区域综合能源系统多类型储能协同优化与运行策略

doi:10.11930/j.issn.1004-9649.202311024

中国电力 ›› 2024, Vol. 57 ›› Issue (9): 205-216.DOI: 10.11930/j.issn.1004-9649.202311024

区域综合能源系统多类型储能协同优化与运行策略

高明非¹(), 韩中合¹^,²(), 赵斌³, 李鹏¹^,², 吴迪¹^,²

1. 华北电力大学动力工程系，河北保定　071003
2. 河北省低碳高效发电技术重点实验室（华北电力大学），河北保定　071003
3. 长沙理工大学能源与动力工程学院，湖南长沙　410114

收稿日期:2023-11-06 出版日期:2024-09-28 发布日期:2024-09-23
作者简介:高明非（1992—），男，博士研究生，从事综合能源系统与多元储能优化配置研究，E-mail：mfgao2011@163.com
韩中合（1964—），男，通信作者，博士，教授，从事综合能源系统优化设计研究，E-mail：han_zhonghe@163.com
基金资助:
国家自然科学基金资助项目（52206247）；河北省自然科学基金资助项目（E2022502017）；湖南省教育厅科学研究重点项目（22A0217）；北京市自然科学基金资助项目（3224069）。

Coordinated Optimization and Operational Strategy for Multi-type Energy Storage in Regional Integrated Energy Systems

Mingfei GAO¹(), Zhonghe HAN¹^,²(), Bin ZHAO³, Peng LI¹^,², Di WU¹^,²

1. Department of Power Engineering, North China Electric Power University, Baoding 071003, China
2. Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology (North China Electric Power University), Baoding 071003, China
3. College of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, China

Received:2023-11-06 Online:2024-09-28 Published:2024-09-23
Supported by:
This work is supported by the National Natural Science Foundation of China (No.52206247); Natural Science Foundation of Hebei Province (No.E2022502017); Scientific Research Foundation of the Education Department of Hunan Province (No.22A0217) and Beijing Natural Science Foundation (No.3224069).

摘要/Abstract

摘要：

针对区域综合能源系统中多元异质能源的运行优化问题，提出了一种针对多能源协同供应的多储能系统协同运行优化方法。首先，结合综合能源系统的架构特征和系统的运行需求，建立了基于多目标优化的多储能系统协同运行优化模型。然后，综合考虑经济、环境和能效3个目标，采用改进的多目标粒子群优化算法结合逼近理想解排序法优化系统运行参数。最后，以国内某区域综合能源系统为例进行了案例分析，并探究了不同储能策略对系统的运行性能和协同优化效果的影响。研究发现，实施多储能系统协同优化策略，可以显著提升系统的经济性、环保性和能源效率。所提策略为区域综合能源系统中的多储能系统协同优化和多能源协同供应提供了可行的解决方案。

关键词: 综合能源系统, 多能互补, 多类型储能, 多目标, 协同优化

Abstract:

To address the operational optimization issues of multiple heterogeneous energy in regional integrated energy systems, a coordinated operational optimization method for multi-energy storage systems aimed at multi-energy synergistic supply is proposed. Firstly, a coordinated operational optimization model based on multi-objective optimization was established for multi-energy storage systems by combining the architectural features of integrated energy systems with their operational requirements. And then, by taking into account three objectives of economy, environment, and energy efficiency, the model was used to optimize the operational parameters of systems by utilizing the improved multi-objective particle swarm optimization (MOPSO) algorithm in conjunction with the TOPSIS method. Finally, a case study was conducted using an actual regional integrated energy system in China, to explore the impact of different energy storage strategies on the system's operational performance and coordinated optimization effects. The research found that implementation of the coordinated optimization strategy for multi-energy storage systems can significantly enhance the system's performance in terms of economy, environmental protection, and energy efficiency. This study offers a viable solution for coordinated optimization of the multi-energy storage systems and synergistic supply of the multiple energies within regional integrated energy systems.

