Desain Dan Implementasi MPPT Berbasis Fuzzy Logic Controller Untuk Suplai Inverter Yang Terhubung Pompa Air

Saputra, Kurniawan Dwi (2020) Desain Dan Implementasi MPPT Berbasis Fuzzy Logic Controller Untuk Suplai Inverter Yang Terhubung Pompa Air. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada masa kini penerapan sumber energi terbaharukan seperti Photovoltaic (PV) sangat populer karena sumber energinya tidak terbatas dan bebas emisi. Salah satu contoh penerapannya adalah sebagai suplai bagi Pompa Air. Pada penerapannya nilai daya yang dihasilkan oleh PV sangat berpengaruh, dikarenakan semakin optimal daya yang dihasilkan oleh sel surya maka semakin optimal juga air yang dapat dipompa oleh Pompa Air. Namun PV adalah sumber energi non-linier yang daya outputnya berubah bergantung irradiansi dan temperatur sekitar. Oleh karena itu diperlukan suatu metode untuk mengoptimalisasi daya yang dikeluarkan oleh PV. Metode ini dinamakan MPPT (Maximum Power Point Tracking). Penggunaan MPPT dengan algoritma konvensional seperti Perturb and Observe (P&O) memiliki respon yang lambat serta osilasi pada saat berada didaya maksimal. Pada penelitian ini akan dirancang sebuah MPPT dengan algoritma Fuzzy Logic Controller (FLC) sehingga dapat mempercepat respon sistem terhadap perubahan beban dan dapat mengurangi osilasi yang terjadi saat daya maksimal. Dari hasil penelitian yang telah dilakukan sehingga mendapatkan hasil efisiensi energi MPPT FLC dengan perubahan iradiasi sebesar 98.9% (simulasi) atau 97.62% (implementasi) dan perubahan beban sebesar 98.8% (simulasi) atau 96.51% (implementasi). Penggunaan MPPT FLC ketika dihubungkan Pompa Air memiliki total debit air rata-rata lebih banyak dibandingkan tanpa MPPT dengan rasio perbandingan 1.58:1. Sehingga penggunaan MPPT dengan algoritma FLC menghasilkan respon dan efisiensi energi yang lebih baik. ========================================================= At present the application of renewable energy sources such as Photovoltaic (PV) is very popular because the energy sources are unlimited and free of emissions. One example of its application is as a supply for water pumps. In this application the value of the power produced by solar cells is very influential, because the more optimal the power produced by solar cells, the more optimal the water that can be pumped by this water pump. However PV is a non-linear energy source whose output power changes depending on irradiance and ambient temperature. Therefore we need a method to optimize the power released by the PV. This method is called MPPT (Maximum Power Point Tracking). The use of MPPT with conventional algorithms such as Perturb and Observe (P&O) has a slow response and oscillations when in maximum power. In this study an MPPT will be designed with the Fuzzy Logic Controller (FLC) algorithm so that it can accelerate the system's response to load changes and can reduce oscillations that occur when maximum power is available. From the results of research that has been done so as to get the MPPT FLC energy efficiency results with irradiation changes of 98.9% (simulation) or 97.62% (implementation) and load changes of 98.8% (simulation) or 96.51% (implementation). The use of MPPT FLC when connected to a Water Pump has an average total water flow more than without MPPT with a ratio of 1.58: 1. So that the use of MPPT with the FLC algorithm produces better response and energy efficiency.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Photovoltaic, Pompa Air, MPPT, Fuzzy Logic Controller ========================================================= Photovoltaic, Water Pump, MPPT, Fuzzy Logic Controller
Subjects: Q Science > QA Mathematics > QA9.64 Fuzzy logic
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 Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Kurniawan Dwi Saputra
Date Deposited: 12 Aug 2020 02:58
Last Modified: 12 Aug 2020 02:58
URI: https://repository.its.ac.id/id/eprint/77214

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