[1]王金凤,张钊源,张宇晖,等.考虑灵活性和多主体参与的综合能源系统低碳经济调度[J].郑州大学学报(工学版),2027,48(XX):1-10.[doi:10.13705/j.Issn.1671-6833.2026.06.007]
　WANG Jinfeng,ZHANG Zhaoyuan,ZHANG Yuhui,et al.Low Carbon Economic Dispatch of IES Considering Flexibility and Multi-Entity Participation [J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-10.[doi:10.13705/j.Issn.1671-6833.2026.06.007]
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考虑灵活性和多主体参与的综合能源系统低碳经济调度()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
48
期数:
2027年XX
页码:
1-10
栏目:
出版日期:
2027-12-10

文章信息/Info

Title:
Low Carbon Economic Dispatch of IES Considering Flexibility and Multi-Entity Participation
作者:
王金凤1，张钊源1，张宇晖1，王耀斌1，申森林2，荣家鹏2
1.郑州大学 电气与信息工程工程学院，河南 郑州 450001；2.国网焦作供电公司，河南 焦作 454002
Author(s):
WANG Jinfeng1, ZHANG Zhaoyuan1, ZHANG Yuhui1, WANG Yaobin1, SHEN Senlin2, RONG Jiapeng2
1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. State Grid Jiaozuo Electric Power Supply Company, Jiaozuo 454002, China
关键词:
综合能源系统; 灵活性; 多主体; 绿证-碳交易; 经济调度
Keywords:
integrated energy system (IES);  flexibility;  multi-entity;  green certificate - carbon trading;  economic dispatch
分类号:
TM73；TK01
DOI:
10.13705/j.Issn.1671-6833.2026.06.007
文献标志码:
A
摘要:
为了应对高比例可再生能源接入和多能负荷耦合给系统调度带来的巨大挑战，对包含系统运营商、用户聚合商和电动汽车等在内的多主体参与的综合能源系统（Integrated Energy System，IES）调度问题进行研究。首先分析了IES中灵活性需求和供给资源，对灵活性指标进行量化；其次，建立了考虑灵活性和多主体参与的IES低碳经济调度多目标双层优化模型，上层模型考虑IES运营商收益和系统灵活性，并引入绿证( Green Certificate Trade, GCT)-碳交易(Carbon Emissions Trad, CET)机制；下层模型考虑用户聚合商成本和电动汽车自身效益，两层之间通过能源价格和购能量进行交互迭代；最后对所提上层模型采用改进PSO算法进行求解，对下层模型使用CPLEX软件求解。算例结果表明，相对于传统的单目标经济调度，所提模型兼顾了IES的经济性和灵活性，相较于仅考虑运营商的利益，本文模型可以均衡多方主体利益。相较于传统PSO算法，改进PSO算法收敛时迭代次数减少了52.94%，求得的最优解与理想解接近程度提升了10.13%，有着较好的收敛性和寻优性。
Abstract:
To address the significant challenges posed by high-proportion renewable energy integration and multi-energy load coupling to system scheduling, this study investigated the scheduling problem of an integrated energy system (IES) involving system operators, user aggregators, electric vehicles, and other participants. First, the flexibility demand and supply resources in the IES were analyzed, and flexibility indicators were quantified. Subsequently, a multi-objective bi-level optimization model considering flexibility and multi-entity participation was established for the IES’s low-carbon economic dispatch. The upper-level model considered the IES operator’s revenue and system flexibility, incorporating a green certificate-carbon trading mechanism, while the lower-level model accounted for user aggregator costs and electric vehicle self-benefits, with interactions between the two levels through energy prices and purchase quantities. Finally, an improved PSO algorithm was employed to solve the proposed upper-level model, and CPLEX software was used for the lower-level model. The case study results demonstrated that the proposed model balanced system economy and flexibility compared to the traditional single-objective economic dispatch. Compared with only considering the benefits of operators, the proposed model can balance the interests of multiple parties. Additionally, c ompared to the traditional PSO algorithm, the improved PSO algorithm reduced the number of iterations at convergence by 52.94%, improved the closeness of the obtained optimal solution to the ideal solution by 10.13%, and had better convergence and optimization performance.

