Supervisory Controller for AC/DC Hybrid Microgrid Based on Solid-State Transformer

Power network reliability and safety are severely compromised by voltage fluctuations and power mismatches brought on by the dispersed, unpredictable, and intermittent nature of distributed energy resources as well as by variations in demand. In order to address this problem, this study presents the architecture of a Power Electronic Transformer- based AC/DC hybrid microgrid. Being capable of adequate control coordination ensures the system's steady and dependable functioning. To successfully reduce DC bus voltage fluctuations while scheduling power flow across energy storage, AC microgrid, DC microgrid, as well as solid- state transformers, an energy management technique is suggested. We provide a new adaptive droop control over energy storage that may maximize the economic value to customers while extending the life of supercapacitors. This droop coefficient can be determined using a fuzzy logic controller. It takes as input parameters the projected super capacitor charge state as well as unit-time electricity charge. The suggested energy management and control technique is validated via simulation. Key Words: hybrid micro grid, SST, Fuzzy logic control, ANN, Energy management strategy