LOW-CARBON ECONOMIC DISPATCH OF INTEGRATED ENERGY SYSTEM CONSIDERING WIND POWER-PHOTOVOLTAIC SYNTHESIS OF GREEN AMMONIA AND AMMONIA -BLENDED GAS

Cao Hui; Yang Peihong; Zhang Xiaoming; Zhang Xin; Zhang Jihong; Fan Lulu

doi:10.19912/j.0254-0096.tynxb.2025-1116

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 274-285. DOI: 10.19912/j.0254-0096.tynxb.2025-1116

LOW-CARBON ECONOMIC DISPATCH OF INTEGRATED ENERGY SYSTEM CONSIDERING WIND POWER-PHOTOVOLTAIC SYNTHESIS OF GREEN AMMONIA AND AMMONIA -BLENDED GAS

Cao Hui, Yang Peihong, Zhang Xiaoming, Zhang Xin, Zhang Jihong, Fan Lulu

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Abstract

To fully tap the renewable energy consumption capacity and carbon reduction potential of the integrated energy system（IES）, the IES low-carbon economic dispatching method of synthesizing green ammonia from wind and solar power and blending ammonia in gas is proposed. First, establish an IES scheduling framework integrating power-to-ammonia （P2A）, power-to-gas （P2G）, and combined heat and power （CHP） with dynamic ammonia blending ratios, and mathematically formulate the operational models of P2A, P2G, and the combustion of ammonia-blended fuel in CHP units. Second, with the goal of minimizing the total operating cost of the system and carbon emissions, considering the output constraints of each unit, the IES low-carbon economic scheduling model is established, and the uniformly distributed Pareto frontier solution is obtained by using the normalized normal constraint （NNC） method. Then, the optimal solution is selected using the technique for order preference by similarity to ideal solution （TOPSIS） method. Finally, the feasibility of the method proposed in this paper is verified by setting five application scenarios as examples. Results demonstrate that the proposed P2A-P2G-CHP integrated framework with dynamic ammonia blending ratios reduces total operating costs by 26.02% and carbon emissions by 10.78% compared to conventional IES, providing an effective pathway for low-carbon economic dispatch.

Key words

integrated energy systems（IES） / power-to-ammonia / power-to-gas / ammonia-blended operation of CHP units / dynamic ammonia blending ratios / low-carbon economic dispatch

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Cao Hui, Yang Peihong, Zhang Xiaoming, Zhang Xin, Zhang Jihong, Fan Lulu. LOW-CARBON ECONOMIC DISPATCH OF INTEGRATED ENERGY SYSTEM CONSIDERING WIND POWER-PHOTOVOLTAIC SYNTHESIS OF GREEN AMMONIA AND AMMONIA -BLENDED GAS[J]. Acta Energiae Solaris Sinica. 2026, 47(12): 274-285 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1116

