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All Journal Prosiding Seminar Nasional Inovasi Teknologi Terapan Jurnal Inovasi Teknologi Terapan
Liana, Valencia
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Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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MAXIMUM POWER POINT TRACKING (MPPT) PADA SOLAR PANEL Liana, Valencia; Ardhita, Maya
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 4 (2024): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

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Abstract

Electrical energy is a major necessity in human life today, being the driving force for various activities that are increasing. Renewable energy sources are alternative energy sources available around us, namely sunlight, which can be converted into electrical energy through solar panels. However, because solar panels have non-linear characteristics, causing the output power of solar panels to vary so that a maximum power point tracking (MPPT) algorithm is needed. The methods used are the temperature method and the PO (Perturb & Observe) method. The test results when there is an increase in light intensity, it will affect the increase in voltage and current produced by the solar panel output. And vice versa, if there is a decrease in light intensity, there is also a decrease in the voltage and current produced. The intensity of light entering and absorbed by the solar panel will change every time, from duty cucle 0 to 255. The lowest light intensity, 91, does not produce any voltage and current, while the highest light intensity, 238, produces a voltage of 6.06 V and a current of 128 mA.
Maximum Power Point Tracking (MPPT) pada Solar Panel Ardhita, Maya; Liana, Valencia; Setiawan, I Made Andik; Ocsirendi, Ocsirendi
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 2 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i2.281

Abstract

The increasing demand for electricity encourages the utilization of renewable energy such as solar panels. However, solar electricity production faces efficiency challenges as the panel output is highly dependent on light intensity and ambient temperature. This test aims to optimize the output power of solar panels using Maximum Power Point Tracking (MPPT) with Perturb and Observe (PO) method and light sensor-based prediction (LDR). The test was conducted using 100 Wp monocrystal solar panel with MPPT algorithm implemented through buck-boost converter and controlled by Arduino Mega 2560. The results showed that the MPPT system increased the output power efficiency by 16.13% compared to the non-MPPT system. Variation of light intensity from 0 to 10,400 lux resulted in an increase in voltage from 1.15V to 25V, with maximum power increasing from 0.023W to 13W, reaching an average of 800 LUX/W. Characterization of LDR resulted in a conversion factor of 7,761.194 LUX/LDR, enabling accurate prediction of MPPT values based on light intensity. Comparative analysis between the LDR and PO methods showed the LDR method reached a maximum power of 11.62W at 9,293.71 lux, while the PO method reached 12.51W at 8,500 lux, indicating comparable performance in optimizing solar panel output power.
Co-Authors Ardhita, Maya Ocsirendi Setiawan, I Made Andik