计及源-荷不确定性的低碳综合能源系统主从博弈优化调度

赵宇洋, 唐艺帆, 梁钰枚, 韦翌帆, 孙鹤旭

太阳能学报 ›› 2026, Vol. 47 ›› Issue (9) : 493-504.

PDF(2203 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(2203 KB)
太阳能学报 ›› 2026, Vol. 47 ›› Issue (9) : 493-504. DOI: 10.19912/j.0254-0096.tynxb.2025-0664

计及源-荷不确定性的低碳综合能源系统主从博弈优化调度

  • 赵宇洋1,2, 唐艺帆1, 梁钰枚1, 韦翌帆1, 孙鹤旭1,2
作者信息 +

STACKELBERG GAME OPTIMAL SCHEDULING FOR LOW-CARBON INTEGRATED ENERGY SYSTEMS CONSIDERING SOURCE-LOAD UNCERTAINTY

  • Zhao Yuyang1,2, Tang Yifan1, Liang Yumei1, Wei Yifan1, Sun Hexu1,2
Author information +
文章历史 +

摘要

为实现综合能源系统低碳经济运行,兼顾能源运营商和用户双方利益,提出一种计及源-荷不确定性的含氢综合能源系统主从博弈优化调度方法。基于主从博弈理论,构建以综合能源运营商为领导者、负荷聚合商为跟随者的双层定价模型,并采用系数可调的鲁棒优化方法量化处理不确定性。针对模型的双层嵌套结构、多目标优化特性及不确定性约束,提出基于折衷规划的多目标优化方法,并结合自适应差分进化算法实现双层博弈求解。最后,依托崇礼风光耦合制氢示范项目数据进行算例分析,结果表明所提优化策略可提升能源系统运行安全性,可实现综合能源运营商与负荷聚合商的利益均衡。

Abstract

To balance the interests of energy operators and end-users while achieving low-carbon and economical operation of integrated energy systems (IES), a Stackelberg game-based optimal scheduling method for hydrogen-containing integrated energy systems (HIES) considering source-load uncertainties is proposed. Based on Stackelberg game theory, a bi-level pricing model is constructed where the integrated energy operator (IEO) acts as the leader and the load aggregator (LA) as the follower. A robust optimization method with adjustable coefficients is adopted to quantify the uncertain parameters. To cope with the bi-level nested structure, multi-objective features and uncertain constraints of the model, a multi-objective optimization approach based on compromise programming is combined with the adaptive differential evolution (ADE) algorithm for bi-level game solution. Finally, a case study using data from the Chongli wind-solar-hydrogen coupled demonstration project is conducted. The results demonstrate that the proposed strategy enhances the operational security of energy networks and achieves balanced benefit distribution between IEO and LA.

关键词

优化调度 / 可再生能源 / 不确定性分析 / 综合能源系统 / 博弈论 / 需求响应 / 多目标优化

Key words

optimal scheduling / renewable energy / uncertainty analysis / integrated energy systems / game theory / demand response / multi-objective optimization

引用本文

导出引用
赵宇洋, 唐艺帆, 梁钰枚, 韦翌帆, 孙鹤旭. 计及源-荷不确定性的低碳综合能源系统主从博弈优化调度[J]. 太阳能学报. 2026, 47(9): 493-504 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0664
Zhao Yuyang, Tang Yifan, Liang Yumei, Wei Yifan, Sun Hexu. STACKELBERG GAME OPTIMAL SCHEDULING FOR LOW-CARBON INTEGRATED ENERGY SYSTEMS CONSIDERING SOURCE-LOAD UNCERTAINTY[J]. Acta Energiae Solaris Sinica. 2026, 47(9): 493-504 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0664
中图分类号: TM614   

