面向用户级综合能源系统两阶段容量优化配置方法

Two-Stage Capacity Optimization Allocation Method for User-Level Integrated Energy Systems

摘要: “双碳”目标背景下，综合能源系统将各种冷、热、电、气等能源供应网络耦合，通过多能互补优势，可促进可再生能源就地消纳，提高综合能源利用率。本文提出一种面向用户级综合能源系统的两阶段容量优化配置方法。在第一阶段，首先搭建用户级综合能源系统设备模型，然后以年化总成本最低求解设备容量配置方案；第二阶段以典型日经济性、环保性进行目标优化调度，最终利用MATLAB内置CPLEX求解器对该混合整数线性规划问题进行求解。算例分析表明，对综合能源系统灵活调度起到了优化作用，有效降低运行成本，同时提高了可再生能源的消纳能力。

Abstract: In the context of the “Dual Carbon” goals, integrated energy systems couple various energy supply networks such as cooling, heating, electricity, and gas. Leveraging the advantages of multi-energy complementarity, they facilitate the on-site integration of renewable energy, thereby enhancing the overall energy utilization efficiency. This paper proposes a two-stage capacity optimization configuration method tailored for user-level integrated energy systems. In the first stage, it begins by constructing an equipment model for the user-level integrated energy system, subsequently solving for the minimum annualized total cost to determine equipment capacity configuration. In the second stage, optimization scheduling based on typical daily economic and environmental objectives is conducted, ultimately solving the mixed-integer linear programming problem using the MATLAB built-in CPLEX solver. Case studies indicate that flexible scheduling of the integrated energy system optimizes its operation, effectively reducing operational costs, while concurrently enhancing the capacity for accommodating renewable energy.