区域供热网络等效储能模型及其在非迭代电热联合调度中的应用

翁亮涛; 肖天颖; 郑伟业

doi:10.11930/j.issn.1004-9649.202509039

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

区域供热网络等效储能模型及其在非迭代电热联合调度中的应用

新能源与储能 | 更新时间：2026-07-01

- 区域供热网络等效储能模型及其在非迭代电热联合调度中的应用
- Equivalent energy storage model for district heating network and its application in non-iterative combined electricity-heat scheduling
- 中国电力 2026年59卷第6期页码：145-153
- 作者机构：
  
  1. 华南理工大学电力学院,广东,广州,510641
  2. 南方电网能源发展研究院配电网规划研究部,广东,广州,510530
  3. 澳门大学智慧城市物联网全国重点实验室，电机及电脑工程系,澳门,999078
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（52107094）;澳门特别行政区科学技术发展基金资助项目（001/2024/SKL）。
- DOI：10.11930/j.issn.1004-9649.202509039
  中图分类号：
- 网络首发：2026-06-22，
  
  纸质出版：2026
- 稿件说明：
移动端阅览
翁亮涛, 肖天颖, 郑伟业. 区域供热网络等效储能模型及其在非迭代电热联合调度中的应用[J]. 中国电力, 2026, 59(6): 145-153.

WENG Liangtao, XIAO Tianying, ZHENG Weiye. Equivalent energy storage model for district heating network and its application in non-iterative combined electricity-heat scheduling[J]. 2026, 59(6): 145-153.
翁亮涛, 肖天颖, 郑伟业. 区域供热网络等效储能模型及其在非迭代电热联合调度中的应用[J]. 中国电力, 2026, 59(6): 145-153. DOI： 10.11930/j.issn.1004-9649.202509039.

WENG Liangtao, XIAO Tianying, ZHENG Weiye. Equivalent energy storage model for district heating network and its application in non-iterative combined electricity-heat scheduling[J]. 2026, 59(6): 145-153. DOI： 10.11930/j.issn.1004-9649.202509039.

摘要

区域供热网络因其热惯性而具有巨大的储能潜力，能够为电力系统提供灵活性。然而，热网的复杂能量传输特性和数据隐私问题使得难以评估其储能能力。为此，提出了一种计及热网动态特性的近似模型来聚合热网的储能能力。首先，将热网的灵活性建模为一个物理意义明确的等效储能模型以量化管道热储能能力；然后，采用基本多面体平移缩放方法计算热网的等效储能模型参数；最后，将热网的灵活性聚合模型应用于电热综合能源系统的协同优化中，并进行仿真验证。仿真结果表明，所提聚合模型在避免集中式方法中详细热网模型的同时，能够以非迭代的方式求解电热联合调度问题，且结果具有较高的精度。

Abstract

District heating networks exhibit considerable energy storage potential due to their thermal inertia

enabling sufficient operational flexibility for power systems. However

the complex energy transfer characteristics and data privacy concerns of heating networks pose great challenges to the accurate evaluation of their storage capability. To address this issue

an approximate model considering dynamic properties of heating networks is proposed to aggregate the storage capacity of heating networks. First

the flexibility of the heating network is modeled as a physically meaningful equivalent energy storage model to quantify the thermal storage capacity of pipelines. Building upon this

the basic polyhedron translation and scaling method is employed to determine the parameters of the heating network equivalent energy storage model. Furthermore

the proposed flexibility aggregation model is applied to the coordinated optimization of integrated electricity-thermal energy systems

and numerical simulations are conducted for validation. Simulation results demonstrate that the proposed aggregation model can solve the combined power-heat dispatch problem non-iteratively while avoiding the detailed heating network modeling required by conventional centralized approaches. Meanwhile

the optimized results can maintain a high level of computational accuracy.

关键词

Keywords

references

1林顺富, 张琪, 沈运帷, 等. 面向灵活爬坡服务的高比例新能源电力系统可调节资源优化调度模型[J]. 电力系统保护与控制, 2024, 52 (2): 90- 100.

LIN Shunfu, ZHANG Qi, SHEN Yunwei, et al. Optimal dispatch model of adjustable resources in a power system with high proportion of renewable energy for flexible ramping product[J]. Power System Protection and Control, 2024, 52 (2): 90- 100.

2胡福年, 张彭成, 周小博, 等. 计及灵活性资源的综合能源系统源荷协调优化调度[J]. 中国电力, 2024, 57 (5): 2- 13.

HU Funian, ZHANG Pengcheng, ZHOU Xiaobo, et al. Coordinated optimal scheduling of source and load in integrated energy system considering flexible resources[J]. Electric Power, 2024, 57 (5): 2- 13.

3曹书仪, 陶洪铸, 王强, 等. 基于混合多属性决策方法的新能源电力系统灵活性资源调节能力综合评价[J]. 中国电力, 2025, 58 (11): 62- 71, 87.

