A novel co-simulation framework for integrated distribution system modelling and AI technologies
In recent years, energy regulations, environmental policies, and technology advances have driven a significant rise in the penetration level of distributed energy resources (DERs) in distribution systems, including solar photovoltaic panels (PV), energy storage systems, electrical vehicles, etc. These transitions have brought various challenges to utilities, e.g., reverse power flow, over-voltage profiles, etc. Meanwhile the modern grid digitalization, along with the proliferation of IoT devices in energy grid is expected to generate a vast amount of data, which provide various new application opportunities for grid automation, especially those AI-based technologies.