动态碳交易下对接轨道交通供电系统的含氢综合能源系统协同优化

谭俊丰; 张凡; 赵帅; 黄彦璐; 周伟; 来金钢

doi:10.19912/j.0254-0096.tynxb.2025-0105

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (6) : 21-33. DOI: 10.19912/j.0254-0096.tynxb.2025-0105

动态碳交易下对接轨道交通供电系统的含氢综合能源系统协同优化

谭俊丰^1,2, 张凡^1,2, 赵帅^1,2, 黄彦璐^1,2, 周伟³, 来金钢³

作者信息 +

CO-OPTIMIZED SCHEDULING OF HYDROGEN-INTEGRATED ENERGY SYSTEM INTERFACING WITH POWER SUPPLY SYSTEM OF RAIL TRANSIT UNDER DYNAMIC CARBON TRADING

Tan Junfeng^1,2, Zhang Fan^1,2, Zhao Shuai^1,2, Huang Yanlu^1,2, Zhou Wei³, Lai Jin'gang³

Author information +

文章历史 +

摘要

为实现智慧综合能源系统（IES）与轨道交通供电系统的智能化互联互动,降低双方供用能成本,同时提升多能流耦合系统供能低碳性和轨道交通用能低碳性,提出一种计及动态阶梯型碳交易机制的含氢IES与轨道交通供电系统协同优化策略。首先,基于IES内的可再生能源和电负荷水平,提出一种考虑动态价格增长率的分段阶梯式碳交易模型,强化碳成本约束的动态性与精准性,为系统低碳调度提供强经济激励。接着,融合燃气轮机（GT）和氢燃料电池（HFC）的电、热输出特性,以卡琳娜（Kalina）循环为中间媒介,将传统热电联产（CHP）模式与氢能产消机组进行深度耦合,设计兼具高效供能与灵活制/储/用氢能力的氢能产消一体化单元,提升能源供给侧的多维灵活性。然后,建立接入轨道交通供电系统的含氢IES协同优化模型,实现轨道交通用能与多异质供能单元的跨系统联合优化,全面挖掘系统低碳经济运行潜力。算例结果表明,所提策略可有效兼顾多能源系统调度的低碳性、经济性以及供能的灵活性,能够为IES与轨道交通供电系统协同运行提供参考。

Abstract

To realize the intelligent interconnection and interaction between the intelligent integrated energy system （IES） and the power supply system of rail transit, a synergistic optimization strategy for the hydrogen-containing IES and the power supply system of rail transit is proposed based on the dynamic ladder-type carbon trading mechanism. This strategy can reduce the cost of energy supply and utilization, while enhancing the low-carbon energy supply of the multi-flow coupling system and the low-carbon energy consumption of the rail transit system. Firstly, a dynamic ladder-type carbon trading model is designed based on the level of renewable energy and loads in IES. Secondly, according to the electric and thermal output characteristics of gas turbine （GT） and hydrogen fuel cell （HFC）, the traditional combined heat and power （CHP） unit and hydrogen energy unit are coupled by the Kalina cycle to develop a hydrogen-containing flexible energy supply unit, which can enhance the flexibility of the energy supply. Then, a hydrogen-containing IES collaborative optimization model connecting to the power supply system of rail transit is established to achieve cross-system joint optimization of rail transit energy consumption and multiple heterogeneous energy supply units, fully exploring the low-carbon economic operation potential of the system. Simulation results show that the proposed strategy can effectively balance the low-carbon economy and flexibility of multi-energy system scheduling, which can provide references for the synergistic operation of IES and power supply system of rail transit.

导出引用

谭俊丰, 张凡, 赵帅, 黄彦璐, 周伟, 来金钢. 动态碳交易下对接轨道交通供电系统的含氢综合能源系统协同优化[J]. 太阳能学报. 2026, 47(6): 21-33 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0105

Tan Junfeng, Zhang Fan, Zhao Shuai, Huang Yanlu, Zhou Wei, Lai Jin'gang. CO-OPTIMIZED SCHEDULING OF HYDROGEN-INTEGRATED ENERGY SYSTEM INTERFACING WITH POWER SUPPLY SYSTEM OF RAIL TRANSIT UNDER DYNAMIC CARBON TRADING[J]. Acta Energiae Solaris Sinica. 2026, 47(6): 21-33 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0105

