Simulation and Analysis of MPPT Control with Modified Firefly Algorithm for Photovoltaic System

This paper presents the simulation and analysis of maximum power point tracking (MPPT) control with modified firefly algorithm (MFA) for photovoltaic (PV) system. The availability of solar energy varies widely with ambient temperature and different atmospheric conditions and hence the maximum power point (MPP) of PV system is not stable. Therefore, a MPPT controller is needed to operate the PV at its MPP. Maximum power tracking methods based on nature inspired algorithm such as MFA is proposed to track the MPP. The proposed method is implemented on a boost DC-DC converter. The result shows that the proposed method can accurately track the MPP and improve the performance of firefly algorithm (FA) in tracking speed for convergence. The effectiveness of the proposed system is provided for PV system by the simulation results and maximum power analysis. The effectiveness of the proposed system is proved with the help of simulation. The simulation is performed in MATLAB/Simulation.