广东工业大学 自动化学院,广东,广州,510006
[ "阚东旺,2000-,男,硕士,主要研究方向为新型电力系统运行与控制(e-mail)wujiekang@163.com" ]
[ "吴杰康,(e-mail)wujiekang@163.com" ]
纸质出版:2026
移动端阅览
阚东旺, 吴杰康, 唐文浩, 等. 计及电转燃料的虚拟电厂多能协同优化模型[J]. 南方能源建设, 2026, 13(2): 32-43.
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阚东旺, 吴杰康, 唐文浩, 等. 计及电转燃料的虚拟电厂多能协同优化模型[J]. 南方能源建设, 2026, 13(2): 32-43. DOI: 10.16516/j.ceec.2024-376.
. DOI: 10.16516/j.ceec.2024-376.
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ZHAO M Z, WANG Y J, CAI W J. Climate change and health: global cooperation and China's action [J]. World environment, 2024(6): 56-57.
CHEN T W, ZENG J, ZHANG X, et al. Cluster-grid cooperative interaction optimization method for large-scale distributed renewable energy integration [J]. Automation of electric power systems, 2024, 48(15): 73-83. DOI: 10.7500/AEPS20231016004.
PAN X H, LUO X, MU Y, et al. Coordinated optimization control for main-distribution-microgrid interconnection utilizing the potential of massive distributed resources [J]. Power systems and big data, 2024, 27(5): 1-8. DOI: 10.19317/j.cnki.1008-083x.2024.05.001.
QIU J, ZHU Y K, ZHANG J X, et al. Intelligent generation method of power system stability control strategy based on safe reinforcement learning [J]. Power system protection and control, 2024, 52(10): 147-155. DOI: 10.19783/j.cnki.pspc.231360.
NEMMOUR A, INAYAT A, JANAJREH I, et al. Green hydrogen-based E-fuels (E-methane, E-methanol, E-ammonia) to support clean energy transition: a literature review [J]. International journal of hydrogen energy, 2023, 48(75): 29011-29033. DOI: 10.1016/j.ijhydene.2023.03.240.
ZHAI Y C, JIN L Y, XIE J J, et al. System analysis of methanol synthesis by carbon dioxide hydrogenation [J]. Southern energy construction, 2024, 11(5): 50-56. DOI: 10.16516/j.ceec.2024.5.05.
CHENG R L, LI J N, ZHOU B R, et al. Operation optimization for integrated system of wind-PV-thermal-storage with CC-P2G [J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 709-718. DOI: 10.16183/j.cnki.jsjtu.2022.270.
LIN Y J, CAO C, LI J, et al. Energy scheduling strategy model of microgrid with P2G considering carbon capture [J]. Thermal power generation, 2021, 50(8): 95-103. DOI: 10.19666/j.rlfd.202101031.
FU B, FANG W J, LI C S, et al. Optimal scheduling of an integrated energy system considering waste incineration flue gas treatment and power-to-methanol conversion [J]. Power system protection and control, 2024, 52(11): 112-126. DOI: 10.19783/j.cnki.pspc.231000.
YANG H H, ZHOU Z, HUANG W T, et al. Integrated energy low-carbon economic operation of industrial parks considering waste treatment and methanol synthesis [J]. Power system technology, 2023, 47(10): 4201-4209. DOI: 10.13335/j.1000-3673.pst.2022.2232.
ZHAO L X, WANG X G, DING Y J, et al. Optimal dispatch of multi-energy virtual power plant considering time-of-use electricity price and CSP plant [J]. Electric power construction, 2022, 43(4): 119-129. DOI: 10.12204/j.issn.1000-7229.2022.04.013.
YU Z, MENG J B, WANG J, et al. Optimal dispatch method of virtual power plant considering electric vehicle V2G under the low carbon target [J]. Telecommunications science, 2024, 40(7): 175-184. DOI: 10.11959/j.issn.1000-0801.2024175.
LI M Y, ZHANG Z. Optimal dispatch of distributed wind-solar-storage virtual power plants based on reinforcement learning [J]. Smart power, 2024, 52(8): 50-56. DOI: 10.3969/j.issn.1673-7598.2024.08.008.
