Abstract
The aim of this paper is to study and to compare between two control strategies for tracking the Maximum Power Point (MPP) for a photovoltaic (PV). The PV array is connected to the load through a boost converter. In fact, the Maximum Power Point Tracking (MPPT) is achieved by using two different methods for searching the Maximum Power point (MPP). These strategies methods are Perturb and observe (P&O) and Extremum Seeking Control (ESC). The aim goal of these strategies is to predict the maximum power point. Simulation results show the effectiveness of the control strategies applied to the studied system.
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References
Abdelsalam, A.K., Massoud, A.M., Ahmed, S., Enjeti, P.N.: High-performance adaptive perturb and observe MPPT technique for photovoltaic- based microgrids. IEEE Trans. Power Electron. 26, 1010–1021 (2011)
Esram, T., Chapman, P.L.: Comparison of photovoltaic array maximum power point tracking techniques. IEEE Trans. Energy Convers. 22, 439–449 (2007)
Alajmi, B.N., Ahmed, K.H., Finney, S.J., Williams, B.W.: Fuzzylogic-control approach of a modified hill-climbing method for maximum power point in microgrid standalone photovoltaic system. IEEE Trans. Power Electron. 26, 1022–1030 (2011)
Jiang, L.L., Nayanasiri, D.R., Maskell, D.L., Vilathgamuwa, D.M.: A hybrid maximum power point tracking for partially shaded photovoltaic systems in the tropics. Renew. Energy 76, 53–65 (2015)
Ishaque, K., Salam, Z., Lauss, G.: The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions. Appl. Energy 119, 119–128 (2014)
Tan, Y., Moase, W., Manzie, C., Nesic, D., Mareels, I.M.Y.: Extremum seeking from 1922 to 2010. In: 29th Chinese Control Conference, CCC10, pp. 14–26 (2010)
Ariyur, K.B., Krsti´c, M.: Real-Time Optimization by Extremum-Seeking Control. Wiley, Hoboken (2003)
Krstic, M., Wang, H.: Stability of extremum seeking feedback for general nonlinear dynamic systems. Automatica 36, 595–601 (2000)
Dandois, J., Pamart, P.-Y.: NARX modeling and extremum-seeking control of a separation. J. Aerosp. Lab. 6, 1–13 (2013)
Krstic, M.: Performance improvement and limitations in extremum seeking control. Syst. Control Lett. 39, 313–326 (2000)
Yin, C., Chen, Y., MingZhong, S.: Fractional-order sliding mode based extremum seeking control of a class of nonlinear systems. Automatica 50, 3173–3181 (2014)
Moballegh, S., Jiang, J.: Modeling, prediction, experimental validations of power peaks of PV arrays under partial shading conditions. IEEE Trans. Sustain. Energy 5, 293–304 (2014)
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Oubbati, B.K., Boutoubat, M., Belkheiri, M., Rabhi, A. (2019). Extremum Seeking and P&O Control Strategies for Achieving the Maximum Power for a PV Array. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_26
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DOI: https://doi.org/10.1007/978-3-030-04789-4_26
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