计及热媒流率和热损耗不确定性的综合能源系统优化调度  

Optimal Scheduling of Integrated Energy System Considering Uncertainty of Heat Medium Flow Rate and Heating Network Loss

作　　者：张涛[1] 刘伉 陶然[2] 王清川 黄明娟 ZHANG Tao;LIU Kang;TAO Ran;WANG Qingchuan;HUANG Mingjuan(School of Electrical and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Engineering Research Center for Smart Energy Technology(China Three Gorges University),Yichang 443002,China)

机构地区：[1]三峡大学电气与新能源学院,湖北宜昌443002 [2]智慧能源技术湖北省工程研究中心(三峡大学),湖北宜昌443002

出　　处：《中国电力》2023年第4期146-155,共10页Electric Power

基　　金：国家自然科学基金资助项目(计及热量迁移动态过程的电热耦合系统时空异构动态优化调度方法研究,52007103)。

摘　　要：针对综合能源系统中多种能源耦合以及不同能源的异质性,首先,利用流量分段法构建了更为精确的近似供热管道模型,并结合建筑的储热特性,共同构建了考虑2类热惯性的热力系统模型;其次,研究热能在调度过程中的特点,对2类不确定量进行描述;然后,利用信息间隙决策理论(information gap decision theory,IGDT),建立了鲁棒优化模型和机会优化模型,并引入非支配遗传算法(NSGA-II)对多目标模型进行求解;最后用44节点供热网络系统进行仿真,结果表明:该方法可有效量化热媒流率和热损耗的不确定性对调度运行的影响,提升了系统运行的经济性。Aiming at the coupling of multiple energy sources and the heterogeneity of different energy sources in integrated energy system,a more accurate approximate heating pipeline model is firstly constructed using flow segmentation method,and combined with the heat storage characteristics of buildings,a thermal system model is jointly constructed with consideration of two types of thermal inertia;secondly,the characteristics of thermal energy in the scheduling process are studied,and two types of uncertain quantities are described;and then,a robust optimization model and an opportunistic optimization model are established using the information gap decision theory(IGDT)method,and the NSGA-II algorithm is introduced to solve the multi-objective model;finally,the simulation results of a 44-node heating network system show that the proposed method can effectively quantify the influence of uncertainty of heat medium flow rate and heat loss on scheduling operation,and improve the economy of system operation.

关 键 词：综合能源系统 热惯性 信息间隙决策理论 不确定性 热损耗 

分 类 号：TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]