IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i13p3144-d1422275.html
   My bibliography  Save this article

Optimization of the Joint Operation of an Electricity–Heat–Hydrogen–Gas Multi-Energy System Containing Hybrid Energy Storage and Power-to-Gas–Combined Heat and Power

Author

Listed:
  • Jun Yang

    (School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Linjun Zeng

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Kangjie He

    (School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Yongguo Gong

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Zhenhua Zhang

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410000, China)

  • Kun Chen

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410000, China)

Abstract

With the continuous development of hydrogen storage systems, power-to-gas (P2G) and combined heat and power (CHP), the coupling between electricity–heat–hydrogen–gas has been promoted and energy conversion equipment has been transformed from an independent operation with low energy utilization efficiency to a joint operation with high efficiency. This study proposes a low-carbon optimization strategy for a multi-energy coupled IES containing hydrogen energy storage operating jointly with a two-stage P2G adjustable thermoelectric ratio CHP. Firstly, the hydrogen energy storage system is analyzed to enhance the wind power consumption ability of the system by dynamically absorbing and releasing energy at the right time through electricity–hydrogen coupling. Then, the two-stage P2G operation process is refined and combined with the CHP operation with an adjustable thermoelectric ratio to further improve the low-carbon and economic performance of the system. Finally, multiple scenarios are set up, and the comparative analysis shows that the addition of a hydrogen storage system can increase the wind power consumption capacity of the system by 4.6%; considering the adjustable thermoelectric ratio CHP and the two-stage P2G, the system emissions reduction can be 5.97% and 23.07%, respectively, and the total cost of operation can be reduced by 7.5% and 14.5%, respectively.

