P2G-CCS INTEGRATED ENERGY OPTIMIZATION SCHEDULING CONSIDERING GAS-THERMAL DYNAMIC CHARACTERISTICS

Zhang Tao; Wang Jin; Meng Heng; Liu Wenli; Si Chengzhen; Xiong Mingzhi

doi:10.19912/j.0254-0096.tynxb.2024-1526

PDF(1708 KB)

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 253-262. DOI: 10.19912/j.0254-0096.tynxb.2024-1526

P2G-CCS INTEGRATED ENERGY OPTIMIZATION SCHEDULING CONSIDERING GAS-THERMAL DYNAMIC CHARACTERISTICS

Zhang Tao¹, Wang Jin¹, Meng Heng¹, Liu Wenli², Si Chengzhen¹, Xiong Mingzhi¹

Author information +

History +

Abstract

This article proposes a integrated energy scheduling strategy for power-to-gas and carbon capture systems (P2G-CCS) that considers the dynamic characteristics of gas-thermal. Firstly, the characteristic equation of the gas-thermal energy flow is transformed into the s-domain to obtain a two-port transfer function model. The inverse Laplace inverse transform is carried out on it using the convolution theorem, thereby obtaining the time-domain dynamic model at any time sectioninstant. Then, based on the dynamic model, establish an IES park that includes P2G-CCS is established and combined it with a carbon trading mechanism to reduce carbon emissions. Finally, taking IEEE-39-20-6 as an example, the electric-gas-thermal energy system is established and compared by setting different scheduling scenarios. The results indicate that the established dynamic model and strategy effectively improve the efficiency of flow calculation in gas- thermal networks while reducing carbon emissions and enhancing the economic efficiency of system scheduling.

Key words

integrated energy / P2G-CCS / reward and punishment ladder carbon trading / gas-thermal s-domain model

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Zhang Tao, Wang Jin, Meng Heng, Liu Wenli, Si Chengzhen, Xiong Mingzhi. P2G-CCS INTEGRATED ENERGY OPTIMIZATION SCHEDULING CONSIDERING GAS-THERMAL DYNAMIC CHARACTERISTICS[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 253-262 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1526

References

[1] TAN C X, WANG J, GENG S P, et al.Three-level market optimization model of virtual power plant with carbon capture equipment considering copula-CVaR theory[J]. Energy, 2021, 237: 121620.
[2] YU S Q, ZHANG S Q, HAN Y D, et al.Transfer function models of gas distribution networks for studying gas-electricity coupling: Modeling, networking and evaluation[J]. International journal of electrical power & energy systems, 2020, 118: 105737.
[3] MA Y M, WANG H X, HONG F, et al.Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system[J]. Energy, 2021, 236: 121392.
[4] ZHOU Y F, HU W, MIN Y, et al.Integrated power and heat dispatch considering available reserve of combined heat and power units[J]. IEEE transactions on sustainable energy, 2019, 10(3): 1300-1310.
[5] 陈彬彬, 孙宏斌, 陈瑜玮, 等. 综合能源系统分析的统一能路理论(一): 气路[J]. 中国电机工程学报, 2020, 40(2): 436-444.CHEN B B, SUN H B, CHEN Y W, et al. Energy circuit theory of integrated energy system analysis (I): gaseous circuit[J]. Proceedings of the CSEE, 2020, 40(2): 436-444.
[6] 陈彬彬, 孙宏斌, 尹冠雄, 等. 综合能源系统分析的统一能路理论(二): 水路与热路[J]. 中国电机工程学报,2020, 40(7): 2133-2142, 2393.CHEN B B, SUN H B, YIN G X, et al. Energy circuit theory of integrated energy system analysis(Ⅱ):hydraulic circuit and thermal circuit[J]. Proceedings of the CSEE, 2020, 40(7): 2133-2142, 2393.
[7] KRALIK J, STIEGLER P, VOSTRU Z, et al. Modeling the dynamics of flow in gas pipelines[J]. IEEE transactions on systems, man,cybernetics, 1984, SMC-14(4): 586-596.
[8] 王敬尧, 王程, 许康平, 等. 基于气网动态精细化建模的区域电-气综合能源系统机会约束最优能流计算[J]. 电力自动化设备, 2023, 43(3): 12-19.WANG J Y, WANG C, XU K P, et al. Chance-constrained optimal energy flow calculation for regional integrated electricity-gas system based on accurate gas network dynamic modeling[J]. Electric power automation equipment, 2023, 43(3): 12-19.
[9] YU S Q, ZHANG S Q, HAN Y D, et al.Transfer function models of gas distribution networks for studying gas-electricity coupling: modeling, networking and evaluation[J]. International journal of electrical power & energy systems, 2020, 118: 105737.
[10] 杨晓辉, 邓叶恒, 王晓鹏, 等. 基于碳交易-绿色证书联合交易机制的含CHP-CCS-P2G耦合的区域综合能源系统低碳经济调度[J]. 太阳能学报, 2024, 45(6): 244-254.YANG X H, DENG Y H, WANG X P, et al. Low-carbon economic dispatch of regional integrated energy system with CHP-CCS-P2G coupling based on carbon trade-green certificate joint trading mechanism[J]. Acta energiae solaris sinica, 2024, 45(6): 244-254.
[11] 高宇歌, 任洲洋, 姜云鹏, 等. 电氢耦合系统定碳排运行域分析方法[J]. 电力自动化设备, 2023, 43(12): 29-36.GAO Y G, REN Z Y, JIANG Y P, et al. Analysis method of committed carbon emission operational region for electricity-hydrogen coupling system[J]. Electric power automation equipment, 2023, 43(12): 29-36.
[12] 陈继明, 徐乾, 李勇, 等. 计及源荷不确定性和碳捕集虚拟电厂的电-气互联系统优化调度[J]. 太阳能学报,2023, 44(10): 9-18.CHEN J M, XU Q, LI Y, et al. Optimal dispatch of electricity-natural gas interconnection system considering source-load uncertainty and virtual power plant with carbon capture[J]. Acta energiae solaris sinica, 2023, 44(10): 9-18.
[13] 徐睿婕, 任永峰, 祝荣, 等. 基于绿证-碳交易交互机制与合作博弈理论的IES系统低碳经济调度[J]. 太阳能学报, 2024, 45(9): 91-100.XU R J, REN Y F, ZHU R, et al. Low carbon economic dispatch of IES based on green certificate-carbon trading interaction mechanism and cooperative game theory[J]. Acta energiae solaris sinica, 2024, 45(9): 91-100.
[14] 陈明健, 陈胜, 王异成, 等. 考虑氢能绿证的电-氢综合能源系统机会约束优化调度[J]. 电力自动化设备,2023, 43(12): 206-213.CHEN M J, CHEN S, WANG Y C, et al.Chance constrained optimal scheduling of electric-hydrogen integrated energy system considering green certificate of hydrogen energy[J]. Electric power automation equipment, 2023, 43(12): 206-213.
[15] 邓红卫. 计及碳排放成本的电—气—热综合能源系统节点能价计算方法研究[D]. 吉林: 东北电力大学, 2019.DENG H W. Evaluating nodal energy price of carbon emission-embedded electricity-gas-heat integrated energy system[D]. JiLin: Northeast Electric Power University, 2019.