CAO Shuyi, TAO Hongzhu, WANG Qiang, et al. Comprehensive evaluation of flexibility resource regulation capability in new energy power systems based on hybrid multi-attribute decision-making methods[J]. Electric Power, 2025, 58 (11): 62- 71, 87.

4史喆, 金宇飞, 王勇, 等. 基于用户舒适度区间约束的电热区域综合能源系统优化运行研究[J]. 电力系统保护与控制, 2022, 50 (20): 168- 177.

SHI Zhe, JIN Yufei, WANG Yong, et al. Optimal operation of an electric heating region integrated energy system based on a user comfort interval constraint[J]. Power System Protection and Control, 2022, 50 (20): 168- 177.

5张磊, 王满康, 叶婧, 等. 兼具求解速度与隐私性的复杂供热管网等值简化模型[J]. 电力系统保护与控制, 2024, 52 (10): 105- 117.

ZHANG Lei, WANG Mankang, YE Jing, et al. An equivalent simplified model for a complex heating network with a balance between solution speed and privacy[J]. Power System Protection and Control, 2024, 52 (10): 105- 117.

6冯振, 阎俏, 迟青青, 等. 综合能源网络建模与运维技术研究综述[J]. 山东电力技术, 2024, 51 (5): 9- 18, 29.

FENG Zhen, YAN Qiao, CHI Qingqing, et al. A review of modeling, operation and maintenance technologies for multi-energy coupled integrated energy network[J]. Shandong Electric Power, 2024, 51 (5): 9- 18, 29.

7易纯, 肖辉, 吴公平, 等. 含电、冷、热、气的区域综合能源系统优化运行[J]. 电力科学与技术学报, 2024, 39 (4): 215- 221.

YI Chun, XIAO Hui, WU Gongping, et al. Optimal operation of regional integrated energy system including electricity, cooling, heating and gas[J]. Journal of Electric Power Science and Technology, 2024, 39 (4): 215- 221.

8束娜, 江山, 刘春伶, 等. 计及灵活性资源多时间尺度协调互济的电-气-热综合能源系统优化调度[J]. 电力建设, 2024, 45 (12): 3- 15.

SHU Na, JIANG Shan, LIU Chunling, et al. Optimal scheduling of electricity-gas-heat integrated energy system with flexible resources in multiple time scales[J]. Electric Power Construction, 2024, 45 (12): 3- 15.

9WANG H, MENG H. Improved thermal transient modeling with new 3-order numerical solution for a district heating network with consideration of the pipe wall's thermal inertia[J]. Energy, 2018, 160, 171- 183.

10GONG E W, WANG N, YOU S J, et al. Optimal operation of novel hybrid district heating system driven by central and distributed variable speed pumps[J]. Energy Conversion and Management, 2019, 196, 211- 226.

11MADSEN H , SGAARD H , SEJLING K ,et al.Models and methods for optimization of district heating systems: Part II: models and control methods[J]. 1992.

12STEVANOVIC V D, ZIVKOVIC B, PRICA S, et al. Prediction of thermal transients in district heating systems[J]. Energy Conversion and Management, 2009, 50 (9): 2167- 2173.

13BENONYSSON A .Dynamic modelling and operational optimization of district heating systems[J]. 1991.

14郭斯琦, 楼劲, 郑凌蔚. 考虑热网特性的综合能源系统混合时间尺度调度方法[J]. 电力建设, 2024, 45 (12): 16- 26.

GUO Siqi, LOU Jin, ZHENG Lingwei. Hybrid time scale scheduling method for integrated energy systems considering the characteristics of heating networks[J]. Electric Power Construction, 2024, 45 (12): 16- 26.

15申鸿帅, 吕家君, 李更丰, 等. 考虑热储灵活配置与热网水力热力特性的电热综合能源系统优化规划[J]. 电力自动化设备, 2024, 44 (7): 214- 222, 254.

SHEN Hongshuai, LÜ Jiajun, LI Gengfeng, et al. Optimal planning of integrated electricity and heating system considering flexible configuration of thermal storage and hydraulic-thermal characteristics of thermal network[J]. Electric Power Automation Equipment, 2024, 44 (7): 214- 222, 254.

16张玉敏, 尹延宾, 吉兴全, 等. 计及热网不同运行状态下灵活性供给能力的综合能源系统优化调度[J]. 中国电力, 2025, 58 (2): 88- 102.

ZHANG Yumin, YIN Yanbin, JI Xingquan, et al. Optimal dispatch of integrated electric-heat energy system considering supply flexibility of heat networks under different operation states[J]. Electric Power, 2025, 58 (2): 88- 102.

17PALSSON H. Analysis of numerical methods for simulating temperature dynamics in district heating pipes[C]//6th International Symposium on District Heating and Cooling Simulation. University of Iceland, Faculty of Engineering, 1997: 1–20.

