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含多电解槽的新能源制氢能量管理优化

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新能源制氢系统是提升风能、太阳能等新能源消纳的有效途径.目前国内外关于电解槽能量管理的研究以单电解槽为主.单电解槽能量管理未考虑电解槽非线性的工作特性,难以兼顾多个电解槽制氢效率,影响系统经济性.文中针对含有多电解槽的新能源制氢系统的能量管理问题进行了研究,以新能源消纳率、经济收益、制氢率为目标,考虑单个电解槽运行特性以及生产约束条件,建立包含风电、光伏、蓄电池、多电解槽的能量管理优化模型,并采用强度Pareto进化算法 2(strength Pareto evolutionary algorithm 2,SPEA2)求解多目标优化问题.仿真研究表明,文中所提能量管理策略能够实现新能源发电的 100%消纳,单位制氢收益可提升 5.15%.因此,对多电解槽制氢系统进行有效的能量管理有助于提高制氢效率,可有效克服单电解槽运行及能量管理的不足.
Energy management optimization of new energy hydrogen production system including multi-electrolyzers
The utilization of a new energy hydrogen production system is an effective approach to enhance the absorption capacity of renewable energies such as wind and solar power.The current research on energy management of electrolyzer,both domestically and internationally,primarily focuses on single-electrolyzer.The energy management of single-electrolyzer fails to account for the nonlinearity in its operational characteristics,thereby posing challenges in considering the hydrogen production efficiency of multi-electrolyzers and its impact on system economics.The present study focuses on the energy management of a novel hydrogen production system incorporating multi-electrolyzers.The energy management optimization model incorporates wind power,photovoltaic systems,batteries,and multiple electrolyzers to achieve targets for new energy consumption rate,economic income,and hydrogen production rate.Taking into account the operational characteristics of a single electrolyzer and production constraints,the multi-objective optimization problem is solved by strength Pareto evolutionary algorithm 2(SPEA2).The simulation research demonstrates that the proposed energy management strategy can achieve a 100%absorption rate of newly generated power from renewable sources,while simultaneously increasing the hydrogen production efficiency per unit by 5.15%.The effective management of energy in a multi-electrolyzers hydrogen production system is crucial for enhancing the efficiency of hydrogen production and effectively addressing the limitations associated with single-electrolyzer operation and energy management.

multi-electrolyzersenergy managementhydrogen production benefitnew energy hydrogen production systemstrength Pareto evolutionary algorithm 2(SPEA2)grid connection

陈磊磊、年珩、赵建勇、范彩兄、周军、石生超

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浙江大学电气工程学院,浙江 杭州 310027

杭州电子科技大学信息工程学院,浙江 杭州 311305

国网青海省电力公司电力科学研究院,青海 西宁 810003

多电解槽 能量管理 制氢收益 新能源制氢系统 强度Pareto进化算法2(SPEA2) 并网场景

国家自然科学基金浙江省教育厅一般科研项目浙江省教育厅一般科研项目国家电网青海省电力公司科技项目

51977194Y202044527Y202250621522807220002

2024

10.12158/j.2096-3203.2024.02.001

电力工程技术
江苏省电力公司 江苏省电机工程学会

电力工程技术

CSTPCD北大核心
影响因子：0.969
ISSN：2096-3203
年,卷(期)：2024.43(2)
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