IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i13p3506-d1693548.html

Optimization Configuration of Electric–Hydrogen Hybrid Energy Storage System Considering Power Grid Voltage Stability

Author

Listed:
  • Yunfei Xu

    (Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China)

  • Yiqiong He

    (Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China)

  • Hongyang Liu

    (Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China)

  • Heran Kang

    (Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China)

  • Jie Chen

    (Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China)

  • Wei Yue

    (Economic and Technological Research Institute, State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot 010020, China)

  • Wencong Xiao

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

  • Zhenning Pan

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

Abstract

Integrated energy systems (IESs) serve as pivotal platforms for realizing the reform of energy structures. The rational planning of their equipment can significantly enhance operational economic efficiency, environmental friendliness, and system stability. Moreover, the inherent randomness and intermittency of renewable energy generation, coupled with the peak and valley characteristics of load demand, lead to fluctuations in the output of multi-energy coupling devices within the IES, posing a serious threat to its operational stability. To address these challenges, this paper focuses on the economic and stable operation of the IES, aiming to minimize the configuration costs of hybrid energy storage systems, system voltage deviations, and net load fluctuations. A multi-objective optimization planning model for an electric–hydrogen hybrid energy storage system is established. This model, applied to the IEEE-33 standard test system, utilizes the Multi-Objective Artificial Hummingbird Algorithm (MOAHA) to optimize the capacity and location of the electric–hydrogen hybrid energy storage system. The Multi-Objective Artificial Hummingbird Algorithm (MOAHA) is adopted due to its faster convergence and superior ability to maintain solution diversity compared to classical algorithms such as NSGA-II and MOEA/D, making it well-suited for solving complex non-convex planning problems. The simulation results demonstrate that the proposed optimization planning method effectively improves the voltage distribution and net load level of the IES distribution network, while the complementary characteristics of the electric–hydrogen hybrid energy storage system enhance the operational flexibility of the IES.

