袁桂丽(1971—),女,内蒙古赤峰人,教授,博士,研究方向为电力系统控制与优化调度。马睿(通信作者),男,硕士研究生,E-mail:2532269053@qq.com。
纸质出版:2026
移动端阅览
袁桂丽, 马睿. 考虑生物质混燃碳捕集与低碳激励机制的虚拟电厂优化调度[J]. 动力工程学报, 2026, 46(9): 37-48.
袁桂丽, 马睿. 考虑生物质混燃碳捕集与低碳激励机制的虚拟电厂优化调度[J]. 动力工程学报, 2026, 46(9): 37-48. DOI: 10.19805/j.cnki.jcspe.2026.250402.
DOI: 10.19805/j.cnki.jcspe.2026.250402
针对传统燃煤机组的高碳排放问题,应用生物质混燃碳捕集技术对燃煤热电机组进行低碳改造,实现源侧的深度降碳,建立了生物质混燃碳捕集热电机组的模型,同时为充分挖掘荷侧的碳减排空间,提出了一种基于低碳激励机制的需求响应策略。在此基础上,构建了考虑生物质混燃碳捕集与低碳激励机制的虚拟电厂优化调度模型。最终以虚拟电厂总运行成本最小为优化目标,设置5种场景并进行了仿真对比分析。结果表明:所提出的虚拟电厂优化调度方案可实现源荷协同降碳,有效促进新能源的消纳,降低虚拟电厂总运行成本。
Aiming at the high carbon emission of traditional coal-fired units
coal-biomass co-firing carbon capture technology was applied to retrofit coal-fired thermal power units for low-carbon conversion
and achieve deep carbon reduction for the source side. A model was established for coal-biomass co-firing carbon capture thermal power units. Meanwhile
to fully tap the carbon reduction potential of demand side
a demand response strategy based on a lowcarbon incentive mechanism was proposed. On this basis
an optimized scheduling model for a virtual power plant considering coal-biomass co-firing carbon capture and the lowcarbon incentive mechanism was constructed. Finally
aiming to minimize the total operating cost of the virtual power plant
simulation comparisons under five different scenarios were conducted. Results show that the proposed optimized scheduling scheme for the virtual power plant can achieve coordinated source-demand carbon reduction
effectively promote the integration of renewable energy
and reduce the total operating cost of the virtual power plant.
张智刚, 康重庆. 碳中和目标下构建新型电力系统的挑战与展望[J]. 中国电机工程学报, 2022, 42(8): 2806-2818. ZHANG Zhigang, KANG Chongqing. Challenges and prospects for constructing the new-type power system towards a carbon neutrality future[J]. Proceedings of the CSEE, 2022, 42(8): 2806-2818.
姚路锦, 王玮, 林宏宇, 等. 计及低碳经济运行的含风电微网群源储协同日前优化调度[J]. 动力工程学报, 2024, 44(3): 462-474. YAO Lujin, WANG Wei, LIN Hongyu, et al. Day-ahead optimal scheduling of wind-powered microgrid cluster with source-storage collaboration taking into account low-carbon economic operation[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 462-474.
张沈习, 王丹阳, 程浩忠, 等. 双碳目标下低碳综合能源系统规划关键技术及挑战[J]. 电力系统自动化, 2022, 46(8): 189-207. ZHANG Shenxi, WANG Danyang, CHENG Hao zhong, et al. Key technologies and challenges of low-carbon integrated energy system planning for carbon emission peak and carbon neutrality[J]. Automation of Electric Power Systems, 2022, 46(8): 189-207.
苟凯杰, 王晋君, 陈衡, 等. 含多类型火电机组与电转气的低碳虚拟电厂优化调度[J]. 动力工程学报, 2025, 45(6): 944-952. GOU Kaijie, WANG Jinjun, CHEN Heng, et al. Optimal scheduling of low-carbon virtual power plants with multiple types of thermal power units and power-to-gas[J]. Journal of Chinese Society of Power Engineering, 2025, 45(6): 944-952.
