Amrulloh, Muhammad Nafidz Fathnan (2024) Desain Dan Implementasi Boost Converter Untuk Maximum Power Point Tracking Berbasis Fuzzy Logic Controller Pada Photovoltaic. Other thesis, Institut Teknologi Sepuluh Nopember.
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5022201006-Non_Degree.pdf - Accepted Version Restricted to Repository staff only until 1 October 2026. Download (2MB) | Request a copy |
Abstract
Penelitian ini berfokus pada desain dan implementasi boost converter untuk sistem panel surya (Photovoltaic) dengan menggunakan algoritma Maximum Power Point Tracking (MPPT) berbasis Fuzzy Logic Controller (FLC). Boost converter dirancang untuk meningkatkan dan menstabilkan tegangan keluaran meskipun terjadi variasi beban, yang penting untuk optimalisasi kinerja MPPT. Hasil penelitian menunjukkan bahwa boost converter yang dirancang mampu meningkatkan dan menstabilkan tegangan output dengan baik. Hasil simulasi pada metode MPPT berbasis Fuzzy Logic menunjukkan hasil yang lebih baik dibandingkan metode Perturb and observe (P&O) dalam kondisi irradians tetap dan berubah, dengan efisiensi tertinggi mencapai 91,13% pada kondisi irradians tetap dan 90,20% pada kondisi irradians berubah. Implementasi beban paralel juga menunjukkan efisiensi yang baik, dengan konfigurasi dua beban paralel mencapai 86,76% dan pada kondisi partial shading mencapai efisiensi sebesar 86,01%. Secara keseluruhan, integrasi boost converter dengan metode MPPT berbasis Fuzzy Logic terbukti meningkatkan stabilitas tegangan dan arus, serta efisiensi dan kinerja sistem PV secara keseluruhan.
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This research focuses on the design and implementation of a boost converter for photovoltaic (PV) systems using a Fuzzy Logic Controller (FLC)-based Maximum Power Point Tracking (MPPT) algorithm. The boost converter is designed to increase and stabilize the output voltage despite load variations, which is crucial for optimizing MPPT performance. The results show that the designed boost converter effectively enhances and stabilizes the output voltage. The Fuzzy Logic-based MPPT method demonstrates better performance compared to the Perturb and observe (P&O) method under both steady and varying irradiance conditions, achieving the highest efficiency of 91.13% under steady irradiance and 90.20% under varying irradiance. The implementation of parallel loads also shows good efficiency, with a two-parallel-load configuration reaching 86.76%, and under partial shading conditions, the system achieves an efficiency of 86.01%. Overall, the integration of the boost converter with the Fuzzy Logic-based MPPT method significantly improves voltage and current stability, as well as the overall efficiency and performance of the PV system.
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