IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v241y2025ics0960148124023887.html
   My bibliography  Save this article

Data-model fusing driven robust configuration optimization model and decision-making method for renewable energy generation base considering electric-hydrogen conversion

Author

Listed:
  • Lu, Gang
  • Bai, Xiping
  • Qi, Xin
  • Zhang, Fuqiang
  • Yan, Xiaoqing
  • Feng, Junshu
  • Ju, Liwei

Abstract

In order to guarantee the long-distance transmission of renewable energy from the large renewable plants (LRP)to the regions with tight electricity supply to meet high load demand, it is necessary to rationally configure various types of power sources in the plant. For the LRP configuration problem, this paper first proposes a data-model fusing driven inversion method to predict renewable energy output. Then, combining stochastic optimization and information gap theory, a multi-scenario confidence gap configuration model for a renewable energy base at the sending side considering electric-hydrogen conversion is proposed. Finally, a 4E evaluation theory based on energy, economy, elasticity, and environment is proposed to provide a comprehensive evaluation of the configuration results of different energy storage models. The results show that 1) the MAE, RMSE, and R2 of the proposed data-model fusing driven inversion method are improved by 20.1 %, 24.8 %, and 9.5 %, respectively, relative to the single data-driven model; 2) The unidirectional conversion model of electro-hydrogen has a better performance compared to bi-directional conversion: 4.7 % higher than bi-directional conversion in terms of NPV, 2.8 % lower cost per unit kWh, and 26 % lower cost of environmental pollution; 3) On a long time scale, the configuration priority of hydrogen, electric and pumped storage will change over the next 15 years. By 2030, the electric-hydrogen unidirectional conversion model is optimal due to the decreasing unit cost of electrolyzers and increasing unit cost of pumped storage. Considering three kinds of energy storage mixed configuration, by 2030, "electric hydrogen unidirectional conversion + pumped storage" will exceed "pumped storage + electric energy storage", become the configuration optimal choice.

