Design and Modeling of Smart Intellegent Converters in Super Smart Grids

The foundation of smart microgrid DC topologies are EPCs, or electrical converters of power. Most of the components are intended to be linked to the various busses via EPCs in order to improve the system's autonomy. Thus, the behavior of all EPCs and their control loops determines the microgrid's electrical supply, peace of mind, the dynamic responsiveness. Furthermore, because of the significant degree of unpredictability in their operating circumstances brought about by the intermittent nature of renewable sources of energy and user utilization of energy, DC micro grids represent an innovative model in energy distribution networks. Moreover, the power converters might alter their mode of operation in order to cope with this unpredictability, which complicates the system's fluidity and evaluation of stability. A brief description of the many quantitative experimental blackbox is modeling techniques used with smart DC micro/nanogrids is provided in this work. A study of several nonlinear as well as linear modeling techniques is conducted, outlining both their advantages and disadvantages. Lastly, using illustrated instances, distinctions between blackbox architectures will be shown.