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A comprehensive review and classified comparison of MPPT algorithms in PV systems

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Abstract

One of the most available energy sources in the world is solar energy, while in the category of renewable and nonrenewable energies is in the first group. Power generation of a photovoltaic (PV) system is a technique which is possible by using solar cells. Since photovoltaic systems cannot force solar cells to operate at MPP, a controller is needed to do so. If the controller can operate more accurately, or in other words, be optimized, the system will have an appropriate output. Many papers have been presented on maximum power point tracking algorithms. This paper intends to review the previous articles and provide a proper division, performance method. This explains the performance, application, advantages and disadvantages of algorithms to be a good reference for selecting the appropriate algorithm. Algorithms in this paper are divided into four categories methods based on measurement, calculation, intelligent schemes and hybrid schemes. The exhibition of new algorithms and the optimization of previous algorithms have led to the number of articles in this field over the years. In order to review the methods a comparative table is also provided. Finally, a PV system has been controlled by using three algorithms P&O, IC and Fuzzy-PI. The outputs control signals from the MPPT have been applied by Boost and SEPIC converters, and the outputs have been compared. Simulations have been performed in MATLAB/Simulink software.

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Authors and Affiliations

  1. Electrical Engineering Department, Imam Khomeini International University, Qazvin, Iran

    Mohammad Sarvi & Ahmad Azadian

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  1. Mohammad Sarvi
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  2. Ahmad Azadian
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Correspondence to Mohammad Sarvi.

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Sarvi, M., Azadian, A. A comprehensive review and classified comparison of MPPT algorithms in PV systems. Energy Syst 13, 281–320 (2022). https://doi.org/10.1007/s12667-021-00427-x

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