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Change in hydrogen production efficiency is considered to optimize the configuration of the hydrogen energy system. A bi-level mixed integer linear programming model is proposed to plan the optimal capacity of hydrogen energy system. A data-driven surrogate algorithm for solving the bi-level mixed integer linear programming model is proposed.
Literature builds a typical wind and solar hydrogen storage capacity configuration model based on wind energy, solar photovoltaic, electric energy storage, and hydrogen production equipment, Then establishes a demand response model of day-ahead segmented electricity price load to reduce the total cost of running the system.
Before the optimal configuration of the hydrogen energy storage system, a variance of the output power of the whole system was 9171.78 kW 2. After the optimal configuration, the variance of the whole system’s output power is 6582.22 kW 2, with an obvious decrease in the fluctuation of the output power.
The 0-A region represents the supplementary power region where the fuel cell of the hydrogen energy storage system discharges to supplement wind power and photovoltaic power, thus achieving the function of “valley filling” for the system power.
Finally, microgrids are the mainstream of future power system construction and capacity allocation and scheduling issues are important directions for power system research. This paper lays the foundation for future research on multi microgrid scheduling optimization and hydrogen energy storage configuration applications. 2. Model building 2.1.
High cost is the main obstacle to hydrogen energy storage configuration. Hydrogen energy storage is an important direction for future energy development.
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