IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v230y2024ics0960148124007894.html

Flexible allocation and optimal configuration of multi-level energy exploitation units for heterogeneous energy systems considering resource distribution

Author

Listed:
  • Zheng, J.H.
  • Guo, J.C.
  • Deng, Weisi
  • Li, Zhigang
  • Wu, Q.H.
  • Zhou, X.X.

Abstract

The energy systems are evolving into heterogeneous energy systems (HESs) with complicated integration of sources, networks, loads, and storage towards a decarbonized future of human beings. This paper develops the flexible allocation and optimal configuration of multi-level energy exploitation units (MEEUs) for the HES considering resource distribution including local energy conditions and actual coupled relationship of various energy networks. A bi-level optimal planning model of MEEUs for the HES considering initial investment cost, carbon emission cost, operation cost and line loss is developed to figure out the optimal location, structure, configuration and corresponding operation strategy. To address the non-convex and non-linear model, a novel hybrid solution method considering the mixing characteristics of mixed-integer second-order cone programming (MISOCP) model and quadratic non-convex model is proposed. The solution method adopts MISOCP model for figuring out the optimal location, structure and configuration of MEEUs and quadratic non-convex model for optimal operation strategy of MEEUs, which not only improves the computational efficiency but also ensures the solution accuracy. Finally, the related case studies are conducted to compare the proposed MEEU and distributed energy storage unit (DESU) in terms of energy consumption, renewable energy absorbency, carbon emission and line loss. The results verify the significant improvement of the comprehensive energy efficiency, the investment potentiality and the environmental benefits obtained by the proposed planning model.

Suggested Citation

  • Zheng, J.H. & Guo, J.C. & Deng, Weisi & Li, Zhigang & Wu, Q.H. & Zhou, X.X., 2024. "Flexible allocation and optimal configuration of multi-level energy