LOW-CARBON ECONOMIC SCHEDULING OF MULTI-ENERGY COMPLEMENTARY VIRTUAL POWER PLANT CONSIDERING HYDROGEN ENERGY CYCLE AND EMC CARBON CAPTURE TECHNOLOGY

Ji Yongli, Li Wei, Xu Qingshan, Qian Haiya, Wang Pengyu

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 99-110.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 99-110. DOI: 10.19912/j.0254-0096.tynxb.2024-1919

LOW-CARBON ECONOMIC SCHEDULING OF MULTI-ENERGY COMPLEMENTARY VIRTUAL POWER PLANT CONSIDERING HYDROGEN ENERGY CYCLE AND EMC CARBON CAPTURE TECHNOLOGY

  • Ji Yongli1, Li Wei1, Xu Qingshan2, Qian Haiya3, Wang Pengyu2,4
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Abstract

To adapt to the green and low-carbon energy transition, this paper proposes a low-carbon optimal scheduling method for a multi-energy complementary virtual power plant (VPP) considering hydrogen energy cycle and electrolytic molten carbonate (EMC) carbon capture technology. First, a hydrogen cycle system including the electrolyzer, methane reactor, hydrogen-blended unit, hydrogen fuel cell (HFC), and hydrogen storage tank is constructed. This system covers multiple stages of hydrogen production, storage, and utilization to fully explore the interconnected potential of hydrogen energy with electrical and thermal energy. Second, EMC technology is introduced to establish an EMC carbon capture power plant that incorporates the gas turbine, an organic Rankine cycle (ORC) low-temperature waste heat power generation unit, and waste heat boiler. Finally, considering the synergy between virtual and fixed energy storage, such as electric vehicles, alternative response loads, and air conditioning loads, as well as the differences in response performances among various storage types, a day-ahead and real-time optimal scheduling model for VPP is proposed to improve the operational flexibility. Case studies show that the proposed method can effectively facilitate renewable energy integration, reduce operating costs and carbon emissions, and enhance overall energy utilization efficiency.

Key words

virtual power plant / low carbon / carbon capture / hydrogen cycle system / generalized energy storage / flexible operation

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Ji Yongli, Li Wei, Xu Qingshan, Qian Haiya, Wang Pengyu. LOW-CARBON ECONOMIC SCHEDULING OF MULTI-ENERGY COMPLEMENTARY VIRTUAL POWER PLANT CONSIDERING HYDROGEN ENERGY CYCLE AND EMC CARBON CAPTURE TECHNOLOGY[J]. Acta Energiae Solaris Sinica. 2026, 47(3): 99-110 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1919

