This presentation will outline a novel architecture for managing flexible and resilient microgrids using semantic knowledge graphs to abstract and coordinate distributed energy resources (DERs). 

In contrast to traditional control hierarchies that require detailed knowledge of individual DER types, this architecture models each DER as a node defined by its electrical capabilities—capacity, duration, ramp rate, and tail-off characteristics—rather than its underlying technology. By leveraging a recursive structure of Virtual Top Nodes (VTNs) and Virtual End Nodes (VENs), the system facilitates scalable, localized decision-making where each node needs only to communicate with its immediate neighbors. 

Knowledge graphs are used to encode semantic relationships between resources, enabling dynamic reconfiguration and self-healing behavior when segments of the grid become islanded. Communication is handled using standards such as OpenADR 2.0b and the Common Information Model (CIM), ensuring interoperability across diverse equipment and vendors. 

This presentation will demonstrate how this novel architecture supports event-driven control, DER dispatch, and real-time adaptability, laying the foundation for resilient, cyber-aware, and future-ready distribution systems.