Key words: integrated energy system, multi-energy complementarity, multi-type energy storage, multi-objective, coordinated optimization

高明非, 韩中合, 赵斌, 李鹏, 吴迪. 区域综合能源系统多类型储能协同优化与运行策略[J]. 中国电力, 2024, 57(9): 205-216.

Mingfei GAO, Zhonghe HAN, Bin ZHAO, Peng LI, Di WU. Coordinated Optimization and Operational Strategy for Multi-type Energy Storage in Regional Integrated Energy Systems[J]. Electric Power, 2024, 57(9): 205-216.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311024

https://www.electricpower.com.cn/CN/Y2024/V57/I9/205

图/表 10

图 1 区域综合能源系统典型架构

Fig.1 Typical architecture of a regional integrated energy system

图 2 综合能源系统运行策略

Fig.2 Integrated energy system operational strategy

图 3 模型求解算法流程

Fig.3 Model solving algorithm process

表 1 主要设备参数

Table 1 Main equipment parameters

设备名称	参数类型	取值	初始成本/元
CCHP机组	功率/kW	＜500	6800
光伏板	安装数量/个	＜2000	1960
集热器	安装数量/个	＜1000	3000
储电	容量/(kW·h)	＜3000	1100
储热	容量/(kW·h)	＜8000	300
储冷	容量/(kW·h)	＜8000	300

图 4 典型日冷、热、电用户负荷

Fig.4 Cooling, heating and power load of typical days

图 5 帕累托解集和最优解

Fig.5 Pareto solution set and optimal solution

表 2 协同优化结果对比

Table 2 Comparison of coordinated optimization results

优化案例	功率/kW						储能容量/(kW·h)			年值成本/ (万元·年)	碳排量/kg	㶲效率
优化案例	光伏	太阳能集热器	燃气轮机	燃气锅炉	吸收式制冷机	电制冷空调	电	热	冷	年值成本/ (万元·年)	碳排量/kg	㶲效率
方案1	596.53	1069.03	403.69	1683.33	748.32	341.66	0	0	0	4.71	2411.72	0.62
方案2	537.93	847.75	222.81	1749.90	593.43	300.25	1503.61	0	0	4.97	2293.44	0.81
方案3	628.02	1300.16	255.61	1434.74	910.11	290.56	0	3106.75	61.98	4.54	2391.17	0.61
方案4	515.78	725.64	246.72	1438.85	507.95	312.78	1323.15	2795.25	156.68	4.73	2379.44	0.76

