Control of BES-Wind Driven DFIG based Microgrid with Synchronization to Grid using IFxLMK Algorithm

A microgrid consisting of battery energy storage (BES) and wind driven doubly fed induction generator (DFIG) is used in this work. Grid is formed at common connection point (CCP) by the BES and the stator is synchronized to CCP when voltage, frequency and angle of both sides are nearly equal. When the grid is available, the CCP is synchronized to the grid when voltage, frequency and angle of both sides are nearly equal. Smooth synchronization is ensured in each case with uninterrupted power flow to the loads at CCP. In this work, an improved filtered x- least mean kurtosis (IFxLMK) algorithm is used for BES control to extract the fundamental component of local load currents. Moreover, bayesian regularized backward propagation-artificial neural network (BRBP-ANN) based rotor phase locked loop (RPLL) scheme is implemented to estimate the rotor position and speed. The system is simulated in MATLAB/Simulink software. The performances of the system are studied in stator synchronization condition, grid synchronization condition and under load and wind change conditions.