计及碳交易与需求响应的多典型日综合能源系统优化模型  

Multi-typical Day Integrated Energy System Optimization Model Considering Carbon Trading and Demand Response

作　　者：梁天成 李凌[1] LIANG Tiancheng;LI Ling(School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai,China,200093)

机构地区：[1]上海理工大学能源与动力工程学院,上海200093

出　　处：《热能动力工程》2024年第10期113-123,共11页Journal of Engineering for Thermal Energy and Power

摘　　要：系统负荷作为综合能源系统的约束条件,常以单个典型日加以表征,难以描述实际负荷波动性与随机性的特点。本文构建了计及碳交易与需求响应的多典型日优化模型,通过引入谱聚类算法获得多个典型日数据,在表征原始负荷数据波动性与随机性的同时,也基于负荷数据构成实现了数据分类,并以负荷构成为基础分别建立优化模型,引入阶梯型碳交易机制与需求响应机制,在Python语言下调用Gurobi求解器完成模型仿真,在此基础上对阶梯型碳交易参数的变化开展研究。结果表明:优化模型可较好地针对全年不同的负荷特征实现灵活调度;考虑需求响应后,系统总成本降低了4.78%,碳排放量降低了6.5%,在兼顾经济性与环保性的同时有利于清洁机组出力。As the constraint condition of integrated energy system,system load is often characterized by a single typical day,which is difficult to describe the characteristics of actual load with fluctuation and ran-domness.In this paper,a multi-typical day optimization model considering carbon trading and demand response was constructed.By introducing spectral clustering algorithm to obtain multiple typical daily da-ta,while characterizing the fluctuation and randomness of the original load data,the data classification was realized based on the load data composition,the optimization models were established based on the load composition,and a stepped carbon trading mechanism and a demand response mechanism were in-troduced.The model was simulated using Gurobi solver in Python language.The change of stepped car-bon trading parameters was studied on this basis.The results show that the optimization model can well realize flexible scheduling according to different load characteristics throughout the year.After consider-ing the demand response,total system costs are reduced by 4.78%,carbon emissions are reduced by 6.5%,which is beneficial to the output of cleaning units while taking into account the economy and envi-ronmental protection.

关 键 词：综合能源系统 谱聚类 需求响应 碳交易 混合整数线性规划 

分 类 号：TK01[动力工程及工程热物理]