Enhanced Space-State Reduced-Order Microgrid Model in Common DQ-Reference Frame

Inverter-based droop-controlled microgrids systems are becoming attractive solutions to meet future energy demand in a sustainable way. The development of accurate models is crucial for control loops design and performance assessment of the system. However, extracting essential information about the overall microgrid behavior from complete models can be a hard task, as well as can involve a high computational burden depending on the microgrid size. Therefore, the development of a reduced-order model that properly represents the dynamic performance of the microgrid in a computationally efficient way is mandatory. In this paper, an enhanced reduced-order model able to represent the influence of network dynamics on the performance of the droop-controlled microgrid is presented. By means of simulation results the fidelity improvement of the proposed microgrid model is confirmed.