Optimal scheduling of electric-hydrogen hybrid shared energy storage system considering seasonal time scale

The high proportion of renewable energy poses significant challenges to power grid stability across multiple temporal scales. To solve the multi-time scale power imbalance problem in areas with abundant clean energy, this paper develops a seasonal and short-term electric-hydrogen hybrid shared energy storage (EHHSES) scheduling method in generation side. Firstly, a seasonal operation model of hydrogen energy storage (HES) based on the seasonal output characteristics of hydroelectric power is established. Secondly, a coupled operation mechanism of EHHSES is proposed. Then, the long-term optimal scheduling of the hydro-photovoltaic-storage combined power generation system is carried out considering the seasonal power balance, and the annual operation plan is developed, which is regarded as the boundary condition of short-term optimal scheduling. In order to deal with the uncertainty of renewable energy output, a look-ahead day-ahead optimization scheduling method considering the constraints of weekly plan was proposed, and the daily operation plan of the week was dynamically adjusted, taking into account the operating characteristics of the hydrogen electrolyzer under varying working conditions and the optimal control strategy of the array, so as to further improve the economic benefits of the system. Finally, the results of the case study using actual data from a region in southwest Zhejiang Province shows that the multi-time scale optimization scheduling method proposed in this paper can effectively cope with the output fluctuations of renewable energy sources such as hydropower and photovoltaic on different time scales, and improve the annual operating income of the combined power generation system.