Optimal scheduling of wind-photovoltaic-hydrogen system with alkaline and proton exchange membrane electrolyzer

Renewable energy hydroelectrolysis has emerged as a promising solution for effectively harnessing discarded wind and photovoltaic (PV) power generation. By integrating a hybrid electrolyzer system consisting of proton exchange membrane electrolyzers (PEMELs) and alkaline electrolyzers (AELs), the flexibility of hydrogen production systems can be significantly enhanced. Moreover, optimizing the control of the wind-photovoltaichydrogen system holds the potential to enhance further energy utilization, hydrogen production rates, and overall economic efficiency. However, current research lacks effective management of hybrid electrolyzers. To address this gap, this paper introduces a novel optimal scheduling method that combines power forecasting based on the variation mode decomposition (VMD)-back propagation (BP) model with a multi-objective weighted rolling algorithm, comprehensively optimizing the operational details of each electrolyzer. In addition, two traditional strategies, the simple start-stop strategy and rotation strategy, are evaluated for comparison purposes. The research findings reveal that the proposed method leads to a substantial increase in hydrogen production, yielding 318516.76 kg over three months. Specifically, compared to the simple start-stop and rotation strategies, the proposed method achieves improvements of 4.49 % and 4.47 %, respectively. Furthermore, the proposed method significantly reduces the number of switching actions by 53.92 % and 54.37 %, respectively, indicating its effectiveness in enhancing system performance.