Suggested Citation

  • Lu, Gang & Bai, Xiping & Qi, Xin & Zhang, Fuqiang & Yan, Xiaoqing & Feng, Junshu & Ju, Liwei, 2025. "Data-model fusing driven robust configuration optimization model and decision-making method for renewable energy generation base considering electric-hydrogen conversion," Renewable Energy, Elsevier, vol. 241(C).
  • Handle: RePEc:eee:renene:v:241:y:2025:i:c:s0960148124023887
    DOI: 10.1016/j.renene.2024.122320
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124023887
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.122320?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Kejun & Qi, Xiaoxia & Liu, Hongda & Song, Jiakang, 2018. "Deep belief network based k-means cluster approach for short-term wind power forecasting," Energy, Elsevier, vol. 165(PA), pages 840-852.
    2. Yu, Yanghao & Du, Ershun & Chen, Zhichao & Su, Yibo & Zhang, Xianfeng & Yang, Hongbin & Wang, Peng & Zhang, Ning, 2022. "Optimal portfolio of a 100% renewable energy generation base supported by concentrating solar power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    3. Zhang, Yusheng & Ma, Chao & Yang, Yang & Pang, Xiulan & Lian, Jijian & Wang, Xin, 2022. "Capacity configuration and economic evaluation of a power system integrating hydropower, solar, and wind," Energy, Elsevier, vol. 259(C).
    4. Wu, Min & Xu, Jiazhu & Shi, Zhenglu, 2023. "Low carbon economic dispatch of integrated energy system considering extended electric heating demand response," Energy, Elsevier, vol. 278(PA).
    5. Jin, Haowei & Guo, Jue & Tang, Lei & Du, Pei, 2024. "Long-term electricity demand forecasting under low-carbon energy transition: Based on the bidirectional feedback between power demand and generation mix," Energy, Elsevier, vol. 286(C).
    6. Fan, Guangyao & Liu, Zhijian & Liu, Xuan & Shi, Yaxin & Wu, Di & Guo, Jiacheng & Zhang, Shicong & Yang, Xinyan & Zhang, Yulong, 2022. "Two-layer collaborative optimization for a renewable energy system combining electricity storage, hydrogen storage, and heat storage," Energy, Elsevier, vol. 259(C).
    7. Zhang, Yi & Sun, Hexu & Tan, Jianxin & Li, Zheng & Hou, Weimin & Guo, Yingjun, 2022. "Capacity configuration optimization of multi-energy system integrating wind turbine/photovoltaic/hydrogen/battery," Energy, Elsevier, vol. 252(C).
    8. Wang, Yubin & Zheng, Yanchong & Yang, Qiang, 2023. "Day-ahead bidding strategy of regional integrated energy systems considering multiple uncertainties in electricity markets," Applied Energy, Elsevier, vol. 348(C).
    9. Ju, Liwei & Lv, ShuoShuo & Zhang, Zheyu & Li, Gen & Gan, Wei & Fang, Jiangpeng, 2024. "Data-driven two-stage robust optimization dispatching model and benefit allocation strategy for a novel virtual power plant considering carbon-green certificate equivalence conversion mechanism," Applied Energy, Elsevier, vol. 362(C).
    10. Ratanakuakangwan, Sudlop & Morita, Hiroshi, 2021. "Hybrid stochastic robust optimization and robust optimization for energy planning – A social impact-constrained case study," Applied Energy, Elsevier, vol. 298(C).
    11. Tarkowski, Radoslaw, 2019. "Underground hydrogen storage: Characteristics and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 86-94.
    12. Fan, Wei & Ju, Liwei & Tan, Zhongfu & Li, Xiangguang & Zhang, Amin & Li, Xudong & Wang, Yueping, 2023. "Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer," Applied Energy, Elsevier, vol. 331(C).
    13. Zhou, Siyu & Han, Yang & Chen, Shuheng & Yang, Ping & Mahmoud, Karar & Darwish, Mohamed M.F. & Matti, Lehtonen & Zalhaf, Amr S., 2023. "A multiple uncertainty-based Bi-level expansion planning paradigm for distribution networks complying with energy storage system functionalities," Energy, Elsevier, vol. 275(C).
    14. Ju, Liwei & Bai, Xiping & Li, Gen & Gan, Wei & Qi, Xin & Ye, Fan, 2024. "Two-stage robust transaction optimization model and benefit allocation strategy for new energy power stations with shared energy storage considering green certificate and virtual energy storage mode," Applied Energy, Elsevier, vol. 362(C).
    15. Zou, Bin & Peng, Jinqing & Yin, Rongxin & Li, Houpei & Li, Sihui & Yan, Jinyue & Yang, Hongxing, 2022. "Capacity configuration of distributed photovoltaic and battery system for office buildings considering uncertainties," Applied Energy, Elsevier, vol. 319(C).
    16. Miao, Huiying & Yu, Yadong & Kharrazi, Ali & Ma, Tieju, 2023. "Multi-criteria decision analysis for the planning of island microgrid system: A case study of Yongxing island, China," Energy, Elsevier, vol. 284(C).
    17. Ghasemi, Ahmad & Jamshidi Monfared, Houman & Loni, Abdolah & Marzband, Mousa, 2021. "CVaR-based retail electricity pricing in day-ahead scheduling of microgrids," Energy, Elsevier, vol. 227(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ju, Liwei & Lv, ShuoShuo & Zhang, Zheyu & Li, Gen & Gan, Wei & Fang, Jiangpeng, 2024. "Data-driven two-stage robust optimization dispatching model and benefit allocation strategy for a novel virtual power plant considering carbon-green certificate equivalence conversion mechanism," Applied Energy, Elsevier, vol. 362(C).
