Pengaturan Tracking Posisi Panel Photovoltaic Menggunakan Fuzzy Logic Tipe 2

Saldanha, Januario Julio C S (2020) Pengaturan Tracking Posisi Panel Photovoltaic Menggunakan Fuzzy Logic Tipe 2. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Adanya kelangkaan energi dan pengurangan sumber energi
konvensional serta kenaikan pemakaian energi di dunia membuat
manusia mulai menggunakan energi terbarukan untuk memenuhi
kebutuhan energi. Salah satu sumber energi yang paling sederhana
dalam penggunaannya adalah energi matahari, menggunakan Panel
Photovoltaic. Panel Photovoltaic sering dipasang secara statis yang
menyebabkan panel hanya dapat menghasilkan energi yang maksimal
pada waktu tertentu saja yaitu saat panel tegak lurus terhadap matahari.
Sistem tracking posisi single-axis yang diajukan pada tugas akhir ini
memberikan solusi untuk mengoptimalkan energi keluaran dengan
menggerakan panel mengikuti pergerakan matahari dari timur ke barat
sehingga panel selalu tegak terhadap matahari. Metode Fuzzy tipe 2
yang digunakan pada tugas akhir ini adalah Mamdani Inference.
Mekanisme dari sistem tracking ini berdasarkan atas prinsip
keseimbangan dengan membandingkan tegangan dari kedua sensor
cahaya (LDR). Tegangan dari LDR diproses oleh Mamdani Fuzzy tipe 2,
keluarannya menjadi sinyal motor DC untuk menggerakan panel PV.
Hasil energi dari panel PV yang didapatkan menggunakan sistem
tracking adalah sebesar 1092Wh sedangkan panel statis menghasilkan
821.6Wh. Sehingga dapat di simpulkan panel menggalami kenaikan
sebesar 32.9% dibandingkan dengan panel PV yang dipasang secara
statis.
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Due to energy scarcity, the decreasing of energy resources and the increasing of energy demands in the world makes people start using alternative or renewable energy to fulfill their energy needs. One of the simplest renewable energy is solar energy, which can be obtained by using photovoltaic panel. Photovoltaic panel always installed in fixed state, which makes the panel only produce maximum power at certain time when the panel is perpendicular to then sun. The proposed single-axis position tracking offers maximum power produced by moving the panel in accordance to the sun position in a single direction, which is from east to west. The fuzzy method use in this paper is Mamdani type 2 inference. The mechanism of the system is based on balancing principle by comparing the light intensity in two different light detectors. The voltage from LDR processed by the type 2 fuzzy logic controllers. The output from Fuzzy is a signal to control the DC motor to adjust the PV angle. The result from the PV panel that uses solar tracker has 1092Wh and the static PV panel has an output of 821.6Wh. The panel has gained 32.9% more power than the fixed state photovoltaic panels.

Item Type: Thesis (Other)
Uncontrolled Keywords: Light Dependent Resistor, Type 2 Fuzzy Logic Controller, DC motor, Sun angle, Panel angle, Position tracking.
Subjects: Q Science > QA Mathematics > QA9.64 Fuzzy logic
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar powerplants
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4055 Electric motor
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Mr Januario Julio Cesar Sequeira Saldanha
Date Deposited: 23 Dec 2020 21:38
Last Modified: 18 Jan 2024 13:01
URI: http://repository.its.ac.id/id/eprint/82327

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