Efficient multi-objective rolling strategy of photovoltaic/hydrogen system via short-term photovoltaic power forecasting

Yang, Bo, Zhang, Zijian, Li, Jiale, Wang, Jiarong, Zhang, Rui, Li, Shengnan, Jiang, Lin ORCID: 0000-0001-6531-2791 and Sang, Yiyan (2024) Efficient multi-objective rolling strategy of photovoltaic/hydrogen system via short-term photovoltaic power forecasting INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 80. pp. 1339-1355. ISSN 0360-3199, 1879-3487

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Abstract

Green hydrogen serves as an effective energy carrier for achieving sustainable development goals. However, the high production cost and intermittent renewable energy output cause obstacles to hydrogen production. Various electrolyzer control methods have been proposed to promote electrolyzers' efficiency. Traditional electrolyzer control methods may lead to significant differences in electrolyzer wear among large-scale hydrogen production systems. Hence, this paper proposes a multi-objective rolling strategy based on photovoltaic power forecasting to mitigate electrolyzer switch fluctuations, enhance hydrogen production efficiency, and better manage the electrolyzers. Initially, the trend of photovoltaic output is calculated based on the predicted values of the photovoltaic output from the particle swarm algorithm (PSO)-backpropagation (BP) model, and during the power ramp-up phase, some electrolyzers are activated in advance to expedite the cold start process and enhance the hydrogen production. Simultaneously, the electrolyzers' power distribution and operational status are adjusted in conjunction with the real-time power situation. Finally, a multi-objective rolling strategy is proposed to balance the operational indicators of the electrolyzers. The results indicate that the proposed method yields 4,952,642 Nm³ hydrogens over six months, which has increased by 5.37% and 9.00% compared to the simple start-stop and rotation strategy, respectively. Moreover, switch action times are reduced by 27.68% and 43.22%, respectively. These results demonstrate the effectiveness of the proposed method in significantly enhancing hydrogen production and improving the economic feasibility of photovoltaic/hydrogen systems.

Item Type:	Article
Uncontrolled Keywords:	Alkaline electrolyzer, Photovoltaic/hydrogen system, Photovoltaic power forecasting, Optimal control
Depositing User:	Symplectic Admin
Date Deposited:	23 Aug 2024 07:13
Last Modified:	16 Jun 2026 16:48
DOI:	10.1016/j.ijhydene.2024.07.149
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3184030
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