Fernando, Deden (2026) Optimasi daya panel surya menggunakan sistem Maximum Power Point Tracking (MPPT) berbasis Algoritma Particle Swarm Optimization. Sarjana thesis, UIN Sunan Gunung Djati Bandung.
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Abstract
INDONESIA: Keluaran daya panel surya dipengaruhi oleh perubahan intensitas iradiasi dan suhu sehingga titik daya maksimum (Maximum Power Point/MPP) selalu berubah. Oleh karena itu, diperlukan sistem Maximum Power Point Tracking (MPPT) untuk memperoleh daya keluaran yang optimal. Penelitian ini bertujuan merancang dan mengimplementasikan sistem MPPT berbasis algoritma Particle Swarm Optimization (PSO) serta menganalisis kinerjanya dalam mengoptimalkan daya panel surya. Sistem yang dikembangkan menggunakan panel surya 100 Wp, asynchronous buck converter, mikrokontroler ESP32, sensor INA219, sensor radiasi, dan sensor DHT22. Algoritma PSO digunakan untuk mengatur nilai duty cycle konverter, kemudian dibandingkan dengan algoritma Perturb and Observe (P&O) melalui pengujian pada kondisi iradiasi stabil, iradiasi fluktuatif, dan partial shading. Pada kondisi iradiasi stabil, algoritma PSO menghasilkan daya rata-rata sebesar 66,00 W, lebih tinggi dibandingkan P&O sebesar 60,54 W, dengan energi yang dipanen masing-masing sebesar 18,491 Wh dan 17,412 Wh. Pada kondisi iradiasi fluktuatif, PSO menghasilkan daya rata-rata sebesar 47,75 W, sedangkan P&O sebesar 45,62 W, dengan energi yang dipanen masing-masing sebesar 29,466 Wh dan 28,316 Wh. Pada kondisi partial shading, sistem menunjukkan kemampuan recovery yang cepat dengan waktu tercepat 22 detik dengan energi yang dipanen sebesar 3,472 Wh pada PSO dan 3,070 Wh pada P&O. Secara keseluruhan, PSO menghasilkan energi yang dipanen lebih tinggi pada ketiga kondisi pengujian, sedangkan P&O menunjukkan perubahan duty cycle yang lebih stabil selama proses pelacakan. ENGLISH: The output power of a solar panel is affected by changes in solar irradiance and temperature, causing the Maximum Power Point (MPP) to vary continuously. Therefore, a Maximum Power Point Tracking (MPPT) system is required to obtain optimal power output. This study aims to design and implement an MPPT system based on the Particle Swarm Optimization (PSO) algorithm and analyze its performance in optimizing solar panel power. The developed system uses a 100 Wp solar panel, an asynchronous buck converter, an ESP32 microcontroller, INA219 sensors, a radiation sensor, and a DHT22 sensor. The PSO algorithm is used to regulate the converter duty cycle and is compared with the Perturb and Observe (P&O) algorithm under stable irradiance, fluctuating irradiance, and partial shading conditions. Under stable irradiance conditions, PSO achieves an average power of 66.00 W, higher than P&O at 60.54 W, with harvested energy of 18.491 Wh and 17.412 Wh, respectively. Under fluctuating irradiance conditions, PSO achieves an average power of 47.75 W, while P&O achieves 45.62 W, with harvested energy of 29.466 Wh and 28.316 Wh, respectively. Under partial shading conditions, the system demonstrates a fast recovery capability, with the fastest recovery time of 22 seconds, and harvested energy of 3.472 Wh for PSO and 3.070 Wh for P&O. Overall, PSO produces higher harvested energy under all three test conditions, while P&O exhibits more stable duty cycle changes during the tracking process.
| Item Type: | Thesis (Sarjana) |
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| Uncontrolled Keywords: | Kata kunci: Maximum Power Point Tracking (MPPT); Particle Swarm Optimization (PSO); Perturb and Observe (P&O); Buck Converter; Panel Surya; ESP32 |
| Subjects: | Electricity > Theories of Electricity Applied Physics > Energy Engineering Applied Physics > Electrical Engineering Applied Physics > Solar Energy Engineering Other Branches of Engineering > Automatic Control Engineering |
| Divisions: | Fakultas Sains dan Teknologi > Program Studi Teknik Elektro |
| Depositing User: | Deden Fernando |
| Date Deposited: | 01 Oct 2026 06:58 |
| Last Modified: | 01 Oct 2026 06:58 |
| URI: | https://digilib.uinsgd.ac.id/id/eprint/143454 |
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