A new MPPT design using ISFLA algorithm and FLC to tune the member functions under different environmental conditions

Fluctuations in the output power of photovoltaic (PV) under climate changes such as variations in temperature and radiation is an important challenge for these resources. Therefore, it is very important to keep the output power of solar systems constant without any fluctuation at their maximum power point in the event of climate change. The aim of this paper is to suggest a maximum power point tracking (MPPT) method to cancel the output power oscillation of PV systems in severEe weather conditions, especially under radiation and temperature changes. In order to find the optimal parameters of the MPPT controller, the improved shuffled frog-leaping algorithm (ISFLA) and fuzzy controller are used. In addition, to fine-tune the member functions (MFs) of FLC, the combination of the fuzzy logic controller (FLC) and the ISFLA algorithm are employed. The ISFLA is an effective solution to cope with the stochastic behavior of the PV system under changing the radiation and ambient temperature. A storage system is also used to provide more stability and reliability for the system. Simulation results show that the recommended scheme provides excellent tracking efficiency from 98.1 to 99.6%. The case study under partial shading conditions also confirms the 16% improvement in the efficiency of the proposed method and more stability compared to the conventional P&O MPPT controller.

Automated summary

Fluctuations in the output power of photovoltaic systems under climate changes, especially radiation and temperature variations, pose important challenges. This paper proposes a maximum power point tracking method to eliminate power oscillations in PV systems in severe weather conditions. The improved shuffled frog-leaping algorithm and fuzzy controller are used to find optimal parameters. The combination of the fuzzy logic controller and ISFLA algorithm is employed to fine-tune the member functions. A storage system is utilized for increased stability and reliability. Simulation results demonstrate excellent tracking efficiency, with a 16% improvement compared to conventional MPPT controllers under partial shading conditions.