Waseso, Heru Purbo (2021) SISTEM KENDALI MPPT BERBASIS FUZZY LOGIC PADA PEMBANGKIT LISTRIK TENAGA SURYA. Skripsi thesis, Institut Teknologi Nasional Malang.
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Abstract
SISTEM KENDALI MPPT BERBASIS FUZZY LOGIC PADA PEMBANGKIT LISTRIK TENAGA SURYA Heru Purbo Waseso, Abraham Lomi, Awan Uji Krismanto herupurbo55@gmail.com ABSTRAK Semakin banyak pertumbuhan penduduk maka peningkatan permintaan pada sistem kelistrikan semakin meningkat, sedangkan di Indonesia sendiri bahan-bahan fosil semakin berkurang dari waktu ke waktu sebagai bahan utama pembangkit. Untuk mengatasi situasi tersebut diperlukan teknologi yang ramah lingkungan seperti energi baru terbarukan (EBT) salah satunya yaitu pembangkit dengan Photovoltaic (PV) sebagai komponen utama. Pembangkit Listrik Tenaga Surya (PLTS) memiliki sifat bersih dan ramah lingkungan serta mudah dipindahkan dengan sifatnya yang modular. Perancangan pembangkit tenaga surya ini, menggunakan metode Fuzzy Logic Controller dan PI Controller, dimana kedua metode tersebut digunakan untuk mencari titik puncak maximum power (MP) yang digunakan untuk fast charger dan MPPT yang disimulasikan menggunakan MATLAB / Simulink. Untuk mengembangkan sistem pembangkit ini dengan menggunakan kedua metode tersebut, hal yang perlu disajikan meliputi intensitas radiasi matahari, temperatur, dan juga membutuhkan modul Photovoltaic (PV). Model yang dikembangkan akan memungkinkan untuk meneliti karakteristik pembangkit tenaga surya dan memprediksi jumlah energinya dihasilkan oleh panel surya di tempat tertentu serta membandingkan keefektifan metode Fuzzy Logic dan PI. Hasil dari penelitian ini, metode Fuzzy menghasilkan tegangan output boost converter dikisaran 600 V dengan hasil yang masih kurang bagus dan kurang stabil namun diradiasi 100 W/m² tegangan sudah stabil, sedangkan tegangan output boost converter yang dikontrol dengan metode PI sangat bagus dan stabil disegala kondisi radiasi serta tegangannya juga dikisaran 600 V. Kata kunci - EBT, Photovoltaic, Fuzzy Logic, PI, MPPT, Software Matlab iii MPPT Control System Based on Fuzzy Logic in Solar Power Plants Heru Purbo Waseso, Abraham Lomi, Awan Uji Krismanto herupurbo55@gmail.com ABSTRACT The more population growth, the increase in demand for the electricity system will increase, while in Indonesia itself, fossil materials are decreasing from time to time as the main material for generating electricity. To overcome this situation, environmentally friendly technologies such as new and renewable energy are needed, one of which is a power plant with Photovoltaic (PV) as the main component. Solar Power Plant (SPP) has clean and environmentally friendly properties and is easy to move with modular properties. The design of this solar power plant uses the Fuzzy Logic Controller and PI Controller methods, where both methods are used to find the maximum power (MP) peak point used for fast chargers and maximum power point tracking (MPPT) which is simulated using MATLAB / Simulink. To develop this generating system using these two methods, things that need to be presented include solar radiation intensity, temperature, and also require a Photovoltaic (PV) module. The model developed will make it possible to examine the characteristics of solar power plants and predict the amount of energy generated by solar panels in a particular location as well as to compare the effectiveness of Fuzzy Logic and PI methods. The results of this study, the Fuzzy method produces a boost converter output voltage in the range of 600 V with results that are still not good and less stable but the irradiation of 100 W / m² voltage is stable, while the boost converter output voltage controlled by the PI method is very good and stable in all conditions. radiation and voltage are also in the range of 600 V. Keywords - Renewable Energy , Photovoltaic, Fuzzy Logic, PI, MPPT, Matlab Software
Item Type: | Thesis (Skripsi) |
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Additional Information: | Heru Purbo Waseso NIM : 1812905 |
Uncontrolled Keywords: | EBT, Photovoltaic, Fuzzy Logic, PI, MPPT, Software Matlab |
Subjects: | Engineering > Electrical Engineering |
Divisions: | Fakultas Teknologi Industri > Teknik Elektro S1 > Teknik Elektro S1(Skripsi) |
Depositing User: | Ms Nunuk Yuli |
Date Deposited: | 22 Jul 2021 02:40 |
Last Modified: | 22 Jul 2021 02:40 |
URI: | http://eprints.itn.ac.id/id/eprint/5547 |
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