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赵宇洋, 唐艺帆, 梁钰枚, 等. 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.
赵宇洋, 唐艺帆, 梁钰枚, et al. 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]. 2026, 47(9): 493-504.
赵宇洋, 唐艺帆, 梁钰枚, 等. 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. DOI: 10.19912/j.0254-0096.tynxb.2025-0664.
赵宇洋, 唐艺帆, 梁钰枚, et al. 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]. 2026, 47(9): 493-504. DOI: 10.19912/j.0254-0096.tynxb.2025-0664.
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。
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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