Adaptive hydrogen fuel cell vehicle scheduling strategy based on traffic state assessment in power-transportation coupled networks

• A comprehensive evaluation index is proposed by utilizing hyper box and hyper ellipse theory. • Developed an adaptive HFCV scheduling model to reduce traffic congestion time by 23.64 %. • Integrated the MMG system and transportation network for optimization. • Enhances power distribution network load balance. As the global demand for energy increases and the transition to renewable and clean sources accelerates, microgrid (MG) has emerged as a promising solution. Hydrogen fuel cell vehicles (HFCVs) offer significant advantages over gasoline vehicles in terms of reducing carbon dioxide emissions. However, the development of HFCVs is hindered by the substantial up-front costs of hydrogen refueling stations (HRSs), coupled with the high cost of hydrogen transportation and the limitations of the hydrogen supply chain. This research proposes a multi-microgrid (MMG) system that integrates hydrogen energy and utilizes it as the HRS for fuel vehicle refueling. An adaptive hydrogen energy management method is employed for fuel cell vehicles to optimize the coupling between the transportation network and the power system. An integrated transportation state assessment model is developed, and a smart MMG system is deployed to receive information from the transportation network. Building on this foundation, an adaptive hydrogen scheduling model is developed. HFCVs are influenced by the hydrogen price adjustments, leading them to travel to different MGs for refueling, which in turn regulates the unit output of the MMG system. The MMG system is then integrated with the IEEE 33 bus distribution system to analyze the daily load balance. This integrated approach results in reduced traffic congestion, lower MG costs, and optimized power distribution network load balance.