Photovoltaic Sebagai Suplai Energi Kendaraan Listrik

Pamungkas, Andiawan Mahendra (2021) Implementasi Sistem Maximum Power Point Tracking Berbasis Optimisasi Fuzzy Ant Colony Pada Mobile Photovoltaic Sebagai Suplai Energi Kendaraan Listrik. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Maximum Power Point Tracking (MPPT) teknik yang memungkinkan energi maksimum yang tersedia ditransfer dari photovoltaic. Daya keluaran sel PV juga bervariasi sesuai dengan bebannya, meskipun intensitas cahaya dan suhu lingkungan konstan. Sehingga dibutuhkan sebuah sistem yang disebut pelacakan titik daya maksimum, yaitu prinsip MPPT. Tujuan dari penelitian ini adalah untuk menentukan parameter rancangan MPPT pada Mobile PV sekaligus menganalisa performansi sistem MPPT yang diimplementasikan pada Mobile PV. Penelitian ini menerapkan kontrol ACO-Fuzzy pada sistem MPPT. Hasil dari penelitian ini menunjukkan bahwa MPPT ACO-Fuzzy yang telah dirancang memiliki efisiensi lebih baik dalam memaksimalkan keluaran daya yang dapat dihasilkan PV dibandingkan dengan MPPT Fuzzy. Pada MPPT ACO-Fuzzy menghasilkan efisiensi daya keluaran rata-rata PV sebesar 68% dibandingkan dengan MPPT Fuzzy yang menghasilkan efisiensi daya keluaran rata-rata PV sebesar 66%. MPPT ACO-Fuzzy juga menghasilkan keluaran daya konverter 2,4% lebih baik daripada MPPT Fuzzy.
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Maximum Power Point Tracking (MPPT) technique that allows the maximum available energy to be transferred from photovoltaic. The output power of a PV cell also varies according to the load, even though the lighting intensity and ambient temperature are constant. Therefore, to improve the overall conversion efficiency of the photovoltaic power generation system, the installed external load must be changed immediately. This process is called maximum power point tracking, which is the MPPT principle. The purpose of this study is to determine the MPPT design parameters on Mobile PV as well as analyze the performance of the MPPT system implemented on Mobile PV. This research applies ACO-Fuzzy control on MPPT system. The results of this study indicate that the ACO-Fuzzy MPPT that has been designed has better efficiency in maximizing the power output that can be generated by PV compared to the Fuzzy MPPT. MPPT ACO-Fuzzy produces an average PV power efficiency of 68% compared to MPPT Fuzzy which produces an average PV power efficiency of 66%. MPPT ACO-Fuzzy also produces a converter power output of 2.4% better than MPPT Fuzzy.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	ACO-Fuzzy, Fuzzy, Kontrol, MPPT, Photovoltaic
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ165 Energy storage. 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 > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Andiawan Mahendra P
Date Deposited:	09 Sep 2021 03:44
Last Modified:	09 Sep 2021 03:44
URI:	http://repository.its.ac.id/id/eprint/91881

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