Comprehensive energy system supply-demand collaborative optimization model for smart parks
面向智慧园区的综合能源系统供需协同优化模型

摘要

智慧园区作为新型城市发展模式的重要载体，其综合能源系统的优化运行对提升能源利用效率、降低碳排放具有重要意义。本文围绕“面向智慧园区的综合能源系统供需协同优化模型”展开研究，提出一种融合多能互补与动态响应机制的协同优化模型，旨在解决园区内电、热、冷、气等多元能源系统的协调调度难题。通过构建以经济性、低碳性和稳定性为目标的多目标优化函数，并引入智能算法进行求解，实现能源供需的高效匹配。研究结果可为智慧园区能源管理提供理论支撑和技术路径。

Abstract

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.