TY - GEN
T1 - Microgrid Communication Network Optimization During Disaster Relief
T2 - 26th International Conference on Industrial Technology (ICIT 2025)
AU - Tian, Hengrui
AU - Joshi, Aditya
AU - Chow, Mo-Yuen
AU - Zhou, Jin
AU - Chen, Guanrong
PY - 2025
Y1 - 2025
N2 - After disasters, power is urgently needed especially for medical facilities. However, power systems as well as communication systems could be severely damaged during disasters. Thus, power restoration with limited communication resources is a critical task during disaster relief. In this paper, a novel strategy is proposed for communication network optimization in microgrid energy management system (EMS). It applies connectivity rank index (CRI) to measure the importance of edges. The proposed strategy aims to achieve fast response of energy management using least communication resources in disaster relief processes. It relies on CRI to identify redundant edges and removes them from the original network one after another iteratively. Numerical simulations were performed on a 14-node system. Results show that the convergence speed is increased by 79.12% and the communication efficiency is increased by 14.98%, demonstrating the effectiveness of the proposed strategy. © 2025 IEEE.
AB - After disasters, power is urgently needed especially for medical facilities. However, power systems as well as communication systems could be severely damaged during disasters. Thus, power restoration with limited communication resources is a critical task during disaster relief. In this paper, a novel strategy is proposed for communication network optimization in microgrid energy management system (EMS). It applies connectivity rank index (CRI) to measure the importance of edges. The proposed strategy aims to achieve fast response of energy management using least communication resources in disaster relief processes. It relies on CRI to identify redundant edges and removes them from the original network one after another iteratively. Numerical simulations were performed on a 14-node system. Results show that the convergence speed is increased by 79.12% and the communication efficiency is increased by 14.98%, demonstrating the effectiveness of the proposed strategy. © 2025 IEEE.
KW - Disaster relief
KW - Energy Management System
KW - Network optimization
UR - https://www.scopus.com/pages/publications/105004169643
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105004169643&origin=recordpage
U2 - 10.1109/ICIT63637.2025.10965235
DO - 10.1109/ICIT63637.2025.10965235
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 979-8-3315-2196-7
T3 - Proceedings of the IEEE International Conference on Industrial Technology
BT - 2025 IEEE International Conference on Industrial Technology (ICIT)
PB - IEEE
Y2 - 26 March 2025 through 28 March 2025
ER -