计及㶲效率的CSP与阶梯式CET-GCT联合运行的综合能源系统优化运行

邱彬; 郭珊珊; 王凯; 刘宏志; 王饶凝

doi:10.19912/j.0254-0096.tynxb.2025-0463

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 760-772. DOI: 10.19912/j.0254-0096.tynxb.2025-0463

计及㶲效率的CSP与阶梯式CET-GCT联合运行的综合能源系统优化运行

邱彬¹, 郭珊珊¹, 王凯², 刘宏志¹, 王饶凝¹

作者信息 +

OPTIMISED OPERATION OF INTEGRATED ENERGY SYSTEM COMBINING CSP AND STEPPED CET-GCT CONSIDERING EXERGY EFFICIENCY

Qiu Bin¹, Guo Shanshan¹, Wang Kai², Liu Hongzhi¹, Wang Raoning¹

Author information +

文章历史 +

摘要

在“双碳”目标与能源转型的双重战略驱动下,提出一种集光热电站、阶梯式碳-绿证交易机制及负荷需求响应的综合能源系统协同优化模型,为提升综合能源系统经济性和环境效益提出创新性解决方案。首先,在传统综合能源系统模型基础上,构建光热电站模型,并引入阶梯式碳-绿证交易机制。其次,构建电、热负荷的需求响应模型,并依照能量品质特性对系统进行㶲分析,构建整个系统的㶲效率模型。最后,采用天鹰和非洲秃鹫混合优化算法对模型进行求解。结果表明,该文所提优化模型相比于传统模型,系统总成本降低37.62%,碳排放量降低43.76%,㶲效率提高14.72%。

Abstract

Driven by the dual strategy of “double carbon” target and energy transformation, this paper proposes a synergistic optimization model of integrated energy system integrating photovoltaic power plant, stepped carbon-green certificate trading mechanism and load demand response, and puts forward an innovative solution to improve the economic and environmental benefits of the integrated energy system. First, on the basis of the traditional integrated energy system model, a model of the concentrating solar power（CSP） plant is constructed, and the stepped carbon-green certificate trading mechanism is introduced. Second, the demand response model of electric and thermal loads is constructed, and the system is analyzed in accordance with the energy quality characteristics, and the exergy efficiency model of the whole system is constructed. Finally, the model is solved using a hybrid optimization algorithm of Aquila Eagle and African Vulture. The results show that the optimization model proposed in this paper reduces the total system cost by 37.62%, reduces the carbon emission by 43.76%, and improves the energy efficiency by 14.72% compared with the traditional model.

导出引用

邱彬, 郭珊珊, 王凯, 刘宏志, 王饶凝. 计及㶲效率的CSP与阶梯式CET-GCT联合运行的综合能源系统优化运行[J]. 太阳能学报. 2026, 47(7): 760-772 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0463

Qiu Bin, Guo Shanshan, Wang Kai, Liu Hongzhi, Wang Raoning. OPTIMISED OPERATION OF INTEGRATED ENERGY SYSTEM COMBINING CSP AND STEPPED CET-GCT CONSIDERING EXERGY EFFICIENCY[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 760-772 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0463

