Robust-based Scheduling Strategy for Fuel Cell Hybrid Electric Vehicles Amidst Extreme Cases

Abstract

Hydrogen has been advocated as a promising energy carrier to achieve a low-carbon transportation and energy (trans-energy) system, which can support the popularization of fuel cell hybrid electric vehicles (FCHEVs) while enhancing the flexibility of power grids. However, few existing references have well addressed the performance of dispatching FCHEVs amidst extreme cases. In this paper, we propose a robust optimization (RO)-based energy management strategy to hedge against the stochastic nature of vehicles and renewables. A detailed FCHEV model is established, and mileage is modeled as a function of the stored electricity and hydrogen mass. A robust scheduling framework is formulated, considering the worst case of various uncertainties in trans-energy systems. Case studies demonstrate that compared with traditional electric vehicles, FCHEVs can reduce the operating costs of trans-energy systems, while promoting the accommodation of renewables amidst extreme scenarios.