The production of renewable hydrogen using water electrolysis has emerged with the increasing penetration of renewable energy sources. The energy management system (EMS) plays a key role in the production of renewable hydrogen by controlling electrolyzer’s operating point to achieve operational and economical benefits. In this regard, this article introduces the optimal scheduling for an EMS model for a hydrogen production system integrated with a photovoltaic (PV) system and a battery energy storage system (BESS) to satisfy electricity and hydrogen demands of an industrial hydrogen facility. The proposed EMS model aims to minimize the cost of hydrogen (CoH) production by minimizing the system net costs of industrial hydrogen facility while maintaining a reliable system operation. Furthermore, the proposed EMS model enables the application of seasonal hydrogen storage by incorporating the Z-score statistical measure of historical electricity prices, which follows seasonal electricity price trends. This allows the storage of hydrogen during periods of relatively low electricity prices. To demonstrate the validity of this model, it is tested for both intraseasonal and seasonal storage. Four case studies are used to prove the techno-economic benefits of the proposed EMS model. Furthermore, the impact of the electrolyzer’s capacity factor, the size of the hydrogen storage, and the PV share is investigated in terms of their techno-economic benefits to the system.

中文翻译：

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使用集成电池储能和太阳能光伏系统的氢能源设施的优化能源管理

随着可再生能源的日益普及，利用水电解生产可再生氢已经出现。能源管理系统 (EMS) 通过控制电解槽的运行点来实现运营和经济效益，在可再生氢的生产中发挥着关键作用。在这方面，本文介绍了针对集成光伏（PV）系统和电池储能系统（BESS）的制氢系统的EMS模型的优化调度，以满足工业氢设施的电力和氢气需求。所提出的 EMS 模型旨在通过最小化工业氢设施的系统净成本，同时保持可靠的系统运行，从而最小化氢 (CoH) 的生产成本。此外，所提出的 EMS 模型通过结合历史电价的 Z 分数统计测量来实现季节性储氢的应用，该统计测量遵循季节性电价趋势。这允许在电价相对较低的时期储存氢气。为了证明该模型的有效性，对季节性和季节性存储进行了测试。四个案例研究用于证明所提出的 EMS 模型的技术经济效益。此外，还研究了电解槽容量因子、储氢规模和光伏份额对系统的技术经济效益的影响。这允许在电价相对较低的时期储存氢气。为了证明该模型的有效性，对季节性和季节性存储进行了测试。四个案例研究用于证明所提出的 EMS 模型的技术经济效益。此外，还研究了电解槽容量因子、储氢规模和光伏份额对系统的技术经济效益的影响。这允许在电价相对较低的时期储存氢气。为了证明该模型的有效性，对季节性和季节性存储进行了测试。四个案例研究用于证明所提出的 EMS 模型的技术经济效益。此外，还研究了电解槽容量因子、储氢规模和光伏份额对系统的技术经济效益的影响。