A FFP based adaptive control of SPV system tied to weak grid

In this paper, a three-phase grid tied SPV (Solar Photovoltaic) system is controlled through a FFP (Fixed Forward Prediction) based algorithm, which extracts fundamental load current component connected at PCC (Point of Common Coupling). This VSC with FFP based control algorithm feeds the SPV energy to the grid for balancing of the loads, reduction of harmonics, stabilization of grid under voltage sag/swell conditions and the reactive power compensation. Moreover, the rate of convergence of this algorithm is very high. Simulated performance of this system is verified experimentally. The INC (Incremental Conductance) based MPPT (Maximum Power Point Tracking) is applied to the SPV system for extraction of maximum power from the SPV array. The system is tested under various abnormal conditions such as load unbalance, solar connection/disconnection, voltage sag/swell and variable solar insolation. The distortion levels of voltage/current are found to be within limits as defined in an IEEE-519 standard while feeding active power to the grid and connected loads.