Desain dan Analisis Charging Station dengan Sumber Hybrid PV, Wind Turbine, Fuel Cell, dan Grid PLN untuk Kendaraan Bus Listrik

Puspita, Della Manda (2023) Desain dan Analisis Charging Station dengan Sumber Hybrid PV, Wind Turbine, Fuel Cell, dan Grid PLN untuk Kendaraan Bus Listrik. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Semakin meningkatnya jumlah penduduk, kebutuhan transportasi juga semakin meningkat seiring waktu, hal tersebut menyebabkan semakin padat kendaraan pada jalan raya , sehingga emisi gas karbon semakin meningkat jumlahnya dan susah untuk dicegah. Adanya emisi gas karbon menyebabkan perubahan iklim yang tidak menentu. Upaya dalam mengatasi emisi gas karbon dapat berupa sebuah inovasi yang dapat membantu pemerintah dalam mencapai SDGs nomor 7 yaitu energi bersih dan terjangkau. Salah satu inovasi yang dapat membantu permasalahan tersebut yaitu dengan transportasi umum yang dapat menampung banyak manusia, salah satunya kendaraan bus listrik. Penelitian tugas akhir ini diharapkan dapat membantu inovasi dengan mendesain dan mensimulasikan charging station untuk kendaraan bus listrik dengan sistem hybrid PV, Wind Turbine, Fuel Cell dengan tambahan suplai dari Grid PLN agar menjaga kestabilan daya saat beroperasi. Kinerja sistem akan didesain dan diuji dengan menggunakan software MATLAB khususnya Simulink. Pada penelitian ini akan mempelajari mengenai desain dan analisis charging station hybrid dengan sumber EBT dan Grid PLN yang nantinya akan dikontrol dengan MPPT dengan algoritma fuzzy logic controller. Metode perbandingan yang digunakan yaitu MPPT dengan algotitma perturb and observe. Hasil dari penelitian ini didapatkan bahwa charging station dengan MPPT algoritma fuzzy logic controller mendapatkan hasil yang lebih akurat dibandingkan dengan MPPT algoritma perturb and observe
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As the population continues to grow, the demand for transportation also increases over time. This leads to more congested roads, resulting in a higher number of carbon gas emissions that are difficult to control. The presence of carbon gas emissions contributes to unpredictable climate change. Efforts to address carbon gas emissions can come in the form of innovation that aids the government in achieving SDG number 7, which focuses on clean and affordable energy. One innovation that can help tackle this issue is the implementation of public transportation capable of accommodating a large number of people, such as electric buses.This final research project aims to contribute to this innovation by designing and simulating charging stations for electric buses using a hybrid PV system, Wind Turbine, Fuel Cell, and additional power supply from the Grid PLN to maintain stability during operation. The system's performance will be designed and tested using MATLAB software, specifically Simulink. The research will primarily focus on studying the design and analysis of hybrid charging stations that use EBT sources and Grid PLN, controlled by MPPT with a fuzzy logic controller algorithm. The comparative method used in this study involves evaluating the performance of the proposed MPPT fuzzy logic controller algorithm against the traditional MPPT perturb and observe algorithm. The results of this research indicate that the charging station with the MPPT fuzzy logic controller algorithm yields more accurate results compared to the MPPT perturb and observe algorithm.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	PV, Wind Turbine, Fuel Cell, Charging station, MPPT, PV, Wind Turbine, Fuel Cell, Charging station, MPPT
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2692 Inverters T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2931 Fuel cells T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Della Manda Puspita
Date Deposited:	27 Jul 2023 07:05
Last Modified:	27 Jul 2023 07:05
URI:	http://repository.its.ac.id/id/eprint/99506

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