In this study, the utilization of renewable energy sources (RESs) like wind energy for clean hydrogen production via water electrolysis in small-scale decentralized plant is addressed. This paper proposes an approach for multi-objective optimization of wind-hydrogen production system (WHPS) while satisfying multiple technical constraints based on a dynamic power and hydrogen management strategy (PHMS). WHPS consists of wind turbines (WTs), water electrolyzer, battery bank, power converters and hydrogen tank. Multi-objective optimization consists of minimizing the total hydrogen deficit (THD), energy dump possibility (EDP), levelized cost of hydrogen (LCOH) as well as CO₂ emission avoided (CO2EA) and natural gas preserved (NGP). Battery assistance for electrolyzer is enhanced through a dynamic PHMS adapted to low wind speed conditions. PHMS based multi-objective optimization algorithm is developed to find Pareto-optimal solutions. The optimization results reveal that the adequate design of PHMS plays a crucial role in minimizing THD, LCOH and EDP, while ignoring the EDP objective may reduce potentially LCOH. Under the selected base case conditions, small-scale hydrogen production via WHPS consisting of 250 kW alkaline-electrolyzer, 857.5 kW WTs, 719 kW h battery bank and 2022 kg hydrogen tank, for supplying hydrogen demand at full reliability (THD = 0%), results in LCOH of 33.70 $/kg, CO2EA of 87.75 ton/year, NGP of 28.96 ton/year and EDP of 9.96%.

在这项研究中，解决了在小型分散式工厂中利用可再生能源（RESs）（例如风能）通过水电解通过清洁电解生产氢气的问题。本文提出了一种基于动态功率和氢管理策略（PHMS）的风目标系统，同时满足多个技术约束的风氢生产系统（WHPS）的多目标优化。WHPS由风力涡轮机（WTs），水电解槽，电池组，电源转换器和氢气罐组成。多目标优化包括最小化总氢缺乏量（THD），能量倾倒可能性（EDP），均等化氢成本（LCOH）以及CO ₂避免排放量（CO2EA）和保存的天然气（NGP）。通过适用于低风速条件的动态PHMS增强了用于电解池的电池辅助功能。开发了基于PHMS的多目标优化算法，以找到Pareto最优解。优化结果表明，PHMS的适当设计在最小化THD，LCOH和EDP方面起着至关重要的作用，而忽略EDP目标可能会降低潜在的LCOH。在选定的基本条件下，通过WHPS进行小规模制氢，包括250 kW碱性电解槽，857.5 kW WT，719 kW h电池组和2022 kg氢气罐，以完全可靠的方式提供氢气需求（THD = 0％） ，则LCOH为33.70 $ / kg，CO2EA为87.75吨/年，NGP为28.96吨/年，EDP为9.96％。