References

[1] LIANG S H, LOU S H, WU Y W, et al.Generation expansion planning for solvent-storaged carbon capture power plants considering the internalization of the carbon emission effects[J]. IEEE transactions on power systems, 2024, 39(2): 2653-2667.
[2] WEI X, LIU J J, XU Y L, et al.Virtual power plants peer-to-peer energy trading in unbalanced distribution networks: a distributed robust approach against communication failures[J]. IEEE transactions on smart grid, 2024, 15(2): 2017-2029.
[3] 袁铁江, 曾婧, 张明扬. 计及热负荷柔性的户用氢能系统运行优化研究[J]. 太阳能学报, 2024, 45(7): 29-40.
YUAN T J, ZENG J, ZHANG M Y.Optimization study on operation of household hydrogen energy system considering thermal load flexibility[J]. Acta energiae solaris sinica, 2024, 45(7): 29-40.
[4] WEI X, XU Y L, SUN H B, et al.Bi-level hybrid stochastic/robust optimization for low-carbon virtual power plant dispatch[J]. CSEE journal of power and energy systems, 2025, 11(5): 2012-2023.
[5] 胡福年, 周小博, 张彭成, 等. 计及碳捕集的综合能源系统低碳经济优化调度[J]. 太阳能学报, 2024, 45(3): 419-427.
HU F N, ZHOU X B, ZHANG P C, et al.Low carbon economy optimal dispatching of integrated energy system taking into account carbon capture[J]. Acta energiae solaris sinica, 2024, 45(3): 419-427.
[6] 王文烨, 姜飞, 张新鹤, 等. 含规模氢能综合利用的高比例风光多能源系统低碳灵活调度[J]. 电网技术, 2024, 48(1): 197-206.
WANG W Y, JIANG F, ZHANG X H, et al.Low-carbon and flexible dispatch of high-proportion wind-photovoltaic multi-energy system with comprehensive utilization of large-scale hydrogen energy[J]. Power system technology, 2024, 48(1): 197-206.
[7] 陈登勇, 刘方, 刘帅. 基于阶梯碳交易的含P2G-CCS耦合和燃气掺氢的虚拟电厂优化调度[J]. 电网技术, 2022, 46(6): 2042-2054.
CHEN D Y, LIU F, LIU S.Optimization of virtual power plant scheduling coupling with P2G-CCS and doped with gas hydrogen based on stepped carbon trading[J]. Power system technology, 2022, 46(6): 2042-2054.
[8] 李楚凡, 潘卫国, 郭瑞堂. 电化学直接转化二氧化碳为固体碳的研究进展[J]. 中国电机工程学报, 2023, 43(15): 5933-5943.
LI C F, PAN W G, GUO R T.Recent advances in direct conversion of carbon dioxide to solid carbon based on electrochemistry[J]. Proceedings of the CSEE, 2023, 43(15): 5933-5943.
[9] LAU J, DEY G, LICHT S.Thermodynamic assessment of CO2 to carbon nanofiber transformation for carbon sequestration in a combined cycle gas or a coal power plant[J]. Energy conversion and management, 2016, 122: 400-410.
[10] JOHNSON M, REN J, LEFLER M, et al.Data on SEM, TEM and Raman Spectra of doped, and wool carbon nanotubes made directly from CO2 by molten electrolysis[J]. Data in brief, 2017, 14: 592-606.
[11] CUI J S, WU J M, WU C Y, et al.Electric vehicles embedded virtual power plants dispatch mechanism design considering charging efficiencies[J]. Applied energy, 2023, 352: 121984.
[12] 孙毅, 谷家训, 郑顺林, 等. 考虑广义储能和LCA碳排放的综合能源系统低碳优化运行策略[J]. 上海交通大学学报, 2024, 58(5): 647-658.
SUN Y, GU J X, ZHENG S L, et al.Low-carbon optimal operation strategy of integrated energy system considering generalized energy storage and LCA carbon emission[J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 647-658.
[13] 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.
[14] 崔耀欣, 刘晓佩, 陈明敏. F级重型燃气轮机燃烧器天然气掺氢全压试验研究[J]. 燃气轮机技术, 2021, 34(2): 38-42.
CUI Y X, LIU X P, CHEN M M.Experimental study of natural gas mixed with hydrogen under full pressure of F-class heavy duty gas turbine burner[J]. Gas turbine technology, 2021, 34(2): 38-42.
[15] 汪安明, 赵文学, 冉颢, 等. 烟气余热利用场景的非共沸混合工质有机朗肯循环发电系统性能分析[J]. 中国电机工程学报, 2023, 43(6): 2153-2161.
WANG A M, ZHAO W X, RAN H, et al.Performance analyses of the organic Rankine cycle with zeotropic mixtures in gas waste heat recovery[J]. Proceedings of the CSEE, 2023, 43(6): 2153-2161.
[16] 盛四清, 张佳欣, 李然, 等. 考虑综合需求响应的综合能源系统多能协同优化调度[J]. 电力自动化设备, 2023, 43(6): 1-9.
SHENG S Q, ZHANG J X, LI R, et al.Multi-energy collaborative optimization scheduling of integrated energy system considering integrated demand response[J]. Electric power automation equipment, 2023, 43(6): 1-9.
[17] CHEN S Q, ZHANG K, LIU N, et al.Unlock the aggregated flexibility of electricity-hydrogen integrated virtual power plant for peak-regulation[J]. Applied energy, 2024, 360: 122747.
[18] 罗政杰, 任惠, 辛国雨, 等. 基于模型预测控制的高比例可再生能源电力系统多时间尺度动态可靠优化调度[J]. 太阳能学报, 2024, 45(6): 150-160.
LUO Z J, REN H, XIN G Y, et al.Multi-time scale dynamic reliable optimal scheduling of power system with high propottion renewable energy based on model predictive control[J]. Acta energiae solaris sinica, 2024, 45(6): 150-160.
[19] DENG L R, SUN H B, Li B J, et al.Optimal scheduling strategy for combined heat and power systems based on compressed McCormick method[J]. Engineering, 2021, 7(8): 89-111.
[20] 张锴, 郭小璇, 韩帅, 等. 基于电转气反应热应用和合作博弈的电转气装置容量规划[J]. 电网技术, 2021, 45(7): 2801-2811.
ZHANG K, GUO X X, HAN S, et al.Capacity planning of power-to-gas devices considering reaction heat recovery and cooperative game[J]. Power system technology, 2021, 45(7): 2801-2811.
[21] 陈锦鹏, 胡志坚, 陈颖光, 等. 考虑阶梯式碳交易机制与电制氢的综合能源系统热电优化[J]. 电力自动化设备, 2021, 41(9): 48-55.
CHEN J P, HU Z J, CHEN Y G, et al.Thermoelectric optimization of integrated energy system considering ladder-type carbon trading mechanism and electric hydrogen production[J]. Electric power automation equipment, 2021, 41(9): 48-55.
[22] 程浩忠, 胡枭, 王莉, 等. 区域综合能源系统规划研究综述[J]. 电力系统自动化, 2019, 43(7): 2-13.
CHENG H Z, HU X, WANG L, et al.Review on research of regional integrated energy system planning[J]. Automation of electric power systems, 2019, 43(7): 2-13.
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