Abstract
This paper aims to control and optimize a photovoltaic (PV) system, which is often affected by climatic changes, such as temperature and solar irradiation. In this regard, an improved incremental conductance (IC) algorithm is proposed as a maximum power tracking (MPPT) method to improve the tracking accuracy, improve the convergence speed and reduce the steady-state power oscillations when solar irradiance suddenly increases. Conventional IC technique suffers from a major drawback which lies in its inability to make the correct step-change decision during the rapid increase in solar irradiance, thus reducing the MPPT controller efficiency. Therefore, we proposed a modified algorithm, which ensures an efficient tracking of the maximum PV power under different climatic conditions, whose step size decision is more suitable than the conventional IC algorithm. In addition, this modification acts directly on the DC-DC converter duty cycle without using a linear controller, making the system simpler and more efficient. Simulation results performed in MATLAB/Simulink have demonstrated the satisfactory performance of the proposed algorithm compared to the conventional IC algorithm concerning convergence speed and steady-state oscillations when solar radiation increases.
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Ez-Zghari, M., Chtita, S., El Youssfi, N., Zarrouk, T., El Khadiri, K., Tahiri, A. (2022). Optimized Energy Output from a PV System Using a Modified Incremental Conductance Algorithm for Rapidly Changing Insolation. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-031-02447-4_67
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DOI: https://doi.org/10.1007/978-3-031-02447-4_67
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