References

[1] 李云鸷, 刘吉臻, 胡阳. 计及低碳响应的综合能源系统多时间尺度源-荷互动优化调度[J]. 太阳能学报, 2024, 45(11): 84-98.
Li Y Z, Liu J Z, Hu Y.Multi-time scale source-load interactive optimal scheduling of integrated energy system considering low-carbon demand response[J]. Acta Energiae Solaris Sinica, 2024, 45(11): 84-98.
[2] 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.
[3] 徐慧慧, 赵宇洋, 田云飞, 等. 考虑供应侧灵活响应与需求响应不确定性的综合能源系统优化调度[J]. 浙江电力, 2025, 44(3): 53-61.
Xu H H, Zhao Y Y, Tian Y F, et al.Optimal scheduling of integrated energy system considering supply-side flexible re-sponse and demand response uncertainty[J]. Zhejiang Electric Power, 2025, 44(3): 53-61.
[4] 柳思贤, 丁坤, 董海鹰. 考虑碳捕集和电转气的零碳园区综合能源系统经济调度[J]. 太阳能学报, 2024, 45(9): 188-196.
Liu S X, Ding K, Dong H Y.Zero-carbon economic dispatch of park integrated energy system considering carbon capture and power to gas[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 188-196.
[5] 穆云飞, 唐志鹏, 吴志军, 等. 计及虚拟储能的电-水-热综合能源系统日前优化调度方法[J]. 电力系统自动化, 2023, 47(24): 11-21.
Mu Y F, Tang Z P, Wu Z J, et al.Optimal day-ahead scheduling method for electricity-water-heat integrated energy system considering virtual energy storage[J]. Automation of Electric Power Systems, 2023, 47(24): 11-21.
[6] 喻鑫, 胡志坚, 陈锦鹏, 等. 阶梯碳下考虑P2G-CCS与供需灵活响应的IES优化调度[J]. 武汉大学学报(工学版), 2024, 57(10): 1360-1371.
Yu X, Hu Z J, Chen J P, et al.Optimal dispatch of integrated energy system considering P2G-CCS and supply-demand flexible response under stepped carbon[J]. Engineering Journal of Wuhan University, 2024, 57(10): 1360-1371.
[7] 崔杨, 闫石, 仲悟之, 等. 含电转气的区域综合能源系统热电优化调度[J]. 电网技术, 2020, 44(11): 4254-4263.
Cui Y, Yan S, Zhong W Z, et al.Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas[J]. Power System Technology, 2020, 44(11): 4254-4263.
[8] 骆钊, 杨林燕, 王华, 等. 含碳捕集电厂-电转气-液化天然气协同的综合能源系统优化调度[J]. 太阳能学报, 2025, 46(1): 438-448.
Luo Z, Yang L Y, Wang H, et al.Optimization and scheduling of integrated energy system with carbon capture powewr plant, electricity to gas and liquefied natural gas synergy[J]. Acta Energiae Solaris Sinica, 2025, 46(1): 438-448.
[9] Yu Q Y, Wang S X, Zhao Q Y, et al.Multi-type load characteristic modelling and state inference on power-to-ammonia and power-to-methanol production unit under fluctuating electricity-hydrogen interaction[J]. Energy, 2025, 319: 135013.
[10] 周上坤, 杨文俊, 谭厚章, 等. 氨燃烧研究进展[J]. 中国电机工程学报, 2021, 41(12): 4164-4181.
Zhou S K, Yang W J, Tan H Z, et al.Research progress of ammonia combustion[J]. Proceedings of the CSEE, 2021, 41(12): 4164-4181.
[11] Díaz-Motta A, Díaz-González F, Villa-Arrieta M.Energy sustainability assessment of offshore wind-powered ammonia[J]. Journal of Cleaner Production, 2023, 420: 138419.
[12] Xu D, Zhou B, Wu Q W, et al.Integrated modelling and enhanced utilization of power-to-ammonia for high renewable penetrated multi-energy systems[J]. IEEE Transactions on Power Systems, 2020, 35(6): 4769-4780.
[13] 崔杨, 孙喜斌, 付小标, 等. 考虑电转氨和生物质废能转换的农村化工综合能源系统低碳调度方法[J]. 电网技术, 2024, 48(8): 3350-3360.
Cui Y, Sun X B, Fu X B, et al.Low-carbon dispatch method of rural chemical industry integrated energy system considering power to ammonia and biomass waste energy conversion[J]. Power System Technology, 2024, 48(8): 3350-3360.
[14] Zhao Y L, Han F W, Zeng J F, et al.Coordinated optimization of integrated rural multiple regional energy systems considering electricity to ammonia and improved Shapley value revenue allocation[J]. Energy, 2024, 313: 133855.
[15] 朱振山, 林婕, 郭磊, 等. 考虑电转氨系统余热发电和供氨需求的独立海岛综合能源系统多阶段优化调度[J]. 电网技术, 2025, 49(11): 4516-4525.
Zhu Z S, Lin J, Guo L, et al.Multi-stage optimal dispatch of an independent island integrated energy system considering waste heat generation from a power-to-ammonia system and ammonia demand[J]. Power System Technology, 2025, 49(11): 4516-4525.
[16] 刘小伟, 雷乐, 周子健, 等. 双碳背景下燃煤电站掺氨燃烧研究进展与展望[J]. 中国电机工程学报, 2024, 44(18): 7221-7234.
Liu X W, Lei L, Zhou Z J, et al.Research progress and prospect of ammonia-doped combustion in coal-fired power plants under the background of dual carbon[J]. Proceedings of the CSEE, 2024, 44(18): 7221-7234.
[17] 张松松, 田志强, 韩璐, 等. 天然气掺氨的燃烧特性与应用研究综述[J]. 工业锅炉, 2024(6): 1-6.
Zhang S S, Tian Z Q, Han L, et al.Summary of combustion characteristics and application research of ammonia co-firing with natural gas[J]. Industrial Boiler, 2024(6): 1-6.
[18] 袁文腾, 陈亮, 王春波, 等. 基于氨储能技术的电转氨耦合风-光-火综合能源系统双层优化调度[J]. 中国电机工程学报, 2023, 43(18): 6992-7002.
Yuan W T, Chen L, Wang C B, et al.Bi-level optimal scheduling of power-to-ammonia coupling wind-photovoltaic-thermal integrated energy system based on ammonia energy storage technology[J]. Proceedings of the CSEE, 2023, 43(18): 6992-7002.
[19] Wen D, Aziz M.Techno-economic analyses of power-to-ammonia-to-power and biomass-to-ammonia-to-power pathways for carbon neutrality scenario[J]. Applied Energy, 2022, 319: 119272.
[20] Ichikawa A, Naito Y, Hayakawa A, et al.Burning velocity and flame structure of CH₄/NH₃/air turbulent premixed flames at high pressure[J]. International Journal of Hydrogen Energy, 2019, 44(13): 6991-6999.
[21] 郑丁园, 崔双喜, 樊小朝, 等. 计及风电不确定性的综合能源系统多目标分布鲁棒优化调度[J]. 智慧电力, 2024, 52(8): 1-8, 18.
Zheng D Y, Cui S X, Fan X C, et al.Multi-objective distributionally robust optimization scheduling for integrated energy system considering wind power uncertainty[J]. Smart Power, 2024, 52(8): 1-8, 18.