Suggested Citation

  • Yunfei Xu & Yiqiong He & Hongyang Liu & Heran Kang & Jie Chen & Wei Yue & Wencong Xiao & Zhenning Pan, 2025. "Optimization Configuration of Electric–Hydrogen Hybrid Energy Storage System Considering Power Grid Voltage Stability," Energies, MDPI, vol. 18(13), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3506-:d:1693548
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/13/3506/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/13/3506/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiang, Qian & Jia, Hongjie & Mu, Yunfei & Yu, Xiaodan & Wang, Zibo, 2024. "Bilateral planning and operation for integrated energy service provider and prosumers - A Nash bargaining-based method," Applied Energy, Elsevier, vol. 368(C).
    2. Guan, Aobo & Zhou, Suyang & Gu, Wei & Chen, Jinyi & Lv, Hongkun & Fang, Yunhui & Xv, Jie, 2024. "Enhancing stability of electric-steam integrated energy systems by integrating steam accumulator," Applied Energy, Elsevier, vol. 364(C).
    3. Lei, Dayong & Zhang, Zhonghui & Wang, Zhaojun & Zhang, Liuyu & Liao, Wei, 2023. "Long-term, multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mechanism and CCS," Energy, Elsevier, vol. 280(C).
    4. Li, Jiale & Yang, Bo & Huang, Jianxiang & Guo, Zhengxun & Wang, Jingbo & Zhang, Rui & Hu, Yuanweiji & Shu, Hongchun & Chen, Yixuan & Yan, Yunfeng, 2023. "Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network," 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. Lin, Xueru & Li, Jing & Zhong, Wei & Lin, Xiaojie & Zhang, Hong & Wei, Wei, 2025. "Cross-scale coordinated optimization method for electricity-thermal-hydrogen systems in chemical industrial parks based on long-term and short-term flexibility margin evaluation," Energy, Elsevier, vol. 340(C).
    2. Qinqin Xia & Yao Zou & Qianggang Wang, 2024. "Optimal Capacity Planning of Green Electricity-Based Industrial Electricity-Hydrogen Multi-Energy System Considering Variable Unit Cost Sequence," Sustainability, MDPI, vol. 16(9), pages 1-20, April.
    3. Chen, Shi & Duan, Xiaoyu & Lin, Jyh-Horng & Chang, Ching-Hui, 2024. "Impact of carbon capture and storage, cap-and-trade, and multiproduct cost structure on pollution in an oligopoly," Energy Economics, Elsevier, vol. 137(C).
    4. Li, Yanbin & Hu, Weikun & Zhang, Feng & Li, Yun, 2025. "Multi-objective collaborative operation optimization of park-level integrated energy system clusters considering green power forecasting and trading," Energy, Elsevier, vol. 319(C).
    5. Ge, Pingxu & Tang, Daogui & Yuan, Yuji & Guerrero, Josep M. & Zio, Enrico, 2025. "A hierarchical multi-objective co-optimization framework for sizing and energy management of coupled hydrogen-electricity energy storage systems at ports," Applied Energy, Elsevier, vol. 384(C).
    6. Yin, Linfei & Liu, Rongkun & Ge, Wei, 2025. "Normalized deep neural network with self-attention mechanism accelerated ADMM for distributed energy management of regional integrated energy systems considering renewable energy uncertainty," Energy, Elsevier, vol. 330(C).
    7. Zhou, Suyang & Mou, Runfan & Gu, Wei & Wu, Zhi & Guan, Aobo & Zhuang, Wennan, 2025. "Optimal retrofit planning of pulp and paper industrial integrated energy system for enhancing flexibilities and carbon reduction capabilities," Applied Energy, Elsevier, vol. 393(C).
    8. Dongsen Li & Kang Qian & Ciwei Gao & Yiyue Xu & Qiang Xing & Zhangfan Wang, 2024. "Research on Electric Hydrogen Hybrid Storage Operation Strategy for Wind Power Fluctuation Suppression," Energies, MDPI, vol. 17(20), pages 1-15, October.
    9. Chen, Xianqing & Yang, Lingfang & Dong, Wei & Yang, Qiang, 2024. "Net-zero carbon emission oriented Bi-level optimal capacity planning of integrated energy system considering carbon capture and hydrogen facilities," Renewable Energy, Elsevier, vol. 237(PB).
    10. Peng, Menghao & Zhao, Yuxuan & Li, Jiarong & Jing, Zhaoxia, 2025. "Collaborative planning of hydrogen refuelling stations and DRGs in ADN for distributed energy consumption and flexibility enhancement," Applied Energy, Elsevier, vol. 396(C).
    11. Qu, Jiawei & Hou, Kai & Liu, Zeyu & Zhou, Yue & Zhu, Lewei & Dong, Xiaohong & Mu, Yunfei & Jia, Hongjie, 2025. "A hybrid time-and-event-driven strategy for integrated community energy system planning," Applied Energy, Elsevier, vol. 384(C).
    12. Yuan, Yi & Ding, Tao & Chang, Xinyue & Jia, Wenhao & Xue, Yixun, 2024. "A distributed multi-objective optimization method for scheduling of integrated electricity and hydrogen systems," Applied Energy, Elsevier, vol. 355(C).
    13. Chen, Shi & Li, Chuangzhi & Zang, Tianlei & Zhou, Buxiang & Yang, Lonjie & Qiu, Yiwei & Zhou, Yi & Zhang, Xiaoshun, 2024. "Multi-timescale dispatch technology for islanded energy system in the Gobi Desert," Renewable Energy, Elsevier, vol. 234(C).
    14. Li, Jiale & Yang, Bo & Pan, Zhenning & Li, Hongbiao & Gao, Dengke & Jiang, Lin, 2025. "Stackelberg-Nash bargaining-based low-carbon scheduling for multiple integrated multi-energy systems," Energy, Elsevier, vol. 339(C).
    15. Xin Huang & Junjie Zhong & Maner Xiao & Yuhui Zhu & Haojie Zheng & Bensheng Zheng, 2025. "Optimal and Sustainable Scheduling of Integrated Energy System Coupled with CCS-P2G and Waste-to-Energy Under the “Green-Carbon” Offset Mechanism," Sustainability, MDPI, vol. 17(11), pages 1-27, May.
    16. Bian, Yifan & Xie, Lirong & Ma, Lan & Zhang, Hangong, 2024. "A novel two-stage energy sharing method for data center cluster considering ‘Carbon-Green Certificate’ coupling mechanism," Energy, Elsevier, vol. 313(C).
    17. 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).
    18. Li, Jiale & Yang, Bo & Zhou, Yiming & Yan, Bingyue & Li, Hongbiao & Gao, Dengke & Jiang, Lin, 2026. "Stackelberg game-based optimal coordination for low carbon park with hydrogen blending system," Renewable Energy, Elsevier, vol. 256(PD).
    19. Hou, Hui & Ge, Xiangdi & Yan, Yulin & Lu, Yanchao & Zhang, Ji & Dong, Zhao Yang, 2024. "An integrated energy system “green-carbon” offset mechanism and optimization method with Stackelberg game," Energy, Elsevier, vol. 294(C).
    20. Shen, Weijie & Zeng, Bo & Zeng, Ming, 2023. "Multi-timescale rolling optimization dispatch method for integrated energy system with hybrid energy storage system," Energy, Elsevier, vol. 283(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:gam:jeners:v:18:y:2025:i:13:p:3506-:d:1693548. 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.