Abstract
This paper proposes high-performance maximum power point tracking (MPPT) based on a developed fast convergence approach. The methodology developed in this work is based on the rapid convergence of the operating point to the maximum power point. This approach is compared with conventional MPPT techniques, such as perturbation and observation (P&O) and incremental conductance (IC) algorithms. This technique offers better performance in terms of start-up, steady-state and transient characteristics for climatic conditions. Additionally, this algorithm is based on the characteristics of the photovoltaic (PV) model and is also simpler than conventional MPPT techniques. This proposal has been validated by experimental studies, using a DC-DC Boost converter controlled by a control circuit realized in our laboratory, under changing climatic conditions.
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Adaliou, A.H. et al. (2023). High-Performance MPPT Based on Developed Fast Convergence for PV System-Experimental Validation. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_69
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DOI: https://doi.org/10.1007/978-3-031-29857-8_69
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