After disasters, restoring power to critical facilities is urgent, but damage to both power and communication networks complicates recovery. To address this, we applied edge centrality metrics, showing that the Connectivity Rank Index (CRI) effectively measures link importance in distributed structures. We proposed a CRI-based network optimization strategy through pruning and defined a variant, Local-CRI, to assess link failure impact in hierarchical systems.
Future work will integrate edge centrality metrics with power system constraints, providing a quantitative tool to design more efficient and resilient communication networks for microgrids in disaster relief.
Publications:
[1] H. Tian, A. Joshi and M. -Y. Chow, “Impact of Communication Link Failures on Distributed Energy Management in Disaster Relief Microgrids,” IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society, Madrid, Spain, 2025, pp. 1-6.
[2] H. Tian, A. Joshi, M.-Y. Chow, J. Zhou, and G. Chen, “Microgrid communication network optimization during disaster relief: A connectivity rank index based approach,” in 2025 IEEE International Conference on Industrial Technology (ICIT), 2025, pp. 1 – 6.
