Optimal Scheduling of Electricity-hydrogen-heat Integrated Energy System Considering Combined Operation of Multi-electrolyzers Under Multiple Conditions

Producing hydrogen through water electrolysis using renewable energy is a key technology to achieve energy transformation and electricity decarbonization. However, power fluctuation and frequent start-stop are major factors causing the operating life decay of alkaline electrolyzer. Therefore, based on the analysis of the operation characteristics of the electrolyzer monomer, an optimal scheduling model of the electricity-hydrogen-heat integrated energy system considering the combined operation of multi-electrolyzers under multiple operating conditions is proposed. A two-stage robust scheduling model is established to deal with the working mode switching of the electrolyzer and energy storage system during the real-time scheduling stage caused by wind power uncertainty, which is solved by the nested column and constraint generation algorithm. The simulation experiments are carried out under four different scenarios, and the results show that considering the flexible combination of multi-electrolyzers and the rapid switching of operating conditions during the real-time scheduling stage can improve the operational economy of the system and effectively alleviate the degradation of operating life caused by the power fluctuation of the electrolyzer.