图 6 性能优化指标对比

Fig.6 Comparison of performance optimization parameters

图 7 优化运行结果对比

Fig.7 Comparison of optimal operation results

图 8 协同运行供能结构分析

Fig.8 Analysis of synergistic energy supply structure

参考文献 28

1	贾宏杰, 王丹, 徐宪东, 等. 区域综合能源系统若干问题研究[J]. 电力系统自动化, 2015, 39 (7): 198- 207.
	JIA Hongjie, WANG Dan, XU Xiandong, et al. Research on some key problems related to integrated energy systems[J]. Automation of Electric Power Systems, 2015, 39 (7): 198- 207.
2	陈泉, 宗炫君, 李梦源. 计及节能性的多异质能源系统多目标协同优化[J]. 中国电力, 2023, 56 (06): 148- 157.
	CHEN Quan, ZONG Xuanjun, LI Mengyuan. Multi-objective cooperative optimization of multi-heterogeneous energy system considering energy conservation[J]. Electric Power, 2023, 56 (06): 148- 157.
3	亢猛, 钟祎勍, 石鑫, 等. 计及负荷供给可靠性的园区综合能源系统两阶段优化方法研究[J]. 发电技术, 2023, 44 (01): 25- 35.
	KANG Meng, ZHONG Yiqing, SHI Xin, et al. Research on two-stage optimization approach of community integrated energy system considering load supply reliability[J]. Power Generation Technology, 2023, 44 (01): 25- 35.
4	李承周, 王宁玲, 窦潇潇, 等. 多能源互补分布式能源系统集成研究综述及展望[J]. 中国电机工程学报, 2023, 43 (18): 7127- 7150.
	LI Chengzhou, WANG Ningling, DOU Xiaoxiao, et al. Review and prospect on the system integration of distributed energy system with the complementation of multiple energy sources[J]. Proceedings of the CSEE, 2023, 43 (18): 7127- 7150.
5	彭宇文, 李瑞, 周永旺, 等. 基于IGDT和PSO-SA的综合能源系统鲁棒优化调度方法[J]. 广东电力, 2023, 36 (09): 60- 71.
	PENG Yuwen, LI Rui, ZHOU Yongwang, et al. Robust optimal scheduling method for integrated energy system based on IGDT and PSO-SA[J]. Guangdong Electric Power, 2023, 36 (09): 60- 71.
6	LI H R, SUN B, ZHANG C H. Capacity design of a distributed energy system based on integrated optimization and operation strategy of exergy loss reduction[J]. Energy Conversion and Management, 2021, 231, 113648. DOI
7	CHEN L M, WU J K, WU F, et al. Energy flow optimization method for multi-energy system oriented to combined cooling, heating and power[J]. Energy, 2020, 211, 118536. DOI
8	WU D, HAN Z H, LIU Z J, et al. Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system[J]. Energy, 2021, 217, 119311. DOI
9	李鹏, 王加浩, 黎灿兵, 等. 计及源荷不确定性与设备变工况特性的园区综合能源系统协同优化运行方法[J]. 中国电机工程学报, 2023, 43 (20): 7802- 7812.
	LI Peng, WANG Jiahao, LI Canbing, et al. Collaborative optimal scheduling of the community integrated energy system considering source-load uncertainty and equipment off-design performance[J]. Proceedings of the CSEE, 2023, 43 (20): 7802- 7812.
10	李鹏, 王加浩, 王子轩, 等. 基于多元能量供需–成本映射分析的园区综合能源系统协同优化运行方法[J]. 中国电机工程学报, 2023, 43 (11): 4307- 4319.
	LI Peng, WANG Jiahao, WANG Zixuan, et al. Collaborative optimal scheduling of the community integrated energy system based on multi-energy supply/demand-cost mapping analysis[J]. Proceedings of the CSEE, 2023, 43 (11): 4307- 4319.
11	LIU Z J, GUO J C, WU D, et al. Two-phase collaborative optimization and operation strategy for a new distributed energy system that combines multi-energy storage for a nearly zero energy community[J]. Energy Conversion and Management, 2021, 230, 113800. DOI
12	高明非, 张策, 解彤, 等. 考虑风光消纳的综合能源系统多元储能优化配置方法[J]. 动力工程学报, 2023, 43 (6): 796- 804.
	GAO Mingfei, ZHANG Ce, XIE Tong, et al. Multiple energy storage optimal configuration method for comprehensive energy system considering wind/photovoltaic power accommodation[J]. Journal of Chinese Society of Power Engineering, 2023, 43 (6): 796- 804.
13	崔杨, 郭福音, 仲悟之, 等. 多重不确定性环境下的综合能源系统区间多目标优化调度[J]. 电网技术, 2022, 46 (8): 2964- 2975.
	CUI Yang, GUO Fuyin, ZHONG Wuzhi, et al. Interval multi-objective optimal dispatch of integrated energy system under multiple uncertainty environment[J]. Power System Technology, 2022, 46 (8): 2964- 2975.
