Optimal Dispatch of Integrated Electric-Heat Energy System Considering Supply Flexibility of Heat Networks Under Different Operation States

doi:10.11930/j.issn.1004-9649.202407088

Abstract

Abstract:

The increasing penetration of renewable energy sources has made the fluctuation of system net load increasingly prominent, posing higher flexibility requirements on system operation. To address this, an optimized dispatch strategy for integrated energy systems (IES) is proposed, taking into account the flexibility supply capacity under different operational states of the heating network. Firstly, based on interval optimization, the sub-hourly operational flexibility demand of the system is determined in response to the uncertainty of wind power and load. Secondly, by analyzing the impact of four types of changes in heat load and electrical net load on system operational flexibility and considering the upward/downward flexibility supply mechanism of combined heat and power units under dynamic heating network characteristics, a flexibility supply model for the heating network under different operational states is derived. Then, by clarifying the charging, discharging, and non-operating states of energy storage devices as well as their energy limit characteristics, a mathematical model for providing sub-hourly operational flexibility through energy storage is derived. A coordinated relationship between hourly-scale optimized dispatch decisions for the IES and sub-hourly operational flexibility constraints is established, thereby constructing an IES optimized dispatch model that takes into account the operational flexibility of multiple links including sources, networks, and storage. Finally, the proposed model is tested using the integrated energy E6-H8 and E57-H16 systems as examples, verifying that it can effectively improve system operational flexibility by optimizing energy storage and heating network flexibility resources.

Key words: integrated energy systems, source-net-storage, operation flexibility, optimal dispatching, multiple time scale

Yumin ZHANG, Yanbin Yin, Xingquan JI, Pingfeng YE, Donglei SUN, Aiquan SONG. 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.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202407088

https://www.electricpower.com.cn/EN/Y2025/V58/I2/88

Figures/Tables 17

Fig.1 System operation flexibility requirements

Fig.2 Flexibility of supply and shortages under the “heat for electricity” model for thermal systems

Fig.3 Heat system network topology

Fig.4 Schematic of pipe flow at constant flow

Fig.5 IES E6-H8 Network System Structure

Fig.6 Wind, electric, thermal and net load power curves

Table 1 Equipment and scheduling strategies considered for different cases

方案	储能装置	考虑热网造成的系统灵活性短缺和灵活性供给	考虑热网动态特性	考虑运行灵活性约束
1				√
2		√		√
3	√			√
4			√
5		√	√	√
6	√	√	√	√

Fig.7 Upward /Downward flexibility capacity to be met by thermal units under different cases

Fig.8 CHP heat power, heat load power and heat network temperature for Case 2 and Case 5

Fig.9 Unit commitment of thermal units for Case2 and Case5

Fig.10 Impact of operational flexibility constraints on the dynamic characterization of thermal network operating states

Table 2 Operating costs and flexibility margins for different heat network flexibility models

方案	系统运行成本/万元	上行灵活性裕度/MW	下行灵活性裕度/MW
文献 [15]	—	—	—
文献 [16]	161.119	336.078	296.670
5	152.467	598.098	520.684

Table 3 Comparison of optimization results for different cases

σ/MW	系统总运行成本/万元
σ/MW	方案2	方案3	方案5	方案6
0	156.485	151.515	151.685	150.017
20	—	154.630	151.795	150.017
40	—	—	—	150.143

Table 4 Start-up, shutdown, wind abandonment and lost load costs for different cases

方案	启停成本/元	弃风成本/元	失负荷成本/元
2	2195.20	45792.222	0
3	1598.80	11501.063	0
5	1598.80	12734.568	0
6	1598.80	887.390	0

Fig.11 Upside /Downside Flexibility Supply

Table 5 Comparison of optimization results in different cases

σ/MW	系统总运行成本/万元
σ/MW	方案2	方案3	方案5	方案6
0	340.816	336.273	333.235	331.471
50	—	338.695	334.747	331.471
100	—	—	—	332.584

