Performance of Intelligent Control of an Autonomous Wind-Battery Based Microgrid System

The proposed standalone wind energy generating system (WEGS) aims to perform under variable wind speeds by utilizing two back to back connected voltage source converters (VSCs). An improved perturb and observe (P&O) maximum power point (MPP) tracking scheme for wind, a normalized fuzzy logic controller (NFLC) for intelligent control of speed of the generator and a new voltage control scheme for controlling the load voltage, are proposed in this work. A bidirectional converter maintains the DC link voltage by controlling the battery power. The improved P&O MPP reduces the oscillations near the MPP by introducing a dynamic perturbation along with the boundary conditions. The NFLC provides tracking of the reference speed at high overshoot transient conditions and narrow bandwidth. The voltage control removes the phase shift between the reference and the sensed voltages. The applicability of proposed control is validated on a developed prototype in the laboratory. Test results show the effectiveness of the proposed system.