Maximum power point tracking algorithm for photovoltaic system under partial shaded condition by means updating β firefly technique

This paper proposes new Simplified Firefly Algorithm (SFA) with an updated β coefficient to maximum power point tracking (MPPT) of photovoltaic system under partial shading condition. The different from standard firefly algorithm is neglected a and y coefficients to simplify an algorithm. The other new feature is updated β coefficient for each iteration step in order to achieve faster convergence. This proposed algorithm is to obtain the optimal solution for MPPT of PV system under three shaded conditions. The simulation results are compared with traditional Perturbation and Observation (P&O) and standard Firefly Algorithm (FA) to verify the proposed method performance. Highest maximum powers and efficiencies are produced by the proposed algorithm. The ripple in steady state condition is also better than P&O and standard FA. The main advantage of proposed algorithm is simpler and faster convergence yet still accurate compared to standard firefly.