Journal of Electrical Engineering and Automation

As an important carrier of the new urban development model, the optimized operation of the comprehensive energy system in smart parks is of great significance for improving energy utilization efficiency and reducing carbon emissions. This paper focuses on the research of the "comprehensive energy system supply-demand collaborative optimization model for smart parks" and proposes a collaborative optimization model that integrates multi-energy complementarity and dynamic response mechanisms. The model aims to solve the problem of coordinated scheduling of multiple energy systems such as electricity, heat, cooling, and gas in the park. By constructing a multi-objective optimization function with the goals of economy, low carbon, and stability, and introducing intelligent algorithms for solving, efficient matching of energy supply and demand is achieved. The research results can provide theoretical support and technical pathways for energy management in smart parks.

Smart park; Comprehensive energy system; Supply-demand collaboration; Optimization model; Multi-energy complementarity