ROBUSTNESS ANALYSIS AND OPTIMIZATION OF COUPLED POWER AND COMMUNICATION NETWORKS BASED ON NETWORK MOTIFS PARTITIONING MECHANISM

The smart grid, composed of the power grid and communication networks, is formed through a complex interplay between intelligent power grid technology's high-reliability operation and monitoring and control. This interaction necessitates that both systems provide electrical energy to one another. Constructing a power grid model, we apply the Louvain algorithm to detect and divide its network motif structure. Subsequently, dividing the communication network into access, backbone, and core layers is done. The partitioning mechanism with motifs maps the physical topological layout into the virtual space to create a new coupling model integrating the power and information flow. We propose a new motif-based robust optimization algorithm - MROA. By using MROA, the network robustness is evaluated and optimized. Simulation analysis was employed to validate the efficacy and practicality of this proposed strategy for analyzing and optimizing the coupled network based on its motif composition.