Abstract
Maximum power point tracking (MPPT) methods based on fuzzy logic control (FLC) is a popular application in recent years. However, different kinds of fuzzy control methods lack comparative study, which led to confusion in practice. Hence, a comprehensive study on these methods is essential. Unfortunately, very few attempts have been made in this regard. In this paper, four FLC methods are selected for comparative analysis. Furthermore, the design details and experimental result will also be given to help choose and measure these methods, which presents a clear image of the technology of FLC based MPPT to readers.
Highlights
Due to the increasingly serious environmental problems, low carbon economy has received people’s attention
An efficient maximum power point tracking (MPPT) technique is necessary that is expected to track the maximum power point (MPP) at all environmental conditions and force the PV system to operate at that MPP (Sivakumar et al, 2015; Saravanan and Ramesh Babu, 2016; Kandemir et al, 2017; Al-Dhaifallah et al, 2018; Yang et al, 2018a; Yang et al, 2018b; Li X. et al, 2019a; Yang et al, 2019a; Li X. et al, 2019b; Yang et al, 2019b; Yang et al, 2019c; Li S. et al, 2020; Yang et al, 2020b; Eltamaly, 2021; Li F. et al, 2021)
Many advanced control techniques have been associated with the MPPT control such as fuzzy logic control (FLC) in order to increase the efficiency of solar panels
Summary
Due to the increasingly serious environmental problems, low carbon economy has received people’s attention. An efficient maximum power point tracking (MPPT) technique is necessary that is expected to track the maximum power point (MPP) at all environmental conditions and force the PV system to operate at that MPP (Sivakumar et al, 2015; Saravanan and Ramesh Babu, 2016; Kandemir et al, 2017; Al-Dhaifallah et al, 2018; Yang et al, 2018a; Yang et al, 2018b; Li X. et al, 2019a; Yang et al, 2019a; Li X. et al, 2019b; Yang et al, 2019b; Yang et al, 2019c; Li S. et al, 2020; Yang et al, 2020b; Eltamaly, 2021; Li F. et al, 2021). Four FLC methods are selected for comparative analysis.
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