杨卧龙, 倪煜, 雷鸿. 燃煤电站生物质直接耦合燃烧发电技术研究综述[J]. 热力发电, 2021, 50(2): 18-25. YANG Wolong, NI Yu, LEI Hong. Biomass direct coupled combustion power generation technology for coal fired power station: a review[J]. Thermal Power Generation, 2021, 50(2): 18-25.
郭旭升, 娄素华, 张金平, 等. 电力市场环境下生物质气化耦合燃煤机组与风电场联合自调度优化策略[J]. 中国电机工程学报, 2024, 44(16): 6334-6346. GUO Xusheng, LOU Suhua, ZHANG Jinping, et al. Joint self-scheduling optimization strategy of biomass gasification coupled coal-fired thermal power unit and wind farm under power market environment[J]. Proceedings of the CSEE, 2024, 44(16): 6334-6346.
桑树勋, 华凯敏, 屠坤坤, 等. 生物质能高效利用与二氧化碳捕集利用封存耦合技术体系(BECCS)的发展方向与研究进展[J]. 中国矿业大学学报, 2023, 52(5): 845-867. SANG Shuxun, HUA Kaimin, TU Kunkun, et al. The development direction and research progress of the coupled technology system of biomass energy efficient utilization and carbon dioxide capture, utilization and storage(BECCS)[J]. Journal of China University of Mining & Technology, 2023, 52(5): 845-867.
FAN Jingli, FU Jingying, ZHANG Xian, et al. Co-firing plants with retrofitted carbon capture and storage for power-sector emissions mitigation[J]. Nature Climate Change, 2023, 13(8): 807-815.
崔杨, 孙喜斌, 程丁然, 等. 考虑"燃煤+"耦合发电与电-碳-氢-化工耦合的综合能源虚拟电厂随机低碳调度[J]. 电网技术, 2025, 49(6): 2388-2397. CUI Yang, SUN Xibin, CHENG Dingran, et al. Stochastic low-carbon scheduling of integrated energy virtual power plant considering "Coal-fired+" coupling power generation and the coupling of electricity-carbon-hydrogen-chemical[J]. Power System Technology, 2025, 49(6): 2388-2397.
崔杨, 孙喜斌, 朱晗, 等. 考虑"燃煤+"耦合发电与灵活性资源备用的综合能源系统低碳经济调度[J]. 中国电机工程学报, 2026, 46(1): 198-211. CUI Yang, SUN Xibin, ZHU Han, et al. Low-carbon economic dispatch of integrated energy systems considering "Coal-fired+" coupling power generation and flexible resource reserves[J]. Proceedings of the CSEE, 2026, 46(1): 198-211.
康重庆, 杜尔顺, 李姚旺, 等. 新型电力系统的"碳视角": 科学问题与研究框架[J]. 电网技术, 2022, 46(3): 821-833. KANG Chongqing, DU Ershun, LI Yaowang, et al. Key scientific problems and research framework for carbon perspective research of new power systems[J]. Power System Technology, 2022, 46(3): 821-833.
刘金朋, 胡国松, 彭锦淳, 等. 多能互补的虚拟电厂低碳-经济-鲁棒优化调度[J]. 中国电机工程学报, 2024, 44(24): 9718-9730. LIU Jinpeng, HU Guosong, PENG Jinchun, et al. Low-carbon economic-robust optimization scheduling of multi-energy complementary virtual power plants[J]. Proceedings of the CSEE, 2024, 44(24): 9718-9730.
邹鑫, 陈丹昊, 邹爱孟, 等. 考虑多种负荷需求响应的综合能源系统优化运行[J]. 动力工程学报, 2025, 45(1): 154-164. ZOU Xin, CHEN Danhao, ZOU Aimeng, et al. Optimized operation of integrated energy systems considering multiple load demand response[J]. Journal of Chinese Society of Power Engineering, 2025, 45(1): 154-164.
