Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products

Abstract

The accessible and convenient hydrogen supply is the foundation of successful materialization for hydrogen-powered vehicles (HVs). This paper proposes a novel optimal scheduling model for gaseous-liquid hydrogen generation and storage plants powered by renewable energy to enhance the economic feasibility of investment. The gaseous-liquid hydrogen generation and storage plant can be regarded as an energy hub to supply concurrent service to both the transportation sector and ancillary market. In the proposed model, the power to multi-state hydrogen (P2MH) process is analyzed in detail to model the branched hydrogen flow constraints and the corresponding energy conversion relationship during hydrogen generation, processing, and storage. To model the coupling and interaction of diverse modules in the system, the multi-energy coupling matrix is developed, which can exhibit the mapping of power from the input to the output. Based on this, a multi-product optimal scheduling (MPOS) algorithm considering complementarity of different hydrogen products is further formulated to optimize dispatch factors of the energy hub system to maximize the profit within limited resources. The demand response signals are incorporated in the algorithm to further enhance the operation revenue and the scenario-based method is deployed to consider the uncertainty. The proposed methodology has been fully tested and the results demonstrate that the proposed MPOS can lead to a higher rate of return for the gaseous-liquid hydrogen generation and storage plant.

Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response

“…While the first two problems have been addressed with similar approaches in the literature, a better approach for the third problem remains a topic of investigation. Research studies [17,18] suggest methanation as a viable solution for the preparation of natural gas, liquid hydrogen, and other gas and liquid forms. Great research prospects lie in modeling the entire industry chain of hydrogen energy generation, handling, storage, and transportation, as well as maximizing revenue through the synergy and complementarity of different forms of hydrogen energy.…”

Research on optimal configuration of park-level multi-energy complementary system with multiple evaluation indexes

“…In reference (Wang et al, 2021b), an optimal scheduling model was proposed for wind power, photovoltaic, hydropower, thermal power, and outsourced power generation systems, with the minimum economic cost of thermal power generation as the objective function, including a complementary system of wind power, photovoltaic, hydropower, and thermal outsourced power. In reference (Zhang et al, 2023a), an energy hub (EH) model including energy storage systems and integrated electric vehicles (EVs) was established. Based on this model, the impact of the pollutant trading market on total operating costs was analyzed, and further optimization scheduling strategies were proposed to achieve the minimum purchase cost and emission tax cost of MES.…”

“…Based on this model, the impact of the pollutant trading market on total operating costs was analyzed, and further optimization scheduling strategies were proposed to achieve the minimum purchase cost and emission tax cost of MES. In reference (Zhang et al, 2023a), a multi product optimal scheduling algorithm considering the complementarity of different hydrogen products is proposed to optimize the scheduling factors of the energy hub system and achieve Profit maximization within the limited resource range. In reference (An et al, 2020), an optimization scheduling model was established with the goal of minimizing output power fluctuations, considering multiple power supply constraints.…”