中图分类号： TM715

参考文献

[1] 王敏, 苑涛, 鲁洋, 等. “双碳”目标下综合能源系统的多重不确定性研究[J]. 能源与节能, 2025(1): 1-5.
Wang M, Yuan T, Lu Y, et al.Multiple uncertainties of integrated energy system based on “dual carbon” goals[J]. Energy and Energy Conservation, 2025(1): 1-5.
[2] 彭雄, 鲍刚, 李振华, 等. 考虑碳捕集与光热电站的综合能源系统优化调度[J]. 电力系统及其自动化学报, 2024, 36(8): 79-91.
Peng X, Bao G, Li Z H, et al.Optimal scheduling of integrated energy system considering carbon capture and concentrating solar power station[J]. Proceedings of the CSU-EPSA, 2024, 36(8): 79-91.
[3] 王义军, 孙健淳, 高敏, 等. 考虑含HRD的光热电站和综合需求响应的综合能源系统低碳经济调度[J]. 东北电力大学学报, 2024, 44(1): 72-82.
Wang Y J, Sun J C, Gao M, et al.Low-carbon economic dispatch of integrated energy systems considering HRD-containing photovoltaic plants and integrated demand response[J]. Journal of Northeast Electric Power University, 2024, 44(1): 72-82.
[4] 董福贵, 时磊. 可再生能源配额制及绿色证书交易机制设计及仿真[J]. 电力系统自动化, 2019, 43(12): 113-121.
Dong F G, Shi L.Design and simulation of renewable portfolio standard and tradable green certificate mechanism[J]. Automation of Electric Power Systems, 2019, 43(12): 113-121.
[5] 袁桂丽, 刘培德, 贾新潮, 等. 计及绿色电力证书制度的经济性优化调度[J]. 太阳能学报, 2021, 42(4): 139-146.
Yuan G L, Liu P D, Jia X C, et al.Economic optimal scheduling considering tradable green certificate system[J]. Acta Energiae Solaris Sinica, 2021, 42(4): 139-146.
[6] 曹雨微, 郭晓鹏, 董厚琦, 等. 计及消纳责任权重的区域综合能源系统运行优化研究[J]. 华北电力大学学报(自然科学版), 2022, 49(3): 84-95.
Cao Y W, Guo X P, Dong H Q, et al.Operation optimization of regional integrated energy system under responsibility of renewable energy consumption[J]. Journal of North China Electric Power University, 2022, 49(3): 84-95.
[7] 曾慧, 杜源, 李涛, 等. 考虑碳交易与绿证交易的电-热耦合园区低碳规划[J]. 综合智慧能源, 2023, 45(2): 22-29.
Zeng H, Du Y, Li T, et al.Low-carbon planning of a park-level integrated electric and heating system considering carbon trading and green certificate trading[J]. Integrated Intelligent Energy, 2023, 45(2): 22-29.
[8] 徐筝, 孙宏斌, 郭庆来. 综合需求响应研究综述及展望[J]. 中国电机工程学报, 2018, 38(24): 7194-7205.
Xu Z, Sun H B, Guo Q L.Review and prospect of integrated demand response[J]. Proceedings of the Chinese Society for Electrical Engineering, 2018, 38(24): 7194-7205.
[9] Ibrahim C, Mougharbel I, Kanaan H Y, et al.A review on the deployment of demand response programs with multiple aspects coexistence over smart grid platform[J]. Renewable and Sustainable Energy Reviews, 2022, 162: 112446.
[10] 刘天琪, 张琪, 何川. 考虑气电联合需求响应的气电综合能源配网系统协调优化运行[J]. 中国电机工程学报, 2021, 41(5): 1664-1676.
Liu T Q, Zhang Q, He C.Coordinated optimal operation of electricity and natural gas distribution system considering integrated electricity-gas demand response[J]. Proceedings of the CSEE, 2021, 41(5): 1664-1676.
[11] 季振亚, 郑帅帅, 许金星, 等. 计及碳-绿证联合交易的含需求响应的综合能源系统调度[J]. 综合智慧能源, 2025, 47(5): 41-50.
Ji Z Y, Zheng S S, Xu J X, et al.Scheduling of integrated energy system with demand response considering carbon-green certificate joint trading[J]. Integrated Intelligent Energy, 2025, 47(5): 41-50.
[12] 刘蓉晖, 李阳, 杨秀, 等. 考虑需求响应的社区综合能源系统两阶段优化调度[J]. 太阳能学报, 2021, 42(9): 46-54.
Liu R H, Li Y, Yang X, et al.Two-stage optimal scheduling of community integrated energy system considering demand response[J]. Acta Energiae Solaris Sinica, 2021, 42(9): 46-54.
[13] 赵乃新, 顾文波, 美合日阿依·穆太力普. 考虑低碳经济运行的四联供综合能源系统优化调度[J]. 热力发电, 2023, 52(4): 54-62.
