Pelacakan Titik Daya Maksimum Fotovoltaik Menggunakan Algoritma P&O (Perturbation dan Observation)

Authors

Keywords:

MPPT, DUTY CYCLE, Matlab Simulink, SIMULINK

Abstract

Peningkatan kebutuhan akan energi terbarukan mengharuskan optimasi sistem fotovoltaik (PV) menggunakan teknik pelacakan titik daya maksimum (MPPT). Penelitian ini berfokus pada penilaian efektivitas algoritma Perturb and Observe (P&O) dalam mengidentifikasi titik daya maksimum dalam sistem PV. Simulasi dilakukan dalam lingkungan MATLAB/Simulink, yang mencakup pemodelan array PV, konverter DC-DC boost, dan kontrol sinyal PWM. Hasil penelitian menunjukkan bahwa algoritma P&O dapat mencapai output daya puncak sebesar 80,97 W, dengan waktu konvergensi 1,5 detik dan efisiensi sistem 98,1%. Validasi dilakukan dengan membandingkan hasil simulasi dengan literatur yang ada, menunjukkan penyimpangan kurang dari 10%. Simulasi ini menunjukkan bahwa algoritma P&O dapat digunakan secara efektif dalam sistem PV skala kecil, memberikan respons cepat dan stabilitas tinggi.

References

Abidi, H., Sidhom, L., & Chihi, I. (2023). Systematic Literature Review and Benchmarking for Photovoltaic MPPT Techniques. Energies, 16(8), 3245. https://doi.org/10.3390/en16083509

Afif, F., & Martin, A. (2022). Tinjauan Potensi dan Kebijakan Energi Surya di Indonesia. Jurnal Engine: Energi, Manufaktur, Dan Material, 6(1), 43. https://doi.org/10.30588/jeemm.v6i1.997

Agrawal, P., Bansal, H. O., Gautam, A. R., Mahela, O. P., & Khan, B. (2022). Transformer-based time series prediction of the maximum power point for solar photovoltaic cells. Energy Science and Engineering, 10(9), 3397–3410. https://doi.org/10.1002/ese3.1226

Alhussain, A. A., & Yasin, K. (2022). Modeling and Simulation of Solar PV Module for Comparison of Two MPPT Algorithms (P&O and INC) in MATLAB/Simulink. International Journal of Electrical Engineering and Computer Science (IJEECS), 28(3), 1430–1439. https://doi.org/10.11591/ijeecs.v28.i3.pp1430-1439

Alhussain, H. M. A., & Yasin, N. (2020). Modeling and simulation of solar PV module for comparison of two MPPT algorithms (P&O & INC) in MATLAB/Simulink. Indonesian Journal of Electrical Engineering and Computer Science, 18(2), 666–677. https://doi.org/10.11591/ijeecs.v18.i2.pp666-677

Bollipo, R. B., Mikkili, S., & Bonthagorla, P. K. (2020). Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation. IET Renewable Power Generation, 14(9), 1433–1452. https://doi.org/10.1049/iet-rpg.2019.1163

Choudhury, S., & others. (2021). Mathematical Modeling of PV Module with Detailed Parametric Analysis. IEEE Access, 9, 98544–98556. https://doi.org/10.1109/ACCESS.2021.3093780

Devarakonda, A. K., Karuppiah, N., Selvaraj, T., Balachandran, P. K., Shanmugasundaram, R., & Senjyu, T. (2022). A Comparative Analysis of Maximum Power Point Techniques for Solar Photovoltaic Systems. Energies, 15(22), 134–139. https://doi.org/10.3390/en15228776

Et-Torabi, K., Mesbahi, A., & Nouaiti, A. (2025). Experimental Validation of Intelligent MPPT Control for Photovoltaic Energy Chain. Engineering, Technology and Applied Science Research, 15(2), 21754–21761. https://doi.org/10.48084/etasr.10003

Ghasemi, B. A., & others. (2022). Design and Simulation of High-Efficiency DC-DC Boost Converter for PV Applications. IEEE Access, 10, 40400–40410. https://doi.org/10.1109/ACCESS.2022.3166203

Krim, S. A., Krim, F., Afghoul, H., & Abdelmalek, F. (2024). An Enhanced Perturb and Observe MPPT for Photovoltaic Systems Based on Fuzzy Step. Journal Europeen Des Systemes Automatises, 57(2), 363–372. https://doi.org/10.18280/jesa.570206

Vicente, E. M., Dos Santos Vicente, P., Moreno, R. L., & Ribeiro, E. R. (2020). High-efficiency MPPT method based on irradiance and temperature measurements. IET Renewable Power Generation, 14(6), 986–995. https://doi.org/10.1049/iet-rpg.2019.0849

Wang, Y., & others. (2021). Real-Time Implementation of P&O MPPT with Noise Mitigation. IEEE Transactions on Industrial Electronics, 68(5), 4152–4161. https://doi.org/10.1109/TIE.2020.2994442

Zouhri, A. (2024). Advanced Perturb and Observe Algorithm for Maximum Power Point Tracking in Photovoltaic Systems With Adaptive Step Size. Journal of Automation, Mobile Robotics and Intelligent Systems, 18(3), 55–60. https://doi.org/10.14313/JAMRIS/3-2024/22

Sharma, P., Singh, M., & Kumar, R. (2023). Design and Analysis of High-Efficiency Boost Converter for Photovoltaic Applications with Reduced Ripple and Fast Dynamic Response. Energy Conversion and Management, 286, 117012. https://doi.org/10.1016/j.enconman.2023.117012

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Published

2025-08-01

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