中国电力 ›› 2023, Vol. 56 ›› Issue (4): 146-155.DOI: 10.11930/j.issn.1004-9649.202204087

• 综合能源技术 • 上一篇    下一篇

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

张涛1, 刘伉1, 陶然2, 王清川2, 黄明娟2   

  1. 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
  • 收稿日期:2022-04-20 修回日期:2022-11-29 发布日期:2023-04-26
  • 作者简介:张涛(1981-),男,通信作者,博士,教授,从事电力系统优化运行,E-mail:unifzhang@foxmail.com;刘伉(1998-),男,硕士研究生,从事综合能源系统及微电网优化调度,E-mail:1500943318@qq.com
  • 基金资助:
    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)。

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

ZHANG Tao1, LIU Kang1, TAO Ran2, WANG Qingchuan2, HUANG Mingjuan2   

  1. 1. School of Electrical and New Energy, China Three Gorges University, Yichang 443002, China;
    2. Hubei Engineering Research Center for Smart Energy Technology (China Three Gorges University), Yichang 443002, China
  • Received:2022-04-20 Revised:2022-11-29 Published:2023-04-26
  • Supported by:
    This work is supported by National Natural Science Foundation of China (Research on Dynamic Optimal Scheduling Method of Electric-thermal Coupling System with Spatial and Temporal Heterogeneity Considering Dynamic Process of Heat Transfer, No.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。

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

Abstract: 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.

Key words: integrated energy system, thermal inertia, IGDT, uncertainty, heat loss