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The grid forming inverter (GFMI) is a promising solution for the challenges introduced to the electrical grid by the high penetration of the inverter-based resources (IBRs). In this paper, GFMI with a virtual oscillator based on Andronov-Hopf oscillator dynamics control is modeled and tested in the phasor domain using DIgSILENT environment. To further investigate the inverter performance and operation, it is implemented in the IEEE 13 node distribution feeder. The results show that the inverter has a superior performance and the ability to stabilize frequency and voltage during disturbances in both grid-connected and islanded modes.

Today, renewable energy and microgrids are a major part of the electrical grid. The power sharing between different distributed energy resources (DER) is one of the main concerns about microgrids. Droop control is widely used to achieve accurate power sharing. The droop control depends on local voltage and frequency measurement. To provide better droop control performance, especially with the low voltage cables this paper proposes, is to provide droop control with measurements from the point of common coupling (PCC) using a communication system. In the case of a failure or a delay in the communication system, a trained radial basis function neural network (RBFNN) would be used to recover the PCC measurement using DER local measurement. The microgrid simulations were conducted using DIgSILENT software. The RBFNN training and testing were built using MATLAB®.