Table 6 Start-up, shutdown, wind abandonment and lost load costs for different cases

方案	启停成本/元	弃风成本/元	失负荷成本/元
2	9070.60	46040.379	0
3	7871.50	31776.185	0
5	7871.50	18602.997	0
6	7871.50	12845.189	0

References 24

1	ZHANG Y M, SUN P K, JI X Q, et al. Low-carbon economic dispatch of integrated energy systems considering extended carbon emission flow[J]. Journal of Modern Power Systems and Clean Energy, 2024, PP (99): 1- 12.
2	LI P, YANG M, WU Q W. Confidence interval based distributionally robust real-time economic dispatch approach considering wind power accommodation risk[J]. IEEE Transactions on Sustainable Energy, 2020, 12 (1): 58- 69.
3	李茜, 苟璐旸, 李樊, 等. 面向提供系统灵活性的风电场内机组优化运行[J]. 中国电力, 2022, 55 (8): 23- 30.
	LI Qian, GOU Luyang, LI Fan, et al. System flexibility-oriented optimized unit operation in wind farms[J]. Electric Power, 2022, 55 (8): 23- 30.
4	WANG K, WANG C F, YAO W L, et al. Embedding P2P transaction into demand response exchange: a cooperative demand response management framework for IES[J]. Applied Energy, 2024, 367, 123319. DOI
5	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.
6	武昭原, 周明, 王剑晓, 等. 双碳目标下提升电力系统灵活性的市场机制综述[J]. 中国电机工程学报, 2022, 42 (21): 7746- 7763.
	WU Zhaoyuan, ZHOU Ming, WANG Jianxiao, et al. Review on market mechanism to enhance the flexibility of power system under the dual-carbon target[J]. Proceedings of the CSEE, 2022, 42 (21): 7746- 7763.
7	孟秋, 廖凯, 郑舜玮, 等. 考虑灵活性区域互济的电力系统源-网-储协同规划[J]. 电网技术, 2024, 48 (8): 3165- 3174.
	MENG Qiu, LIAO Kai, ZHENG Shunwei, et al. Source-grid-storage coordinated planning for power system considering flexibility mutual aid among regions[J]. Power System Technology, 2024, 48 (8): 3165- 3174.
8	马骞, 苏京轩, 邹金, 等. 考虑机组灵活性的高比例新能源电力系统机组检修策略[J/OL]. 南方电网技术, (2024-04-29) [2024-10-10]. https://kns.cnki.net/kcms/detail/44.1643.tk.20240425.2231.010.html.
	MA Qian, SU Jingxuan, ZOU Jin, et al. Maintenance strategy for high proportion renewable energy power system considering flexibility of units[J]. China Southern Power Grid Technology, (2024-04-29) [2024-10-10]. https://kns.cnki.net/kcms/detail/44.1643.tk.20240425.2231.010.html.
9	张俊涛, 甘霖, 程春田, 等. 大规模风光并网条件下水电灵活性量化及提升方法[J]. 电网技术, 2020, 44 (9): 3227- 3239.
	ZHANG Juntao, GAN Lin, CHENG Chuntian, et al. Quantification and promotion of hydropower flexibility with large-scale wind and solar power incorporated into grid[J]. Power System Technology, 2020, 44 (9): 3227- 3239.
10	杨寅平, 曾沅, 秦超, 等. 面向深度调峰的火电机组灵活性改造规划模型[J]. 电力系统自动化, 2021, 45 (17): 79- 88. DOI
	YANG Yinping, ZENG Yuan, QIN Chao, et al. Planning model for flexibility reformation of thermal power units for deep peak regulation[J]. Automation of Electric Power Systems, 2021, 45 (17): 79- 88. DOI
11	王洪坤, 王守相, 潘志新, 等. 含高渗透分布式电源配电网灵活性提升优化调度方法[J]. 电力系统自动化, 2018, 42 (15): 86- 93. DOI
	WANG Hongkun, WANG Shouxiang, PAN Zhixin, et al. Optimized dispatching method for flexibility improvement of distribution network with high-penetration distributed generation[J]. Automation of Electric Power Systems, 2018, 42 (15): 86- 93. DOI
12	LI X, LI W M, ZHANG R F, et al. Collaborative scheduling and flexibility assessment of integrated electricity and district heating systems utilizing thermal inertia of district heating network and aggregated buildings[J]. Applied Energy, 2020, 258, 114021. DOI
