Abstract: The energy demand is increased now days and the non- renewable energies are produce high environmental hazards and its reduced by the renewable energy resources. In solar energy is convert electrical energy which help of photo voltaic (PV) generation. The solar energy efficacy reduced because of climatic change, so need to track maximum power point of PV. The maximum power point tracking (MPPT) methods like perturb-and-observe (P&O) method is used to track only the first local maximum point (LMP) the progress. MPPT methods based on Fire Fly Algorithm (FA) used to track the global maximum point (GMP). But the problem associated with the FA algorithm is produce long time for searching the LMP. This paper reports a hybrid method, which combines P&O and FA methods. First, the P&O method is used to find the local maximum point. Then, starting from that point on, the FA method is used to search the GMP. The advantage of the proposed the time that is required for convergence improved.

Keywords: Photovoltaic (PV), Maximum Power Point Tracking (MPPT), Fire Fly (FA), Perturb & Observe (P&O).