Optimal cooperative operation of renewable energy to hydrogen distribution based on master-slave game

In response to the call for "peak carbon and carbon neutrality," this study proposes a renewable energy-to-hydrogen distributed collaborative optimization strategy with the aim of fair resource allocation among different entities in a comprehensive energy system. To achieve this, the research employs a master-slave game model where the park operator acts as the upper-level leader, and energy suppliers and load aggregators serve as followers. Subsequently, the decision model for transactions within the park's comprehensive energy system, which includes hydrogen storage, is integrated into the master-slave game framework. This integration leverages an enhanced differential evolution algorithm in combination with a second-order programming-based distributed equilibrium approach to address the problem. Finally, the study validates the effectiveness of this optimization strategy through case studies, demonstrating its efficiency in harnessing renewable resources, particularly wind and solar, and improving energy storage returns.