13	WANG W, JING S T, SUN Y, et al. Combined heat and power control considering thermal inertia of district heating network for flexible electric power regulation[J]. Energy, 2019, 169, 988- 999. DOI
14	董帅, 王成福, 徐士杰, 等. 计及网络动态特性的电—气—热综合能源系统日前优化调度[J]. 电力系统自动化, 2018, 42 (13): 12- 19. DOI
	DONG Shuai, WANG Chengfu, XU Shijie, et al. Day-ahead optimal scheduling of electricity-gas-heat integrated energy system considering dynamic characteristics of networks[J]. Automation of Electric Power Systems, 2018, 42 (13): 12- 19. DOI
15	吉兴全, 刘健, 张玉敏, 等. 计及运行灵活性约束的综合能源系统优化调度[J]. 电力系统自动化, 2022, 46 (16): 84- 94.
	JI Xingquan, LIU Jian, ZHANG Yumin, et al. Optimal dispatching of integrated energy system considering operation flexibility constraints[J]. Automation of Electric Power Systems, 2022, 46 (16): 84- 94.
16	王秋实, 杨明, 李鹏, 等. 计及热网灵活性恢复过程的电热综合能源系统鲁棒超前调度[J]. 高电压技术, 2023, 49 (8): 3173- 3186.
	WANG Qiushi, YANG Ming, LI Peng, et al. Robust look-ahead dispatch of electricity-heat integrated energy system considering the flexibility recovery period of heating networks[J]. High Voltage Engineering, 2023, 49 (8): 3173- 3186.
17	黄大为, 史博铭, 于娜, 等. 热电联产机组利用热网动态特性提升实时灵活性的自调度策略[J]. 中国电机工程学报, 2024, 44 (20): 7983- 7995.
	HUANG Dawei, SHI Boming, YU Na, et al. Self-scheduling strategy to improve the real-time flexibility of CHP unit by utilizing heat network dynamic characteristics[J]. Proceedings of the CSEE, 2024, 44 (20): 7983- 7995.
18	KOOHI-FAYEGH S, ROSEN M A. A review of energy storage types, applications and recent developments[J]. Journal of Energy Storage, 2020, 27, 101047. DOI
19	张利, 杨建, 菅学辉, 等. 考虑次小时尺度运行灵活性的含储能机组组合[J]. 电力系统自动化, 2018, 42 (16): 48- 56. DOI
	ZHANG Li, YANG Jian, JIAN Xuehui, et al. Unit commitment with energy storage considering operation flexibility at sub-hourly time-scales[J]. Automation of Electric Power Systems, 2018, 42 (16): 48- 56. DOI
20	SONG Y G, XIA M C, YANG L, et al. Multi-granularity source-load-storage cooperative dispatch based on combined robust optimization and stochastic optimization for a highway service area micro-energy grid[J]. Renewable Energy, 2023, 205, 747- 762. DOI
21	鲁宗相, 李海波, 乔颖. 含高比例可再生能源电力系统灵活性规划及挑战[J]. 电力系统自动化, 2016, 40 (13): 147- 158. DOI
	LU Zongxiang, LI Haibo, QIAO Ying. Power system flexibility planning and challenges considering high proportion of renewable energy[J]. Automation of Electric Power Systems, 2016, 40 (13): 147- 158. DOI
22	张玉敏, 孙鹏凯, 孟祥剑, 等. 基于碳势-能源价格双响应的综合能源系统低碳经济调度[J]. 电力系统自动化, 2024, 48 (9): 21- 33.
	ZHANG Yumin, SUN Pengkai, MENG Xiangjian, et al. Low-carbon economic dispatching of integrated energy system based on dual response of carbon intensity and energy price[J]. Automation of Electric Power Systems, 2024, 48 (9): 21- 33.
23	陈飞雄, 蔡明杰, 郭奕鑫, 等. 计及网络动态特性的电-热互联系统仿射优化法[J]. 中国电机工程学报, 2024, 44 (12): 4715- 4732.
	CHEN Feixiong, CAI Mingjie, GUO Yixin, et al. An affine arithmetic-based optimization method of combined electric and heat system considering dynamic characteristics of network[J]. Proceedings of the CSEE, 2024, 44 (12): 4715- 4732.
24	BOUFFARD F, GALIANA F D. An electricity market with a probabilistic spinning reserve criterion[J]. IEEE Transactions on Power Systems, 2004, 19 (1): 300- 307. DOI