18BENONYSSON A, BØHM B, RAVN H F. Operational optimization in a district heating system[J]. Energy Conversion and Management, 1995, 36 (5): 297- 314.

19LI Z G, WU W C, SHAHIDEHPOUR M, et al. Combined heat and power dispatch considering pipeline energy storage of district heating network[J]. IEEE Transactions on Sustainable Energy, 2016, 7 (1): 12- 22.

20LI Z G, WU W C, WANG J H, et al. Transmission-constrained unit commitment considering combined electricity and district heating networks[J]. IEEE Transactions on Sustainable Energy, 2016, 7 (2): 480- 92.

21LU S, GAO Z H, SUN Y, et al. Aggregate model of district heating network for integrated energy dispatch: a physically informed data-driven approach[J]. IEEE Transactions on Sustainable Energy, 2024, 15 (3): 1859- 1871.

22严嘉鑫, 范宏, 贾庆山, 等. 计及共享氢储能和虚拟储能的多园区综合能源系统协同规划[J]. 智慧电力, 2025, 53 (6): 10- 18.

YAN Jiaxin, FAN Hong, JIA Qingshan, et al. Collaborative planning of multi-park integrated energy systems considering shared hydrogen energy storage and virtual energy storage[J]. Smart Power, 2025, 53 (6): 10- 18.

23刘权, 钟剑, 陈晨, 等. 基于压缩空气储能的电-热综合能源系统两阶段弹性提升策略[J]. 电网技术, 2026, 50 (1): 14- 27.

LIU Quan, ZHONG Jian, CHEN Chen, et al. Two-stage resilience enhancement strategy for integrated electricity-heat energy system based on compressed air energy storage[J]. Power System Technology, 2026, 50 (1): 14- 27.

24YANG J W, ZHANG N, BOTTERUD A, et al. On an equivalent representation of the dynamics in district heating networks for combined electricity-heat operation[J]. IEEE Transactions on Power Systems, 2020, 35 (1): 560- 570.

25ZHENG W Y, HOU Y H, LI Z G. A dynamic equivalent model for district heating networks: formulation, existence and application in distributed electricity-heat operation[J]. IEEE Transactions on Smart Grid, 2021, 12 (3): 2685- 2695.

26ZHANG S H, GU W, LU S, et al. Dynamic security control in heat and electricity integrated energy system with an equivalent heating network model[J]. IEEE Transactions on Smart Grid, 2021, 12 (6): 4788- 4798.

27LU S, GU W, MENG K, et al. Thermal inertial aggregation model for integrated energy systems[J]. IEEE Transactions on Power Systems, 2020, 35 (3): 2374- 2387.

28ZHENG W Y, ZHU J Z, LUO Q J. Distributed dispatch of integrated electricity-heat systems with variable mass flow[J]. IEEE Transactions on Smart Grid, 2023, 14 (3): 1907- 1919.

29李佩杰, 陆镛, 白晓清, 等. 基于交替方向乘子法的动态经济调度分散式优化[J]. 中国电机工程学报, 2015, 35 (10): 2428- 2435.

LI Peijie, LU Yong, BAI Xiaoqing, et al. Decentralized optimization for dynamic economic dispatch based on alternating direction method of multipliers[J]. Proceedings of the CSEE, 2015, 35 (10): 2428- 2435.

30沈祎淳, 彭弘毅, 张钊诚, 等. 基于多面体等值聚合的氢-电-热综合能源微网群非迭代式分散协同调度方法[J]. 中国电力, 2025, 58 (12): 37- 49.

SHEN Yichun, PENG Hongyi, ZHANG Zhaocheng, et al. A non-iterative decentralized collaborative scheduling method for hdrogen-electricity-heat integrated energy microgrid clusters based on polyhedral equivalent aggregation[J]. Electric Power, 2025, 58 (12): 37- 49.

31ZHENG W Y, HILL D J. Distributed real-time dispatch of integrated electricity and heat systems with guaranteed feasibility[J]. IEEE Transactions on Industrial Informatics, 2022, 18 (2): 1175- 1185.

32YI Z K, XU Y L, GU W, et al. Aggregate operation model for numerous small-capacity distributed energy resources considering uncertainty[J]. IEEE Transactions on Smart Grid, 2021, 12 (5): 4208- 4224.

33WANG S Y, WU W C. Aggregate flexibility of virtual power plants with temporal coupling constraints[J]. IEEE Transactions on Smart Grid, 2021, 12 (6): 5043- 5051.

34ZHENG W Y, WU W C, LI Z G, et al. A non-iterative decoupled solution for robust integrated electricity-heat scheduling based on network reduction[J]. IEEE Transactions on Sustainable Energy, 2021, 12 (2): 1473- 1488.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于有限理性的集中供热耦合绿电调峰系统运行优化

中国电力消费不均衡性变化及时空演化机理分析

深度强化学习驱动的电-碳-氢协同决策范式

基于多模态混合特征的电力用户分类识别方法