中图分类号： TM73

参考文献

[1] 安江涛, 刘卫亮, 林永君, 等. 绿证-碳交易融合机制下含氢综合能源系统优化调度[J]. 太阳能学报, 2024, 45(8): 104-114.
AN J T, LIU W L, LIN Y J, et al.Optimization scheduling of hydro-gen-containing integrated energy system under green certificate-carbon trading integration mechanism[J]. Acta energiae solaris sinica, 2024, 45(8): 104-114.
[2] 安源, 苏瑞, 郑申印, 等. 计及碳交易和源-荷侧资源的综合能源系统低碳经济优化[J]. 太阳能学报, 2023, 44(11): 547-555.
AN Y, SU R, ZHENG S Y, et al.Low carbon economic optimization of integrated energy system considering carbon trading and source-load side resources[J]. Acta energiae solaris sinica, 2024, 50(8): 3486-3499.
[3] 李国庆, 王琦, 高东升, 等. 城市轨道交通供电系统低碳节能技术发展综述[J]. 都市快轨交通, 2022, 35(6): 75-82.
LI G Q, WANG Q, GAO D S, et al.Review of the development of a low carbon and energy saving technology for the urban rail transit power supply system[J]. Urban rapid rail transit, 2022, 35(6): 75-82.
[4] XIA S, WU H, MAO Y, et al.Photovoltaic power generation and energy storage capacity cooperative planning method for rail transit self-consistent energy systems considering the impact of DoD[J], IEEE transactions on smart grid, 2025, 16(1): 665-677.
[5] DONG H, TIAN Z, LIAO K, et al.Three-stage energy management of urban rail transit-based microgrid and EV charging station with V2T technology[J], IEEE transactions on transportation electrification, 2025, 11(3): 8604-8616.
[6] 杨京渝, 罗隆福, 阳同光, 等. 计及谷时段风电消纳的储能系统平抑风电功率波动控制策略[J]. 电力系统保护与控制, 2023, 51(10): 131-141.
YANG J Y, LUO L F, YANG T G, et al.Smoothing wind power fluctuation control strategy for an energy storage system considering wind power consumption in the valley period[J]. Power system protection and control, 2023, 51(10): 131-141.
[7] PULAZZA G, ZHANG N, KANG C, et al.Transmission planning with battery-based energy storage transportation for power systems with high penetration of renewable energy[J]. IEEE transactions on power systems, 2021, 36(6): 4928-4940.
[8] GUO Z, WEI W, CHEN L, et al.Impact of energy storage on renewable energy utilization: a geometric description[J]. IEEE transactions on sustainable energy, 2021, 12(2): 874-885.
[9] PAN G, GU W, LU Y, et al.Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage[J]. IEEE transactions on sustainable energy, 2020, 11(4): 2662-2676.
[10] FAN H, LU E, YU W, et al.Multi-agent deep reinforced co-dispatch of energy and hydrogen storage in low-carbon building clusters[J]. IEEE transactions on network science and engineering, 2024, 11(6): 5449-5462.
[11] 张继红, 阚圣钧, 化玉伟, 等. 基于氢气储能的热电联供微电网容量优化配置[J]. 太阳能学报, 2022, 43(6): 428-434.
ZHANG J H, KAN S J, HUA Y W, et al.Capacity optimization of CHP microgrid based on hydrogen energy storage[J]. Acta energiae solaris sinica, 2022, 43(6): 428-434.
[12] LI J, LIN J, SONG Y, et al.Operation optimization of power to hydrogen and heat (P2HH) in ADN coordinated with the district heating network[J]. IEEE transactions sustainable energy, 2019, 10(4): 1672-1683.
[13] YAN Z, LI C, YAO Y, et al.Bi-Level carbon trading model on demand side for integrated electricity-gas system[J]. IEEE transactions on smart grid, 2023, 14(4): 2681-2696.
[14] WANG Y, HU J, LIU N.Energy management in integrated energy system using energy-carbon integrated pricing method[J]. IEEE transactions on sustainable energy, 2023, 14(4): 1992-2005.
[15] LI Z, WU Q, LI H, et al.Distributed risk-averse optimal dispatch for integrated power and transportation system considering carbon trading[J]. IEEE transactions on smart grid, 2024, 15(6): 5583-5594.
