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Tytuł artykułu

A comparative study of classical and advanced MPPT control algorithms for photovoltaic systems

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Warianty tytułu
PL
Analiza porównawcza metod MPPT stosowanych w systemach fotowoltaicznych
Języki publikacji
EN
Abstrakty
EN
This paper is aimed to study and compare the performance of four different Maximum Power Point Tracking (MPPT) techniques used to extract the maximum power from photovoltaic (PV) systems. The MPPT methods considered in this study include Perturb and Observe (PO), Fuzzy Logic Control (FLC), Sliding Mode Control (SMC) and Fuzzy Sliding Mode Control (FSMC). A PV model and DC-DC power converter are modelled in Matlab Simpower Systems toolbox and the MPPT algorithms are tested under different operating conditions to analyse the performance and limitations of each algorithm.
PL
W artykule przedstawiono porównanie właściwości czterech technik MPPT – Maximum Power Point Tracking stosowanych do sterowania systemami fotowoltaicznymi. Te cztery techniki były symulowane i analizowane w różnych warunkach pracy.
Rocznik
Strony
65--69
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
  • 1Department of Electrical Engineering, Faculty of Electrical Engineering, SCAMRE Laboratory, ENP, Oran, 31000, Algeria
Bibliografia
  • [1] H. Wu, S. Wang, B. Zhao, et C. Zhu, « Energy management and control strategy of a grid-connected PV/battery system », Int. Trans. Electr. Energy Syst., 2014.
  • [2] M. Coppola et al., « Maximum Power Point Tracking Algorithm for Grid-tied Photovoltaic Cascaded H-bridge Inverter », Electr. Power Compon. Syst., vol. 43, no 8􀀀10, p. 951–963, 2015.
  • [3] T. Kerekes, D. Séra, et L. Máthé, « Three-phase Photovoltaic Systems: Structures, Topologies, and Control », Electr. Power Compon. Syst., vol. 43, no 12, p. 1364–1375, 2015.
  • [4] N. Eghtedarpour et E. Farjah, « Control strategy for distributed integration of photovoltaic and energy storage systems in DC micro-grids », Renew. Energy, vol. 45, p. 96–110, 2012.
  • [5] N. Karami, N. Moubayed, et R. Outbib, « General review and classification of different MPPT Techniques », Renew. Sustain. Energy Rev., vol. 68, p. 1–18, 2017.
  • [6] M. Arsalan, R. Iftikhar, I. Ahmad, A. Hasan, K. Sabahat, et A. Javeria, « MPPT for photovoltaic system using nonlinear backstepping controller with integral action », Sol. Energy, vol. 170, p. 192–200, 2018.
  • [7] H. E. A. Ibrahim et M. Ibrahim, « Comparison Between Fuzzy and P&O Control for MPPT for Photovoltaic System Using Boost Converter », J. Energy Technol. Policy, vol. 2, no 6, p. 1– 11, 2012.
  • [8] H.-T. Yau, Q.-C. Liang, et C.-T. Hsieh, « Maximum power point tracking and optimal Li-ion battery charging control for photovoltaic charging system », Comput. Math. Appl., vol. 64, no 5, p. 822–832, 2012.
  • [9] A. G. Abo-Khalil, D.-C. Lee, J.-W. Choi, et H.-G. Kim, « Maximum power point tracking controller connecting PV system to grid », J. Power Electron., vol. 6, no 3, p. 226–234, 2006.
  • [10] B. Belabbas, T. Allaoui, M. Tadjine, et M. Denai, « Power management and control strategies for off-grid hybrid power systems with renewable energies and storage », Energy Syst., p. 1–30, 2017.
  • [11] B. Belabbas, T. Allaoui, M. Tadjine, et M. Denai, « Power Quality Enhancement in Hybrid Photovoltaic-Battery System based on three–Level Inverter associated with DC bus Voltage Control », J. Power Technol., vol. 97, no 4, p. 272–282, 2017.
  • [12] F. A. O. Aashoor et F. V. P. Robinson, « Maximum power point tracking of photovoltaic water pumping system using fuzzy logic controller », in Power Engineering Conference (UPEC), 2013 48th International Universities’, 2013, p. 1–5.
  • [13] M. Ouada, M. Meridjet, M. Saoud, et N. Talbi, « Increase efficiency of photovoltaic pumping system based BLDC motor using fuzzy logic MPPT control », WSEAS Trans Power Syst, vol. 8, p. 104–113, 2013.
  • [14] M. Ouada, M. S. Meridjet, et N. Talbi, « Optimization photovoltaic pumping system based BLDC using fuzzy logic MPPT control », in Renewable and Sustainable Energy Conference (IRSEC), 2013 International, 2013, p. 27–31.
  • [15] H. Al-Raweshidy et M. Abbod, « A Novel Maximum Power Point Tracking Technique based on Fuzzy logic for Photovoltaic Systems », 2018.
  • [16] M. Farhat, O. Barambones, et L. Sbita, « A new maximum power point method based on a sliding mode approach for solar energy harvesting », Appl. Energy, vol. 185, p. 1185– 1198, 2017.
  • [17] T. Esram, P. L. Chapman, et others, « Comparison of photovoltaic array maximum power point tracking techniques », IEEE Trans. ENERGY Convers. EC, vol. 22, no 2, p. 439, 2007.
  • [18] M. Mohammadi et M. Nafar, « Fuzzy sliding-mode based control (FSMC) approach of hybrid micro-grid in power distribution systems », Int. J. Electr. Power Energy Syst., vol. 51, p. 232–242, 2013.
  • [19] A. Kchaou, A. Naamane, Y. Koubaa, et N. M’sirdi, « Second order sliding mode-based MPPT control for photovoltaic applications », Sol. Energy, vol. 155, p. 758–769, 2017.
  • [20] B. Yang et al., « Perturbation observer based fractional-order sliding-mode controller for MPPT of grid-connected PV inverters: Design and real-time implementation », Control Eng. Pract., vol. 79, p. 105–125, 2018.
  • [21] H. Zhang et S. Cheng, « A new MPPT algorithm based on ANN in solar PV systems », in Advances in Computer, Communication, Control and Automation, Springer, 2012, p. 77–84.
  • [22] A. B. G. Bahgat, N. H. Helwa, G. E. Ahmad, et E. T. El Shenawy, « Maximum power point traking controller for PV systems using neural networks », Renew. Energy, vol. 30, no 8, p. 1257–1268, 2005.
  • [23] Q. Mei, M. Shan, L. Liu, et J. M. Guerrero, « A Novel Improved Variable Step-Size Incremental-Resistance MPPT Method for PV Systems », Ind. Electron. IEEE Trans. On, vol. 58, no 6, p. 2427–2434, 2011.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-179d4756-ae80-4036-9f9a-4eb7a43f5f15
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