Research on Scheduling Optimization of New Energy Based Hydrogen Production Using Improved Seagull Algorithm

In allusion to the energy management and optimal operation of new energy based hydrogen production system containing wind, photovoltaic (abbr. PV) and energy storage, a multi-objective optimal dispatching method, by which both economy and power supply reliability could be considered, was proposed. A mathematical model of new energy based hydrogen production system, which contained the wind turbine, the PV power generation, the proton exchange membrane electrolyzer, the alkaline electrolyzer and the energy storage device, was analyzed and constructed. Taking comprehensive daily operating cost and reliability cost as optimization objective, in which the income of selling hydrogen was brought into daily operating cost of the system, an operation and control strategy was formulated and a dispatching plan of different electrolytic cells and energy storage devices was solved by the improved seagull optimization algorithm (abbe. SOA). Analysis on computing example showed that the improved SOA possessed such characteristics as strong global searching ability, not easy falling into local optimum, high convergence accuracy, strong robustness and so on, thus the economy and reliability of system operation could be effectively improved. Results of contrast experiment show that the proposed method is effective.