[16] 陈庆斌, 杨耿煌, 耿丽清, 等. 考虑源荷不确定性和柔性负荷的综合能源系统低碳运行调度[J]. 太阳能学报, 2025, 46(4): 183-192.
CHEN Q B, YANG G H, GENG L Q, et al.Low-carbon operation scheduling of integrated energy system considering source-load uncertainty and flexible loads[J]. Acta energiae solaris sinica, 2025, 46(4): 183-192.
[17] 陈锦鹏, 胡志坚, 陈嘉滨, 等. 考虑阶梯式碳交易与供需灵活双响应的综合能源系统优化调度[J]. 高电压技术, 2021, 47(9): 3094-3106.
CHEN J P, HU Z J, CHEN J B, et al.Optimal dispatch of integrated energy system considering ladder-type carbon trading and flexible double response of supply and demand[J]. High voltage engineering, 2021, 47(9): 3094-3104.
[18] ARMGHAN H, XU Y, SUN H, et al.Event-triggered multi-time scale control and low carbon operation for electric-hydrogen DC microgrid[J]. Applied energy, 2024, 355: 122149.
[19] XU J, YI Y.Multi-microgrid low-carbon economy operation strategy considering both source and load uncertainty: a Nash bargaining approach[J]. Energy, 2023, 263: 125712.
[20] XUAN A, SHEN X, GUO Q, et al.Two-stage planning for electricity-gas coupled integrated energy system with carbon capture, utilization, and storage considering carbon tax and price uncertainties[J]. IEEE transactions on power systems, 2023, 38(3): 2553-2565.
[21] 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.
LI H W, WU J H, WANG J Y, 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.
[22] 初壮, 赵蕾, 孙健浩, 等. 考虑热能动态平衡的含氢储能的综合能源系统热电优化[J]. 电力系统保护与控制, 2023, 51(3): 1-12.
CHU Z, ZHAO L, SUN J H, et al.Thermoelectric optimization of an integrated energy system with hydrogen energy storage considering thermal energy dynamic balance[J]. Power system protection and control, 2023, 51(3): 1-12.
[23] CHEN Z, FAN F, TAI N, et al.Coordinated energy dispatch and flexibility support for microgrid cluster using rule-based Stackelberg gaming approach[J]. IEEE transactions on industry applications, 2024, 60(1): 1564-1575.
[24] LIU N, YU X, WANG C, et al.Energy sharing management for microgrids with prosumers: a Stackelberg game approach[J]. IEEE transactions on industrial informatics, 2017, 13(3): 1088-1098.
[25] WAN T, TAO Y, QIU J, et al.Distributed energy and carbon emission right trading in local energy systems considering the emission obligation on demand side[J]. IEEE systems journal, 2023, 17(4): 6292-6301.
[26] 秦婷, 刘怀东, 王锦桥, 等. 基于碳交易的电—热—气综合能源系统低碳经济调度[J]. 电力系统自动化, 2018, 42(14): 8-13+22.
QIN T, LIU H D, WANG J Q, et al. Carbon trading based low-carbon economic dispatch for integrated electricity-heat-gas energy system[J]. Automation of electric power systems, 2018, 42(14): 8-13+22.
[27] 刘宇翔, 陈艳波, 田昊欣, 等. 基于两阶段鲁棒优化的轨道交通自洽能源系统新能源-储能规划配置[J]. 高电压技术, 2024, 50(10): 4713-4723.
LIU Y X, CHEN Y B, TIAN H X, et al.New energy and energy storage planning configuration in rail transportation self-consistent energy systems based on two-stage robust optimization[J]. High voltage engineering, 2024, 50(10): 4713-4723.
[28] 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 Y, GUO F Y, ZHONG W Z, et al.Interval multi-objective optimal dispatch of integrated energy system under multiple uncertainty environment[J]. Power system technology, 2022, 46(8): 2964-2975.
[29] 张晓辉, 刘小琰, 钟嘉庆. 考虑奖惩阶梯型碳交易和电-热转移负荷不确定性的综合能源系统规划[J]. 中国电机工程学报, 2020, 40(19): 6132-6142.
ZHANG X H, LIU X Y, ZHONG J Q.Integrated energy system planning considering a reward and punishment ladder-type carbon trading and electric-thermal transfer load uncertainty[J]. Proceedings of the CSEE, 2020, 40(19): 6132-6142.