
Online First:05 March 2026,
Published:05 March 2026
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张兴豪, 许传博. 风光多频尺度波动下多类型电解协同的电-氢混合储能系统两阶段运行优化[J]. 2026, 47(2): 702-713.
张兴豪, 许传博. 风光多频尺度波动下多类型电解协同的电-氢混合储能系统两阶段运行优化[J]. 2026, 47(2): 702-713. DOI: doi:10.19912/j.0254-0096.tynxb.2024-1817.
针对风光发电的波动性
提出一种包含超级电容和碱性/质子交换膜电解制氢的混合储能系统两阶段优化模型。首先
通过经验模态分解对风光发电原始功率信号进行分解
并根据并网功率限值重构得到多频尺度波动分量。随后
在第一阶段提出多类型电解功率分配策略
从而构建包含平准化制氢成本和弃风弃光率的多目标容量规划模型
采用改进非支配排序遗传算法进行求解。接着
第二阶段以综合成本最小为目标构建运行优化模型
通过Gurobi进行求解。实际案例结果显示:相较于单一碱性电解槽与单一质子交换膜电解槽系统
本文所提系统在并网波动功率超标量上分别减少了 35.15% 和 20.15%
波动惩罚成本分别降低了 9.7% 和 1.04%;同时
其平准化制氢成本较单一质子交换膜系统降低 39.89%
弃风弃光率减少 20.15%。
This study addresses the variability of wind and photovoltaic power generation by proposing a two-stage optimization model for a hybrid energy storage system that includes supercapacitors and alkaline/proton exchange membrane hydrogen production. Initially
the raw power signals of wind and solar power are decomposed using empirical mode decomposition and reconstructed into multi-frequency scale fluctuations based on grid-connected power limits. Subsequently
in the first stage
a multi-type electrolysis power allocation strategy is proposed to construct a multi-objective capacity planning model that includes the levelized cost of hydrogen production and the rate of wind and solar power curtailment
which is solved using an improved non-dominated sorting genetic algorithm. Then
in the second stage
an operational optimization model is constructed to minimize the comprehensive cost
which is solved using Gurobi. Actual case results demonstrate that
compared to standalone alkaline electrolyzer and standalone proton exchange membrane electrolyzer systems
the system proposed in this study reduces the exceedance of grid-connected fluctuating power by 35.15% and 20.15%
respectively
and lowers the fluctuation penalty cost by 9.7% and 1.04%
respectively. Additionally
its levelized cost of hydrogen is 39.89% lower than that of the standalone proton exchange membrane system
and the curtailment rate of wind and solar power is reduced by 20.15%.
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