Modelling and simulation of photovoltaic system using hybrid improved shuffled frog leaping algorithm -Fuzzy controller under partial shaded condition

Due to its technical characteristics and economic benefits, the use of the photovoltaic (PV) system has become very common in the world. Nevertheless, the intermittent behavior of solar systems has created challenges for power grids due to their strong dependence on radiation and temperature. Moreover, PV systems must be operated at their maximum power so that they can return the investment costs in less time and also have higher efficiency. As a result, it is crucial to propose new maximum power point tracking (MPPT) methods to track the maximum power in conditions of uncertainty. To cope with this challenge, the fuzzy logic controller (FLC) is very effective approach. This study suggests the FCL for the MPPT algorithm for an isolated PV system using a push-pull converter. The suggested technique is optimized using the improved shuffled frog leaping algorithm (ISFLA) to improve the current MPPT controllers. To deal with the intermittent behavior of solar systems during peak load conditions, Grid is used to respond to the essential load. Fast convergence and low power fluctuations are the advantages of the recommended algorithm in tracing the MPP. The MATLAB/SIMULINK software is used to confirm the effectiveness of the recommended scheme. According to the simulation results, the PV system efficiency is increased to 99.7%.

Automated summary

Due to its technical characteristics and economic benefits, the use of the photovoltaic (PV) system has become very common in the world. However, the intermittent behavior of solar systems has created challenges for power grids due to their strong dependence on radiation and temperature. This study suggests the fuzzy logic controller (FLC) for the maximum power point tracking (MPPT) algorithm in an isolated PV system using a push-pull converter. The recommended algorithm has advantages in fast convergence and low power fluctuations.