Resiliency-oriented Scheduling of Multi-microgrids in the Presence of Fuel cell-based Mobile Storage Using Hybrid Stochastic-Robust Optimization

Zare, Kazem; Akbari-Dibavar, Alireza; Najafi Ravadanegh, Sajad; Vahidinasab, Vahid

Abstract

In modern power grids, the hydrogen carrier contributes substantially. Hydrogen-based fuel cell vehicles also draw a path to a more sustainable society. This paper addresses the potential of hydrogen systems in a renewable-dominant multi-microgrid system to increase resiliency. The fuel cell-based trucks carry battery storage and act as emergency resources. A hybrid stochastic-robust optimization is proposed to optimize the scheduling plan for resources. The uncertainty of renewable output is handled by adjustable robust optimization whereas traffic of roads has been modeled using stochastic programming by using a dummy nodes and arcs model. A fuel management scheme is proposed to adjust the hydrogen fuel
of the trucks. The results revealed that the corrective strategy, i.e., a combination of hydrogen facility and mobile storage improves the overall resiliency indexes. In this regard, the area covered under the
resiliency trapezoid increased up to 90% under the robust case. The critical load curtailment decreased from 38.65 MW to 30.08 MW under the risk-neutral case and from 50.78 MW to 42.17 MW under the riskaverse case. The system is stronger with the proposed corrective strategies and the ramp of resiliency fall has been decreased from 0.285 to 0.199 and from 0.382 to 0.293 under risk-neutral and risk-averse cases, respectively. Finally, the replacement of a hydrogen storage system with a stationary battery storage system
revealed that the stationary battery storage similarly reduces the load curtailment however the presence of hydrogen storage helps the MBS refueling which directly influences the load recovery performance.

• Journal Article Type: Article
• Acceptance Date: Apr 27, 2024
• Publication Date: 2024
• Deposit Date: Feb 19, 2025
• Journal: Journal of Energy Management and Technology
• Electronic ISSN: 2588-3372
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 4
• Pages: 307-321
• DOI: https://doi.org/10.22109/jemt.2024.441626.1487