Abstract
A grid-connected microgrid with virtual inertia using master/slave control is proposed to overcome the drawback of conventionally inverter-based distributed generators (DGs) for lacking of inertia. In this study, the microgrid consists of a storage system, a photovoltaic (PV) system and a three-phase resistive load. The storage system and PV system are considered as the master unit and the slave unit respectively in the microgrid. Moreover, since the grid codes demand the DGs to have the low-voltage ride through (LVRT) ability to help sustaining the stability of power system especially during the grid faults, the reactive power control should respond immediately during the grid faults according to the grid codes. Thus, for the purpose of improving the reactive power control in grid-connected microgrid and the transient response of microgrid during the switching between the grid-connected mode and islanding mode, an online trained recurrent wavelet fuzzy neural network (RWFNN) is proposed to replace the conventional proportional-integral (PI) controller in the storage system. Excellent control performance of the grid-connected microgrid with virtual inertia using the proposed intelligent RWFNN controller can be verified via some simulation results.
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