袁桂丽, 钟飞, 张睿, 等. 考虑碳捕集及需求响应的虚拟电厂热电联合优化调度[J]. 电网技术, 2023, 47(11): 4458-4466. YUAN Guili, ZHONG Fei, ZHANG Rui, et al. Combined heat and power scheduling optimization for virtual power plants considering carbon capture and demand response[J]. Power System Technology, 2023, 47(11): 4458-4466.
王辉, 李乃慧, 梁凌, 等. 耦合系统下含光热电站的需求响应虚拟电厂优化调度[J]. 电测与仪表, 2025, 62(12): 30-40. WANG Hui, LI Naihui, LIANG Ling, et al. Optimal scheduling of virtual power plant with concentrating solar power based on demand response in coupled system[J]. Electrical Measurement & Instrumentation, 2025, 62(12): 30-40.
李姚旺, 张宁, 杜尔顺, 等. 基于碳排放流的电力系统低碳需求响应机制研究及效益分析[J]. 中国电机工程学报, 2022, 42(8): 2830-2841. LI Yaowang, ZHANG Ning, DU Ershun, et al. Mechanism study and benefit analysis on power system low carbon demand response based on carbon emission flow[J]. Proceedings of the CSEE, 2022, 42(8): 2830-2841.
杨周义, 邢海军, 江伟建, 等. 基于低碳需求响应的含煤制氢与碳捕集电厂的综合能源系统优化调度[J]. 电力自动化设备, 2024, 44(4): 25-32. YANG Zhouyi, XING Haijun, JIANG Weijian, et al. Optimal scheduling of integrated energy system with coal-to-hydrogen and carbon capture power plant based on low-carbon demand response[J]. Electric Power Automation Equipment, 2024, 44(4): 25-32.
梁宁, 方茜, 徐慧慧, 等. 基于节点碳势需求响应的电力系统双层优化调度[J]. 电力系统自动化, 2024, 48(9): 44-53. LIANG Ning, FANG Qian, XU Huihui, et al. Bi-level optimal dispatching of power system based on demand response considering nodal carbon intensity[J]. Automation of Electric Power Systems, 2024, 48(9): 44-53.
张玉敏, 孙鹏凯, 孟祥剑, 等. 基于碳势-能源价格双响应的综合能源系统低碳经济调度[J]. 电力系统自动化, 2024, 48(9): 21-33. ZHANG Yumin, SUN Pengkai, MENG Xiangjian, et al. Low-carbon economic dispatching of integrated energy system based on dual response of carbon intensity and energy price[J]. Automation of Electric Power Systems, 2024, 48(9): 21-33.
廖望, 刘东, 巫宇锋, 等. 考虑源荷不确定性及用户响应行为的电力系统低碳经济调度[J]. 中国电机工程学报, 2024, 44(3): 905-917. LIAO Wang, LIU Dong, WU Yufeng, et al. Low-carbon economic dispatch of power system considering source-load uncertainties and users response behavior[J]. Proceedings of the CSEE, 2024, 44(3): 905-917.
崔杨, 姜帅, 赵钰婷, 等. 考虑超碳需求响应的综合能源系统低碳优化调度[J]. 电网技术, 2024, 48(5): 1863-1872. CUI Yang, JIANG Shuai, ZHAO Yuting, et al. Source-load coordinated carbon reduction optimal scheduling of integrated energy system considering ultra-carbon demand response[J]. Power System Technology, 2024, 48(5): 1863-1872.
钟嘉庆, 王一鸣, 赵志锋, 等. 低碳电源规划不确定性多目标鲁棒优化研究[J]. 太阳能学报, 2020, 41(9): 114-120. ZHONG Jiaqing, WANG Yiming, ZHAO Zhifeng, et al. Research on multi-objective robust optimization about low caebon generation expansion planning considering uncertainty[J]. Acta Energiae Solaris Sinica, 2020, 41(9): 114-120.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621