Study on Energy Management of Electric-Hydrogen Integrated Energy System Based on SOEC

With the rapid development of China's renewable energy industry, the total installed capacity of renewable energy has increased year by year. However, the intermittency and fluctuations of solar and wind energy have made the problem of wind and solar power curtailment increasingly prominent. Hydrogen energy storage, due to its high energy density, is suitable for large-scale and long-term energy storage and has been widely used in peak shaving and valley filling of power grids in recent years. SOEC has broad application prospects due to its advantages such as no need for precious metal catalysts and high conversion efficiency. To this end, this paper constructs an electric-hydrogen integrated energy system based on SOEC, and models SOEC, photovoltaic panels, wind turbines, battery energy storage systems and hydrogen storage tanks respectively. In order to maintain the stable operation of the system and improve its economy, this paper aims to minimize the operating cost of the system and proposes an energy management strategy based on the quantum particle swarm optimization algorithm (QPSO). Finally, a case analysis was conducted in a certain area of Inner Mongolia, China. Compared with the traditional particle swarm optimization algorithm, the daily revenue of the QPSO algorithm increased by 3,133 yuan, growing by 9.96 %.