YAN Q Y, DANG J L, LIN H Y, et al. The scheduling optimization model for electric-hydrogen coupled VPP considering life-cycle carbon emissions [J]. Electric power construction, 2024, 45(4): 13-25. DOI: 10.12204/j.issn.1000-7229.2024.04.002.
ZHANG Y, LIU R. Virtual power plant optimal scheduling model considering uncertain risks [J]. Smart power, 2024, 52(8): 9-18. DOI: 10.3969/j.issn.1673-7598.2024.08.003.
LU X L, PAN M, JU L W, et al. Dispatching optimization model of combined heat and power virtual power plant considering carbon capture and power-to-gas [J]. Electric power construction, 2023, 44(8): 107-117. DOI: 10.12204/j.issn.1000-7229.2023.08.011.
DIETERICH V, BUTTLER A, HANEL A. Power-to-liquid via synthesis of methanol, DME or Fischer-Tropsch-fuels: a review [J ] . Energy environmental science, 2020, 13(10): 3207-3252. DOI: 10.1039/D0EE01187H.
YAO W S, HOU Y L, WEI G Q, et al. Research progress of carbon dioxide resource utilization [J]. Advances in new and renewable energy, 2024, 12(2): 182-192. DOI: 10.3969/j.issn.2095-560X.2024.02.009.
SHA F, HAN Z, TANG S, et al. Hydrogenation of carbon dioxide to methanol over Non-Cu-based heterogeneous catalysts [J]. Chemsuschem, 2020, 13(23): 6160-6181. DOI: 10.1002/cssc.202002054.
JIANG A H, QIAN C F, HUANG Y Y, et al. The day-ahead economic dispatch of the energy hub for wind power accommodation considering hydrogen storage and price-based demand response [J]. Distribution utilization, 2022, 39(3): 82-91. DOI: 10.19421/j.cnki.1006-6357.2022.03.012.
ZENG J P. Research on optimal dispatch of integrated energy system considering carbon capture and demand response [D]. Nanchang: Nanchang University, 2023. DOI: 10.27232/d.cnki.gnchu.2023.001580.
ZHANG J Q, YAO Y. A multi-user integrated energy service sharing method considering stepped carbon emission cost [J]. Modern electric power, 2025, 42(5): 987-999. DOI: 10.19725/j.cnki.1007-2322.2023.0272.
WANG R D. Optimal scheduling of virtual power plants in a multi-market cooperative framework for electric-heating-gas-carbon energy [D]. Guangzhou: Guangdong University of Technology, 2022. DOI: 10.27029/d.cnki.ggdgu.2022.002276.
CHEN W J, LI G Y, ZHANG T C, et al. A scheduling approach for fuel-cell hybrid electric vehicle fleets considering carbon allowance trading [J]. Power system technology, 2023, 47(8): 3069-3077. DOI: 10.13335/j.1000-3673.pst.2023.0169.
ZHANG R Z, ZHOU J H, LIANG S X, et al. Capacity configuration-operation scheduling optimization and economic analysis of the off grid wind and solar hydrogen alcohol integrated system [J]. Thermal power generation, 2024, 53(2): 48-58. DOI: 10.19666/j.rlfd.202307115.
ZUO F Y, ZHANG Y Q, ZHAO Q, et al. Two-stage stochastic optimization for operation scheduling and capacity allocation of integrated energy production unit considering supply and demand uncertainty [J]. Proceedings of the CSEE, 2022, 42(22): 8205-8214. DOI: 10.13334/j.0258-8013.pcsee.220343.
HUANG D M, CHEN K X, SUN J Z, et al. Dispatch optimization of island microgrid with electrolytic hydrogen unit and CSP station [J]. Proceedings of the CSU-EPSA, 2022, 34(11): 24-31. DOI: 10.19635/j.cnki.csu-epsa.000966.
LI Q S, HAO Y S, WENG F L, et al. Thermodynamic analysis and optimal design of cogeneration system for methanol reforming solid oxide fuel cell [J]. Proceedings of the CSEE, 2025, 45(2): 502-512. DOI: 10.13334/j.0258-8013.pcsee.232039.
WANG D. Techno-economic analysis of P2X system and support policy research [D]. Beijing: North China Electric Power University (Beijing), 2023. DOI: 10.27140/d.cnki.ghbbu.2023.002671.
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