杜逸云, 孟进洲, 杨欣, 李标, 程林生, 胡伟. 适用于离网型新能源制氢系统的储能规模优化方法研究[J]. 动力工程学报, 2025, 45(3): 452-463. DOI: 10.19805/j.cnki.jcspe.2025.240131
引用本文: 杜逸云, 孟进洲, 杨欣, 李标, 程林生, 胡伟. 适用于离网型新能源制氢系统的储能规模优化方法研究[J]. 动力工程学报, 2025, 45(3): 452-463. DOI: 10.19805/j.cnki.jcspe.2025.240131
DU Yiyun, MENG Jinzhou, YANG Xin, LI Biao, CHENG Linsheng, HU Wei. Research on Energy Storage Scale Optimization Method for Off Grid New Energy Hydrogen Production Systems[J]. Journal of Chinese Society of Power Engineering, 2025, 45(3): 452-463. DOI: 10.19805/j.cnki.jcspe.2025.240131
Citation: DU Yiyun, MENG Jinzhou, YANG Xin, LI Biao, CHENG Linsheng, HU Wei. Research on Energy Storage Scale Optimization Method for Off Grid New Energy Hydrogen Production Systems[J]. Journal of Chinese Society of Power Engineering, 2025, 45(3): 452-463. DOI: 10.19805/j.cnki.jcspe.2025.240131

适用于离网型新能源制氢系统的储能规模优化方法研究

Research on Energy Storage Scale Optimization Method for Off Grid New Energy Hydrogen Production Systems

  • 摘要: 针对离网型新能源制氢系统的储能规划,在满足运行需求的情况下,进行了最小化的储能规模配置优化。首先,针对离网型新能源制氢系统,基于k-Shape聚类算法及优化指标,考虑马尔可夫链转移矩阵的应用,提出了新能源曲线生成方法。其次,以最大产氢量为目标,充分考虑新能源出力曲线、电解槽基本响应特性、储能响应特性等,提出离网型新能源制氢系统的储能优化模型。然后,结合新能源曲线及储能优化模型,采用生产模拟的方法并考虑制氢系统运行指标,提出基于连续生产模拟的储能规模修正方法。最后,针对配置84 MW光伏、30 MW风电、14台1 000 m3制氢设备的离网制氢系统进行多年度算例分析。结果表明:配置4.973 MW/4.973 MW·h储能时,系统能够取得较好的运行效果,验证了所提出方法的合理性和有效性,实现了储能规模配置过程中兼顾运行需求及经济性。

     

    Abstract: For the energy storage plan of off grid new energy hydrogen production systems, based on the requirements of operation, the minimum energy storage scale configuration was optimized. Firstly, for off grid new energy hydrogen production systems, considering the application of Markov chain transition matrix, a new energy curve generation method was proposed based on k-Shape clustering algorithm and optimization indicators. Secondly, with the goal of maximizing the hydrogen production, a storage optimization model for off grid new energy hydrogen production systems was proposed by fully considering the new energy output curve, basic response characteristics of electrolysis tanks, and energy storage response characteristics. And then, combining the new energy curve and energy storage optimization model and and considering the operating indicators of the hydrogen production system, a production simulation method was adopted to propose an energy storage scale correction method based on continuous production simulation. Finally, a multi-year case study was conducted on an off grid hydrogen production system with 84 MW photovoltaic power, 30 MW wind power, and 14 hydrogen production devices with 1 000 m3 of per device. Results showed that the system could achieve good operational performance when equipped with 4.973 MW/4.973 MW·h energy storage, which verifying the rationality and effectiveness of this method and achieving a balance between operational requirements and economy in the process of energy storage scale configuration.

     

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