热力发电2026，Vol.55Issue(3)：119-129,11.DOI:10.19666/j.rlfd.202504069
风光制氢混合电解槽双层优化调度策略
Double-layer optimal scheduling strategy for wind-solar hydrogen production hybrid electrolyzers
摘要
Abstract
As an important path for the combination of renewable energy and hydrogen energy,the technology coupling wind solar power with hydrogen production and storage through water electrolysis has shown great potential in energy transformation.However,large-scale grid-connected hydrogen production stations have problems such as uneven power distribution and insufficient consideration of the differences in response characteristics between alkaline and proton exchange membrane(PEM)electrolyzers.Therefore,this paper proposes an optimized scheduling strategy for the double-layer array of wind-solar hydrogen production hybrid electrolyzers.Firstly,with the goal of maximizing the net income of the system,a multi-time-scale optimization strategy is adopted to allocate the power of the wind and solar hydrogen production system.Secondly,considering the differences in hydrogen production efficiency and dynamic response characteristics between the alkaline and the PEM electrolyzers,optimal scheduling is performed for the array of alkaline and PEM hybrid electrolyzers.As a result,based on the two-layer optimization strategy,the ratio of the on-grid electricity generation to the power generation of the grid-connected wind and solar hydrogen production and storage system is infinitely close to the set value of 40%,and the comprehensive power curtailment rate is 1.89%,which greatly reduces the curtailment rate of wind and solar power in the system.The operational characteristics of the alkaline and PEM electrolyzers are fully utilized to achieve the full utilization of fluctuating renewable energy and enhance the stability and safety of the hydrogen production system operation.关键词
混合电解槽/优化调度/运行特性/功率分配Key words
hybrid electrolyzer/optimal scheduling/operation characteristics/power allocation引用本文复制引用
闫兆乾,罗蒙蒙,郝功涛,郑文广,王祎璇,钱坤,王清,程永林,魏雅娟..风光制氢混合电解槽双层优化调度策略[J].热力发电,2026,55(3):119-129,11.基金项目
浙江省博士后科学基金(366924) Zhejiang Provincial Postdoctoral Science Foundation(366924) （366924）