Suggested Citation

  • Jun Yang & Linjun Zeng & Kangjie He & Yongguo Gong & Zhenhua Zhang & Kun Chen, 2024. "Optimization of the Joint Operation of an Electricity–Heat–Hydrogen–Gas Multi-Energy System Containing Hybrid Energy Storage and Power-to-Gas–Combined Heat and Power," Energies, MDPI, vol. 17(13), pages 1-19, June.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3144-:d:1422275
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/13/3144/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/13/3144/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(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. Anjie Lu & Jianguo Zhou & Minglei Qin & Danchen Liu, 2024. "Considering Carbon–Hydrogen Coupled Integrated Energy Systems: A Pathway to Sustainable Energy Transition in China Under Uncertainty," Sustainability, MDPI, vol. 16(21), pages 1-32, October.
    2. Ilea, Flavia-Maria & Cormos, Ana-Maria & Cristea, Vasile-Mircea & Cormos, Calin-Cristian, 2023. "Enhancing the post-combustion carbon dioxide carbon capture plant performance by setpoints optimization of the decentralized multi-loop and cascade control system," Energy, Elsevier, vol. 275(C).
    3. Xueqin Tian & Heng Yang & Yangyang Ge & Tiejiang Yuan, 2024. "Site Selection and Capacity Determination of Electric Hydrogen Charging Integrated Station Based on Voronoi Diagram and Particle Swarm Algorithm," Energies, MDPI, vol. 17(2), pages 1-26, January.
    4. Zhu, Hengyi & Tan, Peng & He, Ziqian & Ma, Lun & Zhang, Cheng & Fang, Qingyan & Chen, Gang, 2023. "Revealing steam temperature characteristics for a double-reheat unit under coal calorific value variation," Energy, Elsevier, vol. 283(C).
    5. Wu, Yanjuan & Wang, Caiwei & Wang, Yunliang, 2024. "Cooperative game optimization scheduling of multi-region integrated energy system based on ADMM algorithm," Energy, Elsevier, vol. 302(C).
    6. 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).
    7. Shen, Haotian & Zhang, Hualiang & Xu, Yujie & Chen, Haisheng & Zhang, Zhilai & Li, Wenkai & Su, Xu & Xu, Yalin & Zhu, Yilin, 2024. "Two stage robust economic dispatching of microgrid considering uncertainty of wind, solar and electricity load along with carbon emission predicted by neural network model," Energy, Elsevier, vol. 300(C).
    8. Hao Yu & Yibo Wang & Chuang Liu & Shunjiang Wang & Chunyang Hao & Jian Xiong, 2024. "Optimization and Scheduling Method for Power Systems Considering Wind Power Forward/Reverse Peaking Scenarios," Energies, MDPI, vol. 17(5), pages 1-18, March.
    9. Elsir, Mohamed & Al-Sumaiti, Ameena Saad & El Moursi, Mohamed Shawky, 2024. "Towards energy transition: A novel day-ahead operation scheduling strategy for demand response and hybrid energy storage systems in smart grid," Energy, Elsevier, vol. 293(C).
    10. Hou, Rui & Deng, Guangzhi & Wu, Minrong & Wang, Wei & Gao, Wei & Chen, Kang & Liu, Lijun & Dehan, Sim, 2023. "Optimum exploitation of an integrated energy system considering renewable sources and power-heat system and energy storage," Energy, Elsevier, vol. 282(C).
    11. Kun Li & Yulong Ying & Xiangyu Yu & Jingchao Li, 2024. "Optimal Scheduling of Electricity and Carbon in Multi-Park Integrated Energy Systems," Energies, MDPI, vol. 17(9), pages 1-30, April.
    12. Zhu, Xiaoxun & Hu, Ming & Xue, Jinfei & Li, Yuxuan & Han, Zhonghe & Gao, Xiaoxia & Wang, Yu & Bao, Linlin, 2024. "Research on multi-time scale integrated energy scheduling optimization considering carbon constraints," Energy, Elsevier, vol. 302(C).
    13. Wu, Mou & Yan, Rujing & Zhang, Jing & Fan, Junqiu & Wang, Jiangjiang & Bai, Zhang & He, Yu & Cao, Guoqiang & Hu, Keling, 2024. "An enhanced stochastic optimization for more flexibility on integrated energy system with flexible loads and a high penetration level of renewables," Renewable Energy, Elsevier, vol. 227(C).
    14. Wang, L.L. & Xian, R.C. & Jiao, P.H. & Chen, J.J. & Chen, Y. & Liu, H.G., 2024. "Multi-timescale optimization of integrated energy system with diversified utilization of hydrogen energy under the coupling of green certificate and carbon trading," Renewable Energy, Elsevier, vol. 228(C).
    15. Huang, Shangjiu & Lu, Hao & Chen, Maozhi & Zhao, Wenjun, 2023. "Integrated energy system scheduling considering the correlation of uncertainties," Energy, Elsevier, vol. 283(C).
    16. Jun Tang, 2024. "How the Smart Energy Can Contribute towards Achieving the Sustainable Development Goal 7," Sustainability, MDPI, vol. 16(17), pages 1-25, September.
    17. Junhua Xiong & Huihang Li & Tingling Wang, 2023. "Low-Carbon Economic Dispatch of an Integrated Electricity–Gas–Heat Energy System with Carbon Capture System and Organic Rankine Cycle," Energies, MDPI, vol. 16(24), pages 1-25, December.
    18. Kangjie He & Linjun Zeng & Jun Yang & Yongguo Gong & Zhenhua Zhang & Kun Chen, 2024. "Optimization Strategy for Low-Carbon Economy of Integrated Energy System Considering Carbon Capture-Two Stage Power-to-Gas Hydrogen Coupling," Energies, MDPI, vol. 17(13), pages 1-22, June.
    19. Hua Pan & Qunli Wu & Huiling Guo & Jiayi Bai, 2024. "Low-Carbon Optimization Scheduling of Integrated Energy Systems Based on Bilateral Demand Response and Two-Level Stackelberg Game," Energies, MDPI, vol. 17(21), pages 1-27, November.

    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:gam:jeners:v:17:y:2024:i:13:p:3144-:d:1422275. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.