Hybrid maximum power point tracking algorithm with improved dynamic performance

Milad Bahrami, Roghayeh Gavagsaz-Ghoachani, Majid Zandi, Matheepot Phattanasak, Gaël Maranzanaa, Babak Nahid-Mobarakeh, Serge Pierfederici and Farid Meibody-Tabar

Renewable Energy, 2019, vol. 130, issue C, 982-991

Abstract: In light of the low efficiency of photovoltaic (PV) panels and varying environmental conditions, it is necessary to develop methods for maximum power extraction of PV panels in any environmental conditions. Here, a new hybrid method is proposed for maximum power point tracking (MPPT). The fuzzy logic control-based method is very fast and accurate but difficult to implement. In addition, this method depends on PV arrays. The three-point weight method is another MPPT method that does not compromise on the maximum power point under fast transient conditions. The advantages of both methods are utilized in the proposed method. Furthermore, the overall complexity is decreased by simplifying the fuzzy logic part. The three methods were experimentally validated and, in addition, were numerically simulated in Matlab.

Keywords: Photovoltaic; Maximum power point tracking; Fuzzy logic (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:130:y:2019:i:c:p:982-991

DOI: 10.1016/j.renene.2018.07.020

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