14	邓杰, 姜飞, 王文烨, 等. 考虑电热柔性负荷与氢能精细化建模的综合能源系统低碳运行[J]. 电网技术, 2022, 46 (5): 1692- 1702.
	DENG Jie, JIANG Fei, WANG Wenye, et al. Low-carbon optimized operation of integrated energy system considering electric-heat flexible load and hydrogen energy refined modeling[J]. Power System Technology, 2022, 46 (5): 1692- 1702.
15	GUO J C, LIU Z J, WU X, et al. Two-layer co-optimization method for a distributed energy system combining multiple energy storages[J]. Applied Energy, 2022, 322, 119486. DOI
16	ZHANG H C, CAO Q, GAO H, et al. Optimum design of a multi-form energy hub by applying particle swarm optimization[J]. Journal of Cleaner Production, 2020, 260, 121079. DOI
17	王永利, 向皓, 李淑清. 考虑冷热电三联供系统耦合特性的区域综合能源系统运行优化[J]. 科学技术与工程, 2023, 23 (18): 7787- 7797.
	WANG Yongli, XIANG Hao, LI Shuqing. Regional integrated energy system considering combined cooling heating and power system coupling characteristics on operation optimization[J]. Science Technology and Engineering, 2023, 23 (18): 7787- 7797.
18	GUO W S, WANG Q, LIU H Y, et al. Multi-energy collaborative optimization of park integrated energy system considering carbon emission and demand response[J]. Energy Reports, 2023, 9, 3683- 3694. DOI
19	韩旭, 周峻毅, 王小东, 等. 基于穷举搜索法的城市建筑CCHP系统优化配置[J]. 动力工程学报, 2023, 43 (7): 923- 929.
	HAN Xu, ZHOU Junyi, WANG Xiaodong, et al. Optimal configuration of urban building CCHP system based on exhaustive search method[J]. Journal of Chinese Society of Power Engineering, 2023, 43 (7): 923- 929.
20	薛凯, 王帅, 马金鹏, 等. 工业园区分布式综合能源系统的规划与调度[J]. 化工进展, 2023, 42 (7): 3510- 3519.
	XUE Kai, WANG Shuai, MA Jinpeng, et al. Planning and dispatch of distributed integrated energy systems for industrial parks[J]. Chemical Industry and Engineering Progress, 2023, 42 (7): 3510- 3519.
21	PAN C Y, FAN H T, ZHANG R X, et al. An improved multi-timescale coordinated control strategy for an integrated energy system with a hybrid energy storage system[J]. Applied Energy, 2023, 343, 121137. DOI
22	刘晓鸥, 葛少云. 区域综合能源系统的能效定义及其相关性分析[J]. 电力系统自动化, 2020, 44 (8): 8- 18.
	LIU Xiaoou, GE Shaoyun. Definition and correlation analysis on energy utilization efficiency of regional integrated energy system[J]. Automation of Electric Power Systems, 2020, 44 (8): 8- 18.
23	肖冰, 吴晓丹, 尹宏学, 等. 蒙东地区适应新能源消纳的储能系统配置效果分析[J]. 热力发电, 2020, 49 (7): 13- 20.
	XIAO Bing, WU Xiaodan, YIN Hongxue, et al. Configuration effect of energy storage system in Mengdong grid for new energy consumption[J]. Thermal Power Generation, 2020, 49 (7): 13- 20.
24	WANG J J, LIU Y, REN F K, et al. Multi-objective optimization and selection of hybrid combined cooling, heating and power systems considering operational flexibility[J]. Energy, 2020, 197, 117313. DOI
25	黄宇, 王宇涛, 李淑琴, 等. 计及㶲分析的综合能源系统多目标优化调度[J]. 太阳能学报, 2022, 43 (7): 30- 38.
	HUANG Yu, WANG Yutao, LI Shuqin, et al. Multi-objective optimal scheduling of integrated energy system with thermodynamic exergy analysis method[J]. Acta Energiae Solaris Sinica, 2022, 43 (7): 30- 38.
26	WANG M, ZHENG J H, LI Z G, et al. Multi-attribute decision analysis for optimal design of park-level integrated energy systems based on load characteristics[J]. SSRN Electronic Journal, 2022, 254, 124379.
27	李建林, 谭宇良, 王含, 等. 配网及光储微网储能系统配置优化策略[J]. 高电压技术, 2022, 48 (5): 1893- 1902.
	LI Jianlin, TAN Yuliang, WANG Han, et al. Research on configuration optimization of energy storage system in distribution network and optical storage microgrid[J]. High Voltage Engineering, 2022, 48 (5): 1893- 1902.
28	GAO M F, HAN Z H, ZHAO B, et al. Optimal planning method of multi-energy storage systems based on the power response analysis in the integrated energy system[J]. Journal of Energy Storage, 2023, 73, 109015. DOI