[1]	Yunlong WANG, Lu HAN, Shulin LUO, Tao WU. Load Scheduling Optimization of Home Electric Heating Integrated Energy System with Electric Vehicle [J]. Electric Power, 2024, 57(5): 39-49.
[2]	Zhipeng LV, Zhenhao SONG, Lisheng LI, Yang LIU. Optimization Scheduling of Integrated Energy System Scheduling in Industrial Park containing Electric Vehicles [J]. Electric Power, 2024, 57(4): 25-31.
[3]	Zhiyuan SUN, Boya PENG, Yan SUN. Optimal Dispatch Strategy of Power and Electricity Balance Based on Multi-Energy Complementation [J]. Electric Power, 2024, 57(1): 115-122.
[4]	QIAN Guoming, MENG Jie, ZHU Haidong, DING Quan, CHEN Xiaoyu. Capacity Planning and Operation Strategy of New PV-Storage Power Station Based on Frequency Modulation Service [J]. Electric Power, 2023, 56(6): 132-138,147.
[5]	Jiguang KANG, Jiehua JU, Yanmin ZHAO, Yutong ZHAO, Xuetao BAI, Yingru ZHAO, Rui JING. Integrated Energy System Optimization Considering EnergyCommunities with Prosumers [J]. Electric Power, 2023, 56(11): 206-216.
[6]	LI Xiongwei, WANG Xin, GU Jiawei, XU Jiahao. Day-Ahead Optimal Dispatching of Wind-Solar-Thermal Power Storage System Considering Deep Peak Shaving of Thermal Power [J]. Electric Power, 2023, 56(1): 1-7,48.
[7]	YANG Genye, SUN Rongfu, DING Ran, XU Haixiang, CHEN Can, WU Linlin, CHEN Qifang, XIA Mingchao. Multi Time Scale Reactive Power and Voltage Optimization of Distribution Network Considering Photovoltaic Multi State Regulation Capability [J]. Electric Power, 2022, 55(3): 105-114.
[8]	GUO Zuogang, XU Min, YU Hao, LEI Jinyong, JI Haoran, LI Peng. Interval Optimal Dispatching of Community Integrated Energy System Considering Multiple Uncertainties [J]. Electric Power, 2022, 55(11): 121-128,141.
[9]	JIN Ziran, WU Hongbin, ZHOU Yiyao, XU Bin, DING Jinjin, WEI Wei. Multi-time Scale Adaptive Reactive Voltage Control for Distribution Networks Based on Voltage Tendency Coefficient [J]. Electric Power, 2021, 54(11): 69-75.
[10]	GONG Guangzheng. Research on and Application of the Control Strategy for Flexibility Improvement of Supercritical Fossil-Fired Power Units [J]. Electric Power, 2017, 50(8): 22-26.
[11]	GAO Feng, MA Shuo, ZHANG Shuang, XU Xiao-yan, GU Yu-jia. Research and Determination of Reserve Requirements in Power System with Significant Wind Power Penetration [J]. Electric Power, 2014, 47(8): 72-78.