TY - JOUR
T1 - Optimal Network Reconfiguration and Scheduling with Hardware-in-the-Loop Validation for Improved Microgrid Resilience
AU - Chen, Yang
AU - Olama, Mohammed
AU - Ferrari, Maximiliano
AU - Liu, Guodong
AU - Shi, Qingxin
AU - Sundararajan, Aditya
AU - Park, Byungkwon
AU - Massol, Arturo
AU - Ollis, Thomas B.
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2025
Y1 - 2025
N2 - With the increased occurrence of various major extreme weather events, power outages and prompt power system restorations have recently drawn more attention to resilience and recovery of power systems. From the perspective of a more resilient power delivery at the distribution grid, system restoration using network topology reconfiguration together with optimal scheduling of distributed energy resources are adopted in this paper. The proposed optimization model aims at minimizing the total load shedding cost and other operational costs, in which linearized topological constraints borrowed from graph theory and linearized DistFlow models are respectively used to maintain the radial network topology and power flow balance after system contingencies. To demonstrate the applicability of the proposed strategy, a real-world case study of a networked three-microgrid system in Adjuntas, Puerto Rico, is used with the consideration of different independent/interconnected microgrid scenarios, contingencies, and fairness settings. Furthermore, hardware-in-the-loop testing is also conducted for the same three-microgrid network, where the closely matched results with the simulated ones have validated the effectiveness of the proposed restoration strategy, which is now ready to move one step forward towards field deployment.
AB - With the increased occurrence of various major extreme weather events, power outages and prompt power system restorations have recently drawn more attention to resilience and recovery of power systems. From the perspective of a more resilient power delivery at the distribution grid, system restoration using network topology reconfiguration together with optimal scheduling of distributed energy resources are adopted in this paper. The proposed optimization model aims at minimizing the total load shedding cost and other operational costs, in which linearized topological constraints borrowed from graph theory and linearized DistFlow models are respectively used to maintain the radial network topology and power flow balance after system contingencies. To demonstrate the applicability of the proposed strategy, a real-world case study of a networked three-microgrid system in Adjuntas, Puerto Rico, is used with the consideration of different independent/interconnected microgrid scenarios, contingencies, and fairness settings. Furthermore, hardware-in-the-loop testing is also conducted for the same three-microgrid network, where the closely matched results with the simulated ones have validated the effectiveness of the proposed restoration strategy, which is now ready to move one step forward towards field deployment.
KW - Distribution System
KW - Grid Resilience Enhancement
KW - Grid Restoration
KW - Hardware-in-the-Loop Testing
KW - Network Topology Reconfiguration
KW - Networked Microgrid
KW - Optimal Asset Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85214530845&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2025.3527329
DO - 10.1109/ACCESS.2025.3527329
M3 - Article
AN - SCOPUS:85214530845
SN - 2169-3536
JO - IEEE Access
JF - IEEE Access
ER -