Resilience Constrained Scheduling of Mobile Emergency Resources in Electricity-Hydrogen Distribution Network

This paper proposes a trilevel mixed-integer formulation to coordinately schedule the electricity-hydrogen distribution network (EHDN) with resilience consideration. The rescue hydrogen distribution system is first studied and modeled based on the roadway transportation and vehicle-to-grid power supply of mobile hydrogen energy resources (MHERs). Various practical constraints on traffic capacity, travel distances and time delaying of hydrogen transportation are incorporated. Then, to improve the economic viability of EHDN to fulfill the load survivability requirement in disastrous situations, we propose a risk-constrained trilevel optimization formulation. In particular, the resilience constraint with a $\min -\max$ mixed-integer program structure is introduced, which ensures the post-event service preservation by co-optimizing the re-routing of MHERs and network reconfiguration under worst-case damage scenario. Then, by making use of its structural properties, this complex formulation is solved by a customized nested column-and-constraint generation (NC&CG) algorithm with effective enhancements. Numerical results on an exemplary EHDN indicate that the proactive deployment and adaptive relocation of MHERs provide an economically feasible solution to achieve grid resiliency target. Also, comparing to the standard NC&CG, our improved customization demonstrates a superior performance that drastically reduces the computation time, and thus enables efficient emergency response and disaster relief with synergistic network operations.