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风储耦合多碱性电解制氢功率-状态滚动优化控制OA

Power-state Rolling Optimization Control of Wind Turbine and Energy Storage Coupled Multi-alkaline Electrolysis Hydrogen Production

中文摘要英文摘要

针对风储氢耦合系统运行中面临的电解制氢多机协同动态适应性差、效率与经济效益低下等问题,提出一种三阶段多机功率-状态滚动优化控制(power-state rolling optimization control,PROC)策略.首先,在第1阶段提出基于经验模态分解(empirical mode decomposition,EMD)的电池储能风电功率平滑策略,以提升电解制氢系统运行平稳性;其次,基于平滑后的风电功率,在第2阶段提出考虑系统风电弃用和机组启停次数最小、产氢量最大、运行时间和波动功率承载量均一化的多机协同优化模型,以优化制氢机组功率分配;然后,基于制氢机组功率与运行状态,在第3阶段提出碱性电解制氢机组冷启动过程与待机、停机工作状态修正策略,制定系统最优生产计划;最后,通过日算例和年算例与传统策略的对比分析,验证所提方法的有效性和在风电利用、机组启停次数和运行均衡性、系统效率及经济性方面的优越性.

To address the issues of poor dynamic adaptability in multi-unit coordination during electrolytic hydrogen production,as well as low efficiency and economic performance in the operation of wind-energy storage-hydrogen coupled systems,this paper proposes a three-stage power-state rolling optimization control strategy.First,in the initial stage,this paper develops a battery wind power smoothing strategy based on empirical mode decomposition to enhance the operational stability of the hydrogen production system.Second,based on the smoothed wind power,a multi-unit collaboration optimization model is developed in the second stage,aiming to minimize wind power curtailment,reduce the frequency of unit startups and shutdowns,maximize hydrogen production,and equalize operating time and power fluctuation carrying capacity,thereby optimizing the power distribution among hydrogen production units.In the third stage,correction strategies for the cold start process,standby,and shutdown operating states of the alkaline electrolysis unit are presented,and the optimal production plan for the system is formulated.Finally,through comparative analysis of daily and annual case studies with traditional strategies,the proposed method's effectiveness and superiority are validated in terms of wind power utilization,unit startup and shutdown frequency,operational balance,system efficiency,and economic performance.

王士博;孔令国;张珣;徐桂芝;田杨进;穆晨旭;刘闯;蔡国伟

现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012先进输电技术国家重点实验室(中国电力科学研究院有限公司),北京市 昌平区 102209现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012无锡隆基氢能科技有限公司,江苏省无锡市 214112现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012

信息技术与安全科学

风电碱性电解水制氢多机协同滚动优化

wind poweralkaline water electrolysis hydrogen productionmulti-unit collaborationrolling optimization

《中国电机工程学报》 2026 (12)

4986-5000,中插13,16

国家自然科学基金项目(52377170).Project Supported by National Natural Science Foundation of China(52377170).

10.13334/j.0258-8013.pcsee.250041

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