参考文献/References:

[1] Zhong Haiwang, Zhang Ning, Du Ershun, et al. Planning, operation and market of new power system: research progress and practice[J]. Proceedings of the CSEE, 2024, 44(18): 7084-7104. [钟海旺, 张宁, 杜尔顺, 等. 新型电力系统中的规划运营与电力市场：研究进展与科研实践[J]. 中国电机工程学报, 2024, 44(18): 7084-7104.]
[2] Wu Yongxiao, Xiao Hui, Zeng Linjun, et al. Optimal scheduling of integrated energy systems considering bilateral response of supply and demand[J]. Electric Power Construction, 2024, 45(10): 13-23. [吴永孝, 肖辉, 曾林俊, 等. 考虑供需双边响应的综合能源系统优化调度[J]. 电力建设, 2024, 45(10): 13-23.]
[3] Luo Zhao, Qin Jinghui, Liang Junyu, et al. Operation optimization of integrated energy system with green certificate cross-chain transaction[J]. Power System Technology, 2021, 45(4): 1311-1319. [骆钊, 秦景辉, 梁俊宇, 等. 含绿色证书跨链交易的综合能源系统运行优化[J]. 电网技术, 2021, 45(4): 1311-1319.]
[4] Chen Hao, Ma Gang, Qian Da, et al. Optimization of regional integrated energy systems under green certificate and carbon trading mechanism considering tiered demand response[J]. Integrated Intelligent Energy, 2025, 47(5): 21-30. [陈浩, 马刚, 钱达, 等. 绿证-碳交易机制下考虑阶梯需求响应的区域综合能源系统优化调度[J]. 综合智慧能源, 2025, 47(5): 21-30.]
[5] Li Hongwei, Wu Jiahang, Wang Jiayi, et al. Low-carbon economic dispatch of a wind, solar, and hydrogen storage integrated energy system considering P2G and carbon capture[J]. Power System Protection and Control, 2024, 52(16): 26-36. [李红伟, 吴佳航, 王佳怡, 等. 计及P2G及碳捕集的风光氢储综合能源系统低碳经济调度[J]. 电力系统保护与控制, 2024, 52(16): 26-36.]
[6] Arvanitidis A I, Alamaniotis M. Optimal security constrained economic dispatch in nuclear integrated energy systems[C]//Proceedings of the 2025 IEEE Texas Power and Energy Conference (TPEC). Piscataway: IEEE, 2025: 1-6.
[7] Yuan Tiejiang, Zhang Wenda. A review of research on source-storage-load coordinated planning for new power system[J]. Proceedings of the CSEE, 2025, 45(17): 6664-6683. [袁铁江, 张文达. 新型电力系统源-储-荷协同规划研究综述[J]. 中国电机工程学报, 2025, 45(17): 6664-6683.]
[8] Chicco G, Riaz S, Mazza A, et al. Flexibility from distributed multienergy systems[J]. Proceedings of the IEEE, 2020, 108(9): 1496-1517.
[9] Zhang Jian, Zhang Yuxiao, Zhu Yongsheng, et al. Robust optimal dispatch of electric-gas integrated energy system considering with demand response[J]. Journal of Zhengzhou University (Engineering Science), 2020, 41(6): 66-72. [章健, 张玉晓, 朱永胜, 等. 计及DR的电-气综合能源系统的鲁棒优化调度[J]. 郑州大学学报(工学版), 2020, 41(6): 66-72.]
[10] Wang Jinfeng, Zhang Huihui, Zhu Fangyuan. Evaluation of system operational flexibility of high proportion wind power system based on the typical scene set[J]. Journal of Zhengzhou University (Engineering Science), 2021, 42(6): 93-98. [王金凤, 张惠惠, 祝方圆. 基于典型场景集的高比例风电系统运行灵活性评估[J]. 郑州大学学报(工学版), 2021, 42(6): 93-98.]
[11] Pan Chao, Fan Gongbo, Wang Jinpeng, et al. Low-carbon optimization of electric and heating integrated energy system with flexible resource participation[J]. Transactions of China Electrotechnical Society, 2023, 38(6): 1633-1647. [潘超, 范宫博, 王锦鹏, 等. 灵活性资源参与的电热综合能源系统低碳优化[J]. 电工技术学报, 2023, 38(6): 1633-1647.]
[12] Wang Yunchu, Zhang Zhi, Lu Feng, et al. Stepwise incentive mechanism of demand response considering uncertainty of user behaviors[J]. Automation of Electric Power Systems, 2022, 46(20): 64-73. [王韵楚, 张智, 卢峰, 等. 考虑用户行为不确定性的阶梯式需求响应激励机制[J]. 电力系统自动化, 2022, 46(20): 64-73.]
[13] Yang Mao, Wang Yuxin, Wang Jinxin, et al. Optimal scheduling of integrated energy systems in low-carbon communities considering flexibility of resources and segmental control of solid oxide fuel cells[J]. Journal of Modern Power Systems and Clean Energy, 2024, 13(3): 915-927.
[14] Zhang Liang, Sun Chenglong, Cai Guowei, et al. Charging and discharging optimization strategy for electric vehicles considering elasticity demand response[J]. eTransportation, 2023, 18: 100262.

