The article discusses a novel approach to optimize hydrogen production through a multi-time-scale strategy based on Model Predictive Control (MPC). The focus is on reducing the cost of hydrogen production, enhancing the utilization of photovoltaic power generation, and managing uncertainties in renewable energy sources. A rotation operation strategy tailored for alkaline electrolyzers is proposed along with the development of an Alkaline Electrolyzer Management System (AEMS). The optimization objective is set to minimize costs, with a redefined electricity purchase cost function encouraging more hydrogen production during periods of low electricity prices. By implementing a two-layer optimization scheduling framework, the study demonstrates improved economic efficiency and a 20% increase in average hydrogen production, coupled with a 3% reduction in the cost of hydrogen. The research highlights the significance of efficient electrolyzer control strategies in accommodating renewable energy fluctuations and underscores the need for cost-effective optimization strategies in hydrogen production systems.