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

作　　者：黎舜瑀 闫江峰 孙启宸 雷爽 张子见 Shunyu Li;Jiangfeng Yan;Qichen Sun;Shuang Lei;Zijian Zhang(School of Electrical Engineering,Guizhou University,Guiyang Guizhou;Guizhou Power Grid Co.,Ltd.Guiyang Jinyang Power Supply Bureau,Guizhou Guiyang)

机构地区：[1]贵州大学电气工程学院,贵州贵阳 [2]贵州电网有限责任公司贵阳金阳供电局,贵州贵阳

出　　处：《建模与仿真》2024年第6期6618-6627,共10页Modeling and Simulation

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。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 ob-jectives 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 en-ergy system optimizes its operation,effectively reducing operational costs,while concurrently enhancing the capacity for accommodating renewable energy.

关 键 词：双碳 用户级综合能源系统 容量配置 典型日 优化调度 

分 类 号：F42[经济管理—产业经济]