Zhao N X, Gu W B, Mutailipu M.Optimial dispatching of electricity-gas-heat-cooling integrated energy system considering low-carbon economy[J]. Thermal Power Generation, 2023, 52(4): 54-62.
[14] 李欣, 刘立, 黄婧琪, 等. 含耦合P2G和CCS的园区级综合能源系统优化调度[J]. 电力系统及其自动化学报, 2023, 35(4): 18-25.
Li X, Liu L, Huang J Q, et al.Optimal scheduling of park-level integrated energy system with coupling of P2G and CCS[J]. Proceedings of the CSU-EPSA, 2023, 35(4): 18-25.
[15] GB/T 14909—2021 能量系统分析技术导则[S].
GB/T 14909—2021 Guidelines for energy system analysis techniques[S].
[16] 胡枭, 李少伦, 王丹, 等. (火用)在综合能源系统中的理论、模型、应用综述及展望[J]. 电力建设, 2024, 45(3): 1-15.
Hu X, Li S L, Wang D, et al.Review and prospect of exergy in theory, modelling, and applications of integrated energy systems[J]. Electric Power Construction, 2024, 45(3): 1-15.
[17] 胡枭. 考虑能量品质的区域综合能源系统优化规划研究[D]. 上海: 上海交通大学, 2020.
Hu X.Research on optimal planning of regional integrated energy systems considering energy quality[D]. Shanghai: Shanghai Jiao Tong University, 2020.
[18] Su H L, Huang Q F, Wang Z D.An energy efficiency index formation and analysis of integrated energy system based on exergy efficiency[J]. Frontiers in Energy Research, 2021, 9: 723647.
[19] 何帅, 刘念, 盛超群, 等. 多能源枢纽联合运行的?损最小化分布式优化调度[J]. 电力系统自动化, 2021, 45(9): 28-37.
He S, Liu N, Sheng C Q, et al.Distributed optimal scheduling for minimizing exergy loss based on joint operation of multiple energy hubs[J]. Automation of Electric Power Systems, 2021, 45(9): 28-37.
[20] 施宇松, 邢海军, 苗秋愿. 综合能源系统热能梯级优化及?效率分析[J]. 上海电力大学学报, 2024, 40(3): 235-241.
Shi Y S, Xing H J, Miao Q Y.Thermal energy cascade optimization and efficiency analysis of comprehensive energy system[J]. Journal of Shanghai University of Electric Power, 2024, 40(3): 235-241.
[21] Wang Y L, Huang F F, Tao S Y, et al.Multi-objective planning of regional integrated energy system aiming at exergy efficiency and economy[J]. Applied Energy, 2022, 306: 118120.
[22] 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): 6132-6141.
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 Chinese Society for Electrical Engineering, 2020, 40(19): 6132-6141.
[23] 罗其华, 李平, 张少迪. 考虑需求响应和阶梯碳交易的虚拟电厂低碳经济调度[J]. 浙江电力, 2023, 42(6): 51-59.
Luo Q H, Li P, Zhang S D.Low-carbon and economic scheduling of virtual power plant considering demand response and stepwise carbon trading[J]. Zhejiang Electric Power, 2023, 42(6): 51-59.
[24] 邱彬, 宋绍鑫, 王凯, 等. 计及需求响应和阶梯型碳交易机制的区域综合能源系统优化运行[J]. 电力系统及其自动化学报, 2022, 34(5): 87-95, 101.
Qiu B, Song S X, Wang K, et al.Optimal operation of regional integrated energy system considering demand response and ladder-type carbon trading mechanism[J]. Proceedings of the CSU-EPSA, 2022, 34(5): 87-95, 101.
[25] 伏绍鑫, 万文略, 唐翰峰, 等. 考虑碳-绿证交易及柔性需求响应的含两阶段P2G的综合能源系统优化调度[J]. 现代电力, 2025, 42(6): 1329-1338.
Fu S X, Wan W L, Tang H F, et al.Optimal dispatching of an integrated energy system with two-stage P2G considering carbon-green certificate trading and flexible demand response[J]. Modern Electric Power, 2025, 42(6): 1329-1338.
[26] 魏震波, 马新如, 郭毅, 等. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43(1): 1-9.
Wei Z B, Ma X R, Guo Y, et al.Optimized operation of integrated energy system considering demand response under carbon trading mechanism[J]. Electric Power Construction, 2022, 43(1): 1-9.
[27] 周旭波, 何丽珠, 王进. 卡诺定理的正确认识[J]. 物理与工程, 2017, 27(4): 57-59.
Zhou X B, He L Z, Wang J.The correct understanding of Carnot theorem[J]. Physics and Engineering, 2017, 27(4): 57-59.