参考文献

[1] Yang T, Geng Y N, Wang H Y.Dynamic energy flow optimization of electricity and hydrogen-enriched natural gas integrated energy systems[J]. International Journal of Hydrogen Energy, 2025, 109: 1274-1285.
[2] 谭玲玲, 汤伟, 楚冬青, 等. 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.
Tan L L, Tang W, Chu D Q, et al.Optimal dispatching of electric-heat-hydrogen integrated energy system based on Stackelberg game[J]. Electric Power, 2024, 57(9): 136-145.
[3] Dong X X, Wu J, Hao J, et al.Stochastic optimal coordination of hydrogen-enabled zero-carbon integrated energy systems in buildings[J]. International Journal of Hydrogen Energy, 2025, 111: 1-11.
[4] 梁涛, 张晓婵, 谭建鑫, 等. 基于PPO算法的电热氢耦合综合能源系统优化调度[J]. 太阳能学报, 2024, 45(11): 73-83.
Liang T, Zhang X C, Tan J X, et al.Optimization and scheduling of electrothermal hydrogen coupled comprehensive energy system based on PPO algorithm[J]. Acta Energiae Solaris Sinica, 2024, 45(11): 73-83.
[5] Wang Z W, Du B H, Li Y, et al.Multi-time scale scheduling optimization of integrated energy systems considering seasonal hydrogen utilization and multiple demand responses[J]. International Journal of Hydrogen Energy, 2024, 67: 728-749.
[6] Rong F H, Yu Z T, Zhang K F, et al.Performance evaluation and multi-objective optimization of hydrogen-based integrated energy systems driven by renewable energy sources[J]. Energy, 2024, 313: 133698.
[7] 薛东, 段立强, 高统彤, 等. 考虑多重特征与不确定性度量的综合能源系统负荷预测研究[J]. 太阳能学报, 2024, 45(7): 379-388.
Xue D, Duan L Q, Gao T T, et al.Study of integrated energy system load forecasting considering multiple characteristics and uncertainty measures[J]. Acta Energiae Solaris Sinica, 2024, 45(7): 379-388.
[8] 胡俊杰, 童宇轩, 刘雪涛, 等. 计及精细化氢能利用的综合能源系统多时间尺度鲁棒优化策略[J]. 电工技术学报, 2024, 39(5): 1419-1435.
Hu J J, Tong Y X, Liu X T, et al.Multi-time-scale robust optimization strategy for integrated energy system considering the refinement of hydrogen energy use[J]. Transactions of China Electrotechnical Society, 2024, 39(5): 1419-1435.
[9] Budiman F N, Ramli M A M, Milyani A H, et al. Stochastic optimization for the scheduling of a grid-connected microgrid with a hybrid energy storage system considering multiple uncertainties[J]. Energy Reports, 2022, 8: 7444-7456.
[10] 李欣, 陈英彰, 李涵文, 等. 考虑碳交易的电-热综合能源系统两阶段鲁棒优化低碳经济调度[J]. 电力建设, 2024, 45(6): 58-69.
Li X, Chen Y Z, Li H W, et al.Two-stage robust optimization of low-carbon economic dispatch for electricity-thermal integrated energy system considering carbon trade[J]. Electric Power Construction, 2024, 45(6): 58-69.
[11] Wang Y W, Song M H, Jia M Y, et al.Multi-objective distributionally robust optimization for hydrogen-involved total renewable energy CCHP planning under source-load uncertainties[J]. Applied Energy, 2023, 342: 121212.
[12] 单文亮, 刘静, 徐宪东, 等. 基于可调鲁棒优化的工业园区供能系统自发电灵活性评估[J]. 高电压技术, 2023, 49(4): 1402-1411.
Shan W L, Liu J, Xu X D, et al.Evaluation of the electricity flexibility of energy supply system in industrial park using adjustable robust optimization framework[J]. High Voltage Engineering, 2023, 49(4): 1402-1411.
[13] 韦翌帆. 考虑源-荷不确定性和低碳目标的含氢综合能源系统优化[D]. 石家庄: 河北科技大学, 2024.
Wei Y F.Optimization of hydrogen-containing integrated energy system considering source-load uncertainty and low-carbon goal[D]. Shijiazhuang: Hebei University of Science and Technology, 2024.
[14] 杜佳男, 韩肖清, 李廷钧, 等. 考虑电价不确定性和博弈欺诈行为的多微网电能合作运行优化策略[J]. 电网技术, 2022, 46(11): 4217-4227.
Du J N, Han X Q, Li T J, et al.Optimization strategy of multi-microgrid electric energy cooperative operation considering electricity price uncertainty and game cheating behaviors[J]. Power System Technology, 2022, 46(11): 4217-4227.
[15] 王秀丽, 闫璐, 刘豹, 等. 基于合作-非合作博弈的光储荷网协同运行策略[J]. 太阳能学报, 2023, 44(5): 128-138.
Wang X L, Yan L, Liu B, et al.Cooperative operational strategies of photovoltaic, energy storage, load and power grid based on cooperative and non-cooperative game[J]. Acta Energiae Solaris Sinica, 2023, 44(5): 128-138.
[16] 邹鑫, 张琪, 张倩. 基于双层博弈的社区综合能源系统多主体优化运行[J]. 电力科学与工程, 2025, 41(2): 59-69.
Zou X, Zhang Q, Zhang Q.Multi-agent optimal operation of community integrated energy system based on two-level game[J]. Electric Power Science and Engineering, 2025, 41(2): 59-69.
[17] 刘涛, 王瑞琪, 刘松, 等. 考虑碳-绿证交易与需求响应的综合能源系统合作博弈调度[J]. 电力需求侧管理, 2024, 26(6): 8-15.
Liu T, Wang R Q, Liu S, et al.Collaborative game scheduling of integrated energy systems considering carbon-green certificate trading and demand response[J]. Power Demand Side Management, 2024, 26(6): 8-15.
[18] 王军, 曹雷, 陈希亮, 等. 多智能体博弈强化学习研究综述[J]. 计算机工程与应用, 2021, 57(21): 1-13.
Wang J, Cao L, Chen X L, et al.Overview on reinforcement learning of multi-agent game[J]. Computer Engineering and Applications, 2021, 57(21): 1-13.
[19] Fan S L, Li Z S, Wang J H, et al.Cooperative economic scheduling for multiple energy hubs: a bargaining game theoretic perspective[J]. IEEE Access, 2018, 6: 27777-27789.
[20] 陈燚, 何山. 多园区综合能源系统互联两阶段分布式运行优化策略[J]. 电网与清洁能源, 2024, 40(8): 18-25, 35.
Chen Y, He S.Optimization strategy of the two-stage distributed operation for multi-park integrated energy system interconnection[J]. Advances of Power System & Hydroelectric Engineering, 2024, 40(8): 18-25, 35.

基金

河北省省级科技计划(23284502Z; 242Q4502Z)

PDF(2203 KB)

Accesses

Citation

Detail

段落导航
相关文章

/

〈 〉