Maulana, Fajar (2026) Peningkatan Kinerja Sistem Fotovoltaik Menggunakan Algoritma Maximum Point Power Tracking (Mppt) Berbasis Kalman Filter-Pid Dengan Buck Converter. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sistem pembangkit listrik tenaga surya (PLTS) sangat dipengaruhi oleh perubahan kondisi lingkungan, terutama intensitas iradiasi dan temperatur, yang menyebabkan titik daya maksimum modul fotovoltaik berubah secara dinamis. Metode Maximum Power Point Tracking (MPPT) diperlukan untuk memastikan sistem PLTS mampu beroperasi secara optimal pada berbagai kondisi lingkungan. Penelitian ini mengembangkan metode MPPT berbasis integrasi Kalman Filter (KF) dan pengendali Proportional–Integral–Derivative (PID). Kalman Filter digunakan untuk mengestimasi Maximum Power Point (MPP) melalui reduksi noise pada sinyal pengukuran dan peningkatan kecepatan konvergensi menuju kondisi optimum. Pengendali PID digunakan untuk mengatur tegangan keluaran konverter agar tetap stabil dan mengikuti nilai referensi yang dihasilkan oleh Kalman Filter. Sistem PLTS beserta metode MPPT yang diusulkan dimodelkan dan disimulasikan menggunakan MATLAB/Simulink dengan menerapkan profil iradiasi sintetis dan data iradiasi aktual. Hasil simulasi menunjukkan bahwa metode KF–PID mampu meningkatkan kemampuan tracking berdasarkan parameter waktu respons, ripple daya, dan efisiensi pelacakan dibandingkan kondisi tanpa kontrol MPPT. Integrasi Kalman Filter dan pengendali PID terbukti mampu meningkatkan kecepatan, akurasi, dan kestabilan pelacakan titik daya maksimum pada kondisi iradiasi yang berubah-ubah.
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Solar photovoltaic (PV) power generation systems are highly influenced by changes in environmental conditions, particularly solar irradiance and temperature, which cause the maximum power point of PV modules to vary dynamically. A Maximum Power Point Tracking (MPPT) method is therefore required to ensure that the PV system operates optimally under various environmental conditions. This study develops an MPPT method based on the integration of a Kalman Filter (KF) and a Proportional–Integral–Derivative (PID) controller. The Kalman Filter is employed to estimate the Maximum Power Point (MPP) by reducing noise in the measurement signals and accelerating convergence toward the optimal operating point. The PID controller regulates the converter output voltage to maintain system stability and track the reference value generated by the Kalman Filter. The PV system and the proposed MPPT method are modeled and simulated using MATLAB/Simulink under synthetic irradiance profiles and actual irradiance data. The simulation results demonstrate that the proposed KF–PID method enhances tracking performance in terms of response time, power ripple reduction, and tracking efficiency compared with the system without MPPT control. The integration of the Kalman Filter and PID controller is proven to improve the speed, accuracy, and stability of maximum power point tracking under varying irradiance conditions.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Maximum Power Point Tracking, Photovoltaic System, Kalman Filter, PID Controller, Buck Converter. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Fajar Maulana |
| Date Deposited: | 30 Jul 2026 00:29 |
| Last Modified: | 30 Jul 2026 00:29 |
| URI: | http://repository.its.ac.id/id/eprint/139694 |
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