Maximum power point tracking of photovoltaic system using adaptive modified firefly algorithm

A photovoltaic (PV) module is an important source in distributed generation due to low maintenance cost, low operational cost and eco-friendly. Tracking the maximum power point (MPP) of a PV module has been a hot issue to increase energy production. Maximum power point tracking (MPPT) methods based on nature inspired algorithm such as firefly algorithm (FA) has been proposed to track the MPP. However, the problem the FA method is required long time to reach convergence. Therefore, this paper proposes an adaptive modified firefly algorithm (AMFA) to tracking faster the MPP for convergence. The proposed method is implemented on a buck converter. To evaluate the algorithm, the proposed method is compared with FA and modified FA (MFA). The proposed method is verified by PSIM simulator. The results show that the proposed method can accurately track the MPP and improve the performance of FA in tracking speed for convergence.