Multi-objective Optimization Scheduling Strategy Research for Integrated Energy Systems Based on Solid Oxide Electrolysis Cell Stations

During the heating season, to mitigate the inherent volatility of renewable energy inputs within such combined heat and power frameworks, proposed an innovative operational strategy incorporating solid oxide electrolyzer cells (SOEC) to absorb fluctuations in wind energy production. Grounded in empirical data, computational analyses are conducted, considering electrochemical storage attributes, varying electric and thermal loads, and preconditions for electrolytic hydrogen synthesis. Accordingly, operational optimization focuses on cost minimization as the overarching objective function, a computational model is formulated to guide optimal resource allocation in an integrated energy system, encompassing wind turbines, combined heat and power setups, natural gas boilers, and other related equipmeng. This model proficiently dampens the fluctuations arising from renewable energy sources without necessitating significant investments in expensive storage technologies. This strategy not only elevates the cleanliness of combustion processes but also yields a more controllable cost structure, the efficacy of which has been substantiated through case study analysis.