Abstract
To optimize the solar energy efficiency, maximum power point tracking (MPPT) algorithm is usually used in solar photovoltaic (SPV) systems. In this paper, a new MPPT method based on artificial neural network (ANN) has been proposed for searching maximum power point (MPP). The new combined method is established on the three-point comparing method and ANN-based PV model method. The three-point comparing method has the advantage of searching the MPP exactly when the solar irradiance changes sharply, and it can make the system work under a stable mode. The advantage of ANN-based PV model method is the fast MPP approximation according to the parameters of PV panel. The proposed new MPPT algorithm can search the MPP fast and exactly based on the feedback voltage and current with different solar irradiance and temperature of environment. The method is simulated and studied using Matlab software and the results of simulation prove the effectiveness of the proposed algorithm.
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Zhang, H., Cheng, S. (2011). A New MPPT Algorithm Based on ANN in Solar PV Systems. In: Wu, Y. (eds) Advances in Computer, Communication, Control and Automation. Lecture Notes in Electrical Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25541-0_11
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DOI: https://doi.org/10.1007/978-3-642-25541-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25540-3
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