The Multi-Energy Synergistic Optimization Model of Virtual Power Plant Considering Power-to-Fuel

KAN Dongwang; WU Jiekang; TANG Wenhao; YANG Yihao; ZHOU Xuzhan; LUO Weiming; CHEN Dunjin; CHEN Zhixin

doi:10.16516/j.ceec.2024-376

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

The Multi-Energy Synergistic Optimization Model of Virtual Power Plant Considering Power-to-Fuel

更新时间：2026-05-01

- The Multi-Energy Synergistic Optimization Model of Virtual Power Plant Considering Power-to-Fuel
- Southern Energy Construction Vol. 13, Issue 2, Pages: 32-43(2026)
- 作者机构：
  
  广东工业大学自动化学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.16516/j.ceec.2024-376
  CLC： TM734;TM721
- Published：2026
- 稿件说明：
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.

.
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.

摘要

目的

方法

结果

结论

Abstract

Objective

Method

Result

Conclusion

关键词

Keywords

references

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.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research Progress of Pressure Swing Adsorption CO₂ Capture Technology and Case Analysis of Its Application in Petrochemical Industry

Comparison and Application Prospects of Ammonia and Methanol Technologies Supporting Large-Scale Development of Green Hydrogen Energy

Economic Evaluation of Post-Combustion CO₂ Capture Integration Technology in Natural Gas Combined Cycle Power Plant

Analysis of Surge Motion Response Characteristics of a Floating Wind-Wave-Solar Hybrid Energy System

Related Author

Rong XUE

Haizhou LIN

Qingyang HE

Haizhong LUO

Hang YU

Jin XIAO

Qiang LIU

Yun LIU

Related Institution

CNOOC (China) Co., Ltd Beijing Research Center

China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd.

Beijing Institute of Technology, School of Chemistry and Chemical Engineering

China Power Engineering Consulting Group Co., Ltd.

School of Environment and Energy, South China University of Technology

AI问答

⁰