Distributed Secondary Voltage Control of Islanded Microgrids Based on RBF-Neural-Network Sliding-Mode Technique

Abstract

The secondary voltage control problem of inverter-based islanded microgrid (MG) is proposed in this paper. First, the dynamics of the distributed generation (DG) with primary control is analyzed and modeled. Then, an RBF-neural-network (RBF-NN) sliding-mode controller is designed to eliminate the voltage deviation caused by primary control. The output voltage of all DGs can restore to a reference value and remains stable. Finally, taking an MG consisting of four DGs as an example, the experimental results validate the designed secondary control strategy.