[15] Ma Yan, Guo Xingchen, Chen Ruke, et al. Coordinated planning of electricity-gas integrated energy system considering multi-agent profit[J] . Smart Power, 2021, 49(2) : 1-6. [马艳, 郭星辰, 陈汝科, 等. 基于多主体收益的电-气综合能源系统协调规划研究[J] . 智慧电力, 2021, 49(2) : 1-6. ]
[16] Li Yang, Wang Chunling, Li Guoqing, et al. Optimal scheduling of integrated demand response-enabled integrated energy systems with uncertain renewable generations: a Stackelberg game approach[ J] . Energy Conversion and Management, 2021, 235: 113996.
[17] Yang Jie, Xu Wenya, Ma Kai, et al. Integrated demandside management for multi-energy system based on noncooperative game and multi-energy pricing [J] . Sustainable Energy, Grids and Networks, 2023, 34: 101047.
[18] Huang Yuehua, Qiu Yuancheng, Zhang Lei, et al. Optimal scheduling of electricity-heat energy system considering Stackelberg game [J] . Proceedings of the CSU-EPSA, 2024, 36 (9) : 115 - 123. [ 黄悦华, 邱 元 城, 张磊, 等. 考虑主从博弈的电热能源系统优化调度[J] .电力系统及其自动化学报, 2024, 36(9) : 115-123. ]
[19] Chen Ji, Wang Bing, Chen Yuquan, et al. A Multi-agent collaborative optimization method for integrated energy systems based on green certificate-stepped carbon trading joint mechanism[J] . Smart Power, 2025, 53 (9) :10 -18. [陈霁, 王冰, 陈玉全, 等. 基于绿证 -阶梯碳交易联合机制的综合能源系统多主体协同优化方法[J] . 智慧电力,2025,53(9) : 10-18. ]
[20] Liao Hui, Li Yaodong, Gong Xianfu, et al. Low carbon dispatch of the park integrated energy system based on the electric vehicles flexible load storage characteristics [J]. Thermal Science, 2024, 28(1B) : 659-673.
[21] Wei Le, Zhang Junsong, Fang Fang, et al. Load recovery strategy of electric-gas-thermal integrated energy system based on MST-improved-PSO[J]. Science Technology and Engineering, 2023, 23 (32) : 13834 - 13844. [ 魏乐, 张峻松, 房方, 等. 基于 MST-改进 PSO 的电-气-热综合能源系统负荷恢复策略[J] . 科学技术与工程, 2023, 23(32) : 13834-13844. ]
[22] Liu Xinghua, Xie Shenghan, Tian Jiaqiang, et al. Twostage scheduling strategy for integrated energy systems considering renewable energy consumption[J] . IEEE Access, 2022, 10: 83336-83349.
[23] Huang Kun, Fu Ming, Ding Xiaohua. Security and economic integration scheduling of electricity-heat integrated energy system [J] . IEEE Access, 2023, 11: 112236-112247.
[24] Guo Qin, Zheng Qiaoxian. Multi-strategy improved dung beetle optimizer and its application[ J] . Journal of Frontiers of Computer Science & Technology, 2024, 18(4) : 930-946. [郭琴, 郑巧仙. 多策略改进的蜣螂优化算法及其应用[ J] . 计算机科学与探索, 2024, 18(4) :930-946. ]
[25] Du Huachen. Research on collaborative optimization configuration of integrated energy systems considering electricity heating cooling demand response[D] . Jilin: Northeast Dianli University, 2025. [杜华琛.考虑电-热-冷需求响应的综合能源系统协同优化配置研究[D] . 吉林: 东北电力大学, 2025. ]
[26] Lu Jiafu, Liang Ning, Xu Huihui, et al. Coordinated optimal dispatch of multiple integrated energy systems under dynamic carbon-green certificate trading interaction mechanism[J] . Automation of Electric Power Systems, 2025,49(9) : 52-60. [卢佳富, 梁宁, 徐慧慧, 等. 动态碳-绿证交易交互机制下多综合能源系统协调优化调度[J] . 电力系统自动化, 2025, 49(9) : 52-60. ]

备注/Memo

备注/Memo:
基金项目：国家自然科学基金资助项目(62203395) 收稿日期：2026-02-03；修订日期：2026-03-20
作者简介：王金凤(1977—)，女，河南商丘人，博士，郑州大学副教授，硕士生导师，主要从事电力系统规划与运行、需求侧管理等研究，E-mail：wangjinfeng@zzu.edu.cn。
更新日期/Last Update: 2026-06-29