AFFATAH, MUHAMMAD DZIKRY (2024) PENYEIMBANGAN PENGISIAN BATTERY ARRAY MENGGUNAKAN ACTIVE EQUALIZER DAN MONITORING BERBASIS INTERNET OF THINGS PADA PHOTOVOLTAIC SYSTEM. S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.
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Abstract
Sistem Photovoltaic (PV) memanfaatkan energi matahari menjadi listrik, termasuk dalam Pembangkit Listrik Tenaga Surya (PLTS) off-grid yang mengandalkan baterai sebagai cadangan. Baterai lithium ringan dan efisien digunakan dengan Battery Management System (BMS) untuk mengawasi dan meningkatkan kinerja. Penelitian ini mengembangkan BMS yang mengintegrasikan pengisian-pengosongan efisien, kontrol suhu, dan monitoring IoT, meningkatkan performa dan umur baterai. Hasil pengujian menunjukkan bahwa sistem ini mampu memantau tegangan, arus, suhu, serta persentase State of Charge (SoC) dan Depth of Discharge (DoD) baterai dengan akurasi yang baik, dengan rata-rata error kalibrasi sebesar 2,438% untuk tegangan dan 2,699% untuk arus. Selain itu, sistem ini dapat melindungi baterai dari overcharge, overdischarge, dan overheat, yang secara signifikan meningkatkan umur pakai baterai. Informasi tegangan, arus, dan status baterai dikirimkan melalui IoT menggunakan modul ESP32 dan tersimpan pada platform IoT dengan konektivitas internet, serta data dapat disimpan di penyimpanan cloud platform IoT. Penelitian ini memiliki potensi untuk meningkatkan kinerja sistem fotovoltaik dengan memastikan baterai bekerja pada kondisi yang optimal dan aman. Penggunaan IoT juga memungkinkan pemantauan jarak jauh dan manajemen yang lebih efisien.
| Item Type: | Thesis (S1) | ||||||
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| Additional Information: | Photovoltaic (PV) systems harness solar energy into electricity, including off-grid Solar Power Plants (PLTS) relying on batteries as reserves. Lightweight and efficient lithium batteries are utilized with a Battery Management System (BMS) to oversee and enhance performance. This research develops a BMS integrating efficient charging-discharging, temperature control, and IoT monitoring, improving battery lifespan and performance. Test results demonstrate accurate monitoring of voltage, current, temperature, State of Charge (SoC), and Depth of Discharge (DoD), with calibration errors averaging 2.438% for voltage and 2.699% for current. Additionally, the system safeguards against overcharge, overdischarge, and overheat, significantly prolonging battery lifespan. Voltage, current, and battery status information is transmitted via IoT using the ESP32 module and stored on an IoT platform with internet connectivity, with data also stored in cloud storage. This research has the potential to enhance photovoltaic system performance by ensuring batteries operate under optimal and safe conditions. The utilization of IoT enables remote monitoring and more efficient management. | ||||||
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | 03-Fakultas Teknik 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro |
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| Depositing User: | Muhammad Dzikry Affatah | ||||||
| Date Deposited: | 24 Apr 2024 12:49 | ||||||
| Last Modified: | 24 Apr 2024 12:49 | ||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/34843 |
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