    2. Zhiming Lu & Youting Li & Guying Zhuo & Chuanbo Xu, 2023. "Configuration Optimization of Hydrogen-Based Multi-Microgrid Systems under Electricity Market Trading and Different Hydrogen Production Strategies," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    3. Tang, Bao-Jun & Cao, Xi-Lin & Li, Ru & Xiang, Zhi-Bo & Zhang, Sen, 2024. "Economic and low-carbon planning for interconnected integrated energy systems considering emerging technologies and future development trends," Energy, Elsevier, vol. 302(C).
    4. Lu, M.L. & Sun, Y.J. & Kokogiannakis, G. & Ma, Z.J., 2024. "Design of flexible energy systems for nearly/net zero energy buildings under uncertainty characteristics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 205(C).
    5. Li, Wanying & Dong, Fugui & Liu, Jiamei & Wang, Peijun & Zhao, Xinru, 2024. "A three-stage decision-making study on capacity configuration of hydropower-wind-photovoltaic-storage complementary systems considering uncertainty," Energy, Elsevier, vol. 313(C).
    6. Dongsen Li & Kang Qian & Yiyue Xu & Jiangshan Zhou & Zhangfan Wang & Yufei Peng & Qiang Xing, 2025. "A Multi-Time Scale Optimal Scheduling Strategy for the Electro-Hydrogen Coupling System Based on the Modified TCN-PPO," Energies, MDPI, vol. 18(8), pages 1-22, April.
    7. Du, Yida & Li, Xiangguang & Tan, Caixia & Tan, Zhongfu, 2024. "Two-stage multi-objective distributionally robust operation optimization and benefits equalization of an off-grid type electric-hydrogen-ammonia-methanol coupling system," Renewable Energy, Elsevier, vol. 236(C).
    8. Mujammil Asdhiyoga Rahmanta & Rahmat Adiprasetya Al Hasibi & Handrea Bernando Tambunan & Ruly & Agussalim Syamsuddin & Indra Ardhanayudha Aditya & Benny Susanto, 2024. "Towards a Net Zero-Emission Electricity Generation System by Optimizing Renewable Energy Sources and Nuclear Power Plant," Energies, MDPI, vol. 17(8), pages 1-22, April.
    9. Yang, Mao & Wang, Da & Xu, Chuanyu & Dai, Bozhi & Ma, Miaomiao & Su, Xin, 2023. "Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting," Renewable Energy, Elsevier, vol. 211(C), pages 582-594.
    10. Jiyong Li & Zeyi Hua & Lin Tian & Peiwen Chen & Hao Dong, 2024. "Optimal Capacity Allocation for Life Cycle Multiobjective Integrated Energy Systems Considering Capacity Tariffs and Eco-Indicator 99," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    11. Li, Weiwei & Qian, Tong & Zhao, Wei & Huang, Wenwei & Zhang, Yin & Xie, Xuehua & Tang, Wenhu, 2023. "Decentralized optimization for integrated electricity–heat systems with data center based energy hub considering communication packet loss," Applied Energy, Elsevier, vol. 350(C).
    12. Shengli Liao & Xudong Tian & Benxi Liu & Tian Liu & Huaying Su & Binbin Zhou, 2022. "Short-Term Wind Power Prediction Based on LightGBM and Meteorological Reanalysis," Energies, MDPI, vol. 15(17), pages 1-21, August.
    13. Barbara Uliasz-Misiak & Joanna Lewandowska-Śmierzchalska & Rafał Matuła & Radosław Tarkowski, 2022. "Prospects for the Implementation of Underground Hydrogen Storage in the EU," Energies, MDPI, vol. 15(24), pages 1-17, December.
    14. Cen, Xiao & Chen, Zengliang & Chen, Haifeng & Ding, Chen & Ding, Bo & Li, Fei & Lou, Fangwei & Zhu, Zhenyu & Zhang, Hongyu & Hong, Bingyuan, 2024. "User repurchase behavior prediction for integrated energy supply stations based on the user profiling method," Energy, Elsevier, vol. 286(C).
    15. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
    16. Kang, Kai & Su, Yifan & Yang, Peng & Wang, Zhaojian & Liu, Feng, 2025. "Securing long-term dispatch of isolated microgrids with high-penetration renewable generation: A controlled evolution-based framework," Applied Energy, Elsevier, vol. 381(C).
    17. Dariusz Knez & Omid Ahmad Mahmoudi Zamani, 2023. "Up-to-Date Status of Geoscience in the Field of Natural Hydrogen with Consideration of Petroleum Issues," Energies, MDPI, vol. 16(18), pages 1-17, September.
    18. Yang, Shenyao & Hu, Shilai & Qi, Zhilin & Qi, Huiqing & Zhao, Guanqun & Li, Jiqiang & Yan, Wende & Huang, Xiaoliang, 2024. "Experiment and prediction for dynamic storage capacity of underground gas storage rebuilt from hydrocarbon reservoir," Renewable Energy, Elsevier, vol. 222(C).
    19. Cheng, Qian & Liu, Pan & Xia, Qian & Cheng, Lei & Ming, Bo & Zhang, Wei & Xu, Weifeng & Zheng, Yalian & Han, Dongyang & Xia, Jun, 2023. "An analytical method to evaluate curtailment of hydro–photovoltaic hybrid energy systems and its implication under climate change," Energy, Elsevier, vol. 278(C).
    20. Wang, Gang & Zhang, Zhen & Lin, Jianqing, 2024. "Multi-energy complementary power systems based on solar energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:241:y:2025:i:c:s0960148124023887. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.