Abstract: In the context of the "dual-carbon" strategy, industries are actively pursuing effective methods to reduce energy consumption and carbon emissions. Harnessing renewable energy sources, such as wind and solar power at the end-user level, lowering the reliance on fossil fuels, enabling partial self-sufficiency in energy through a multi-energy integration system, and optimizing the energy structure are critical for enhancing regional energy security. These efforts are also instrumental in achieving "dual-carbon" targets.Usingthe actual wind power data from the Ningbo region,a multi-energy integration system architecture and a rule-based energy scheduling strategyare designed, which encompasses hydrogen production, storage, and utilization. Using Matlab/Simulink, a simulation model of the multi-energy integration system is developed, incorporating modules for wind power generation, water electrolysis for hydrogen production, battery storage, high-pressure hydrogen storage, hydrogen fuel cell power generation, among others. The energy scheduling strategy is implemented and tested through the Stateflow module and m-function within Matlab/Simulink. Simulationsare conducted under various wind resource scenarios to analyze energy conversion, storage, and utilization within the system.The results reveal that the system model accurately reflects the operational status of wind power generation, battery storage, hydrogen production from water electrolysis, hydrogen fuel cell power generation, and other subsystems. It also effectively demonstrates fossil energy consumption levels under different wind resource and renewable energy penetration conditions, highlighting the dynamics of energy conversion, storage, and utilization within the system.The model constructed in this study enables energy scheduling across subsystems based on a pre-defined energy management strategy. This provides theoretical support for assessing the feasibility of regional multi-energy integration systems and offers a valuable reference for further development in capacity matching and the formulation of energy scheduling strategies within multi-energy integration systems.

Key words: multi-energy integration, energy conversion, renewable energy, simulation