Hybrid maximum power point tracking algorithm with improved dynamic performance

• Published in: Renewable energy 2019-01, Vol.130, p.982-991
• Main Authors: Bahrami, Milad, Gavagsaz-Ghoachani, Roghayeh, Zandi, Majid, Phattanasak, Matheepot, Maranzanaa, Gaël, Nahid-Mobarakeh, Babak, Pierfederici, Serge, Meibody-Tabar, Farid
• Format: Article
• Language: English
• Subjects: Electric power; Engineering Sciences; Fuzzy logic; Maximum power point tracking; Photovoltaic
• ISSN: 0960-1481; 1879-0682
• DOI: 10.1016/j.renene.2018.07.020

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. •Varying environmental conditions make the production power of photovoltaic panels change.•Using photovoltaic panels needs a maximum power point tracking (MPPT) controller.•Three-point weight MPPT method does not compromise on the maximum power point under fast transient conditions.•New hybrid maximum power point tracking combined two existing methods.•MPPT’s complexity is decreased by simplifying the fuzzy logic part.