计 及 电 解 槽 动 态 安 全 约 束 的 氢 能 微 电 网 容 量 配 置

The hydrogen energy microgrid achieves effective accommodation of renewable energy through hydrogen energy storage and can mitigate the impact of renewable energy fluctuations on the power grid, which is the key technical pathway to support the high-proportion integration of renewable energy into the grid. To improve the utilization efficiency of renewable energy and achieve economic operation of the system, it is necessary to optimize the capacity allocation of hydrogen energy microgrids, reasonably planning the power capacities of electrolyzers, hydrogen storage devices, electrical energy storage systems, and fuel cells based on the output characteristics of renewable energy. To this end, an optimization model for capacity allocation with economic objectives is constructed, and Benders decomposition is employed to divide it into two stages: the first stage involves capacity allocation, while the second stage performs optimal scheduling based on the given equipment capacities. To ensure the safe operation of electrolyzers, dynamic safety constraints for electrolyzers are introduced in the second-stage scheduling optimization, replacing the traditional constant load lower constraints. Simulation results demonstrate that, by incorporating dynamic safety constraints in advance during the planning stage, this method can generate capacity allocation schemes that are more conducive to the safe operation of microgrids, providing the necessary hardware foundation and capability guarantees for system safety. Additionally, sensitivity analysis results indicate that the nonlinear hydrogen production characteristics of electrolyzers have a significant impact on the overall profitability of hydrogen energy microgrids.