Algoritma MPPT Panel Surya Ketika Kondisi Berbayang Menggunakan Teknik Randomisasi Perturb & Observed
Abstract
Perturb and Observe (P&O) adalah teknik Maximum Power Point Tracking (MPPT) yang sangat populer dan telah diterapkan secara luas di berbagai industri atau penelitian untuk sistem panel surya. Teknik ini memiliki banyak kelebihan pada proses penemuan Maximum Power Point (MPP). Ketika kondisi berbayang, panel surya memiliki beberapa MPP yang disebut solusi lokal dan satu nilai terbesar adalah solusi global sebagai nilai MPP yang sebenarnya. Sumber daya panel surya menghasilkan daya paling besar ketika beroperasi pada solusi global. Teknik P&O ternyata terjebak pada solusi lokal dan tidak dapat melacak MPP yang sebenarnya. Makalah ini mengusulkan modifikasi sederhana dari teknik P&O yang disebut algoritma Randomisasi P&O (RP&O). Teknik ini telah disimulasikan dalam kondisi normal dan berbayang dan dibandingkan dengan teknik P&O. Algoritma RP&O yang diusulkan ternyata dapat melacak MPP yang sebenarnya dan memiliki kinerja yang lebih baik daripada teknik asli P&O.
Keywords
Full Text:
PDFReferences
Afandi, A.N., Fadlika, I., Rahmawati, Y., Sias, Q.A., Sulistyorini, Y. and Hani, S., 2019, May. Natural Obstacles and Biological Salmon Behaviors Link to Modelling Approaches of Computational Intelligence Procedures for the Standard System. In IOP Conference Series: Earth and Environmental Science (Vol. 276, No. 1, p. 012002). IOP Publishing.
Ahmed, J. and Salam, Z., 2015. An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency. Applied Energy, 150, pp.97-108.
Alik, R. and Jusoh, A., 2017. Modified Perturb and Observe (P&O) with checking algorithm under various solar irradiation. Solar Energy, 148, pp.128-139.
Dallago, E., Liberale, A., Miotti, D. and Venchi, G., 2015. Direct MPPT algorithm for PV sources with only voltage measurements. Power Electronics, IEEE Transactions on, 30(12), pp.6742-6750.
Ghamrawi, A., Gaubert, J.P. and Mehdi, D., 2018. A new dual-mode maximum power point tracking algorithm based on the Perturb and Observe algorithm used on solar energy system. Solar Energy, 174, pp.508-514.
Kamarzaman, N.A. and Tan, C.W., 2014. A comprehensive review of maximum power point tracking algorithms for photovoltaic systems. Renewable and Sustainable Energy Reviews, 37, pp.585-598.
Kumar, N., Hussain, I., Singh, B. and Panigrahi, B.K., 2017. Framework of maximum power extraction from solar PV panel using self predictive perturb and observe algorithm. IEEE Transactions on Sustainable Energy, 9(2), pp.895-903.
Logeswaran, T. and SenthilKumar, A., 2014. A review of maximum power point tracking algorithms for photovoltaic systems under uniform and non-uniform irradiances. Energy Procedia, 54, pp.228-235.
López-Erauskin, R., González, A., Petrone, G., Spagnuolo, G. and Gyselinck, J., 2020. Multi-Variable Perturb and Observe Algorithm for Grid-Tied PV Systems With Joint Central and Distributed MPPT Configuration. IEEE Transactions on Sustainable Energy, 12(1), pp.360-367.
Mohanty, S., Subudhi, B. and Ray, P.K., 2016. A grey wolf-assisted perturb & observe MPPT algorithm for a PV system. IEEE Transactions on Energy Conversion, 32(1), pp.340-347.
Sias, Q.A. and Robandi, I., 2016, July. Recurrence Perturb and Observe algorithm for MPPT optimization under shaded condition. In 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA) (pp. 533-538). IEEE.
Sias, Q.A., Fadlika, I., Wahyono, I.D. and Afandi, A.N., 2019. Quasi Z-Source Inverter as MPPT on Renewable Energy using Grey Wolf Technique. Proceeding of the Electrical Engineering Computer Science and Informatics, 5(1), pp.362-366.
Sias, Q.A., Wibawa, A.P., Aripriharta and Afandi, A.N., 2020, September. Performances of photovoltaic array configurations under partial shading condition. In AIP Conference Proceedings (Vol. 2255, No. 1, p. 020007). AIP Publishing LLC.
Shongwe, S. and Hanif, M., 2015. Comparative analysis of different single-diode PV modeling methods. Photovoltaics, IEEE Journal of, 5(3), pp.938-946.
DOI: http://dx.doi.org/10.17977/um034v30i2p52-58
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 TEKNO: Jurnal Teknologi Elektro dan Kejuruan
Gedung B11, Lantai 2
Departemen Teknik Elektro dan Informatika, Fakultas Teknik
Universitas Negeri Malang
Jln. Semarang No.5 Malang, Jawa Timur
TEKNO : Jurnal Teknologi Elektro dan Kejuruan licensed under a Creative Commons Attribution-ShareAlike 4.0 International License



