Dynamic power allocation for the new energy hybrid hydrogen production system based on WOA-VMD: Improving fluctuation balance and optimizing control strategy

Abstract

The new energy hydrogen production system is subject to intermittent fluctuations, which compromise efficiency and equipment lifespan. This study proposes a new dynamic power allocation and control strategy for hybrid hydrogen production systems. By using the Whale Algorithm Optimized Variable Modal Decomposition (WOA-VMD), the fluctuating power of new energy is quantitatively decomposed and reconstructed. Based on a multi-objective optimization function, low-frequency variation components and high-frequency fluctuation components are accurately allocated between alkaline electrolyzers (ALK) and proton exchange membrane electrolyzers (PEM). The strategy effectively improves the source-load balancing capability, reducing the low-frequency fluctuation rate by 60% and reducing the high-frequency power amplitude by 70%, significantly reducing the operational demands on ALK electrolyzers, the capacity requirements of PEM electrolyzers, and the need for energy storage configuration, while also increasing hydrogen production efficiency by 7%. Compared to existing methods, the strategy has a transparent analysis process, strong interpretability, and good data reusability, making it valuable for engineering applications.