Hydrogen-Storage-and-Delivery Microgrid Scheduling Based on an Optimal-Distance Matrix

To address the demand for long-duration, large-capacity, and zero-carbon energy storage in microgrids, this paper constructs an integrated hydrogen storage and transportation framework. By establishing a three-node coupling model and incorporating an optimal distance matrix, transportation paths are rapidly identified. A two-stage robust optimization method is employed to co-optimize hydrogen storage levels and transportation routes, effectively managing source-load uncertainties. Simulation results demonstrate that this scheme significantly enhances renewable energy complementarity between microgrids, reduces the power curtailment rate from 23.9% to 11.6%, and effectively avoids empty trips, thereby minimizing hydrogen transportation mileage.