[1]	李湃, 卢慧, 李驰, 杜洪博. 多能互补发电系统电/热储能容量双层优化配置方法[J]. 中国电力, 2025, 58(3): 55-64.
[2]	周建华, 梁昌誉, 史林军, 李杨, 易文飞. 计及阶梯式碳交易机制的综合能源系统优化调度[J]. 中国电力, 2025, 58(2): 77-87.
[3]	张玉敏, 尹延宾, 吉兴全, 叶平峰, 孙东磊, 宋爱全. 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.
[4]	胡景成, 范耘豪, 朱同, 陈珍萍. 基于同态加密的综合能源系统完全分布式低碳经济调度[J]. 中国电力, 2025, 58(2): 164-175.
[5]	刘文军, 董伟杰, 陈远扬, 何书耘, 陈剑, 贾东强. 新能源高渗透配电网柔性多状态开关的多目标优化控制策略[J]. 中国电力, 2025, 58(1): 85-92.
[6]	陆海, 张浩, 陈晓云, 周苏洋. 基于双层博弈的多能源网络协同规划方法[J]. 中国电力, 2025, 58(1): 93-99.
[7]	鲁玲, 苑涛, 杨波, 李欣, 鲁洋, 蒲秋平, 张鑫. 计及㶲效率和多重不确定性的区域综合能源系统双层优化[J]. 中国电力, 2025, 58(1): 128-140.
[8]	谭玲玲, 汤伟, 楚冬青, 李竞锐, 张玉敏, 吉兴全. 基于主从博弈的电热氢综合能源系统优化运行[J]. 中国电力, 2024, 57(9): 136-145.
[9]	贾东梨, 杨晓雨, 刘科研, 叶学顺, 李昭. 考虑净负荷不确定性的配电网协同调度[J]. 中国电力, 2024, 57(9): 169-180.
[10]	王辉, 周珂锐, 吴作辉, 邹智超, 李欣. 含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度[J]. 中国电力, 2024, 57(8): 214-226.
[11]	景巍巍, 王强, 程好, 王博, 岳付昌, 王沉, 王文学. 电热综合能源系统稳态与区间潮流计算快速解耦新方法[J]. 中国电力, 2024, 57(7): 203-213.
[12]	苏娟, 李拓, 刘峻玮, 夏越, 杜松怀. 综合能源系统下虚拟储能建模方法与应用场景研究综述及展望[J]. 中国电力, 2024, 57(6): 53-68.
[13]	陈兴龙, 曹喜民, 陈洁, 刘俊, 张育超, 包洪印. 绿证-碳交易机制下热电灵活响应的园区综合能源系统优化调度[J]. 中国电力, 2024, 57(6): 110-120.
[14]	赵会茹, 姚满宇, 李兵抗, 谢光龙, 丁智华, 胡臻达. 考虑乡村振兴贡献度的农网项目投资决策模型[J]. 中国电力, 2024, 57(6): 181-192.
[15]	胡福年, 张彭成, 周小博, 陈军. 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.

区域综合能源系统多类型储能协同优化与运行策略

Coordinated Optimization and Operational Strategy for Multi-type Energy Storage in Regional Integrated Energy Systems

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 28

相关文章 15

编辑推荐

Metrics

模态框（Modal）标题

区域综合能源系统多类型储能协同优化与运行策略

Coordinated Optimization and Operational Strategy for Multi-type Energy Storage in Regional Integrated Energy Systems

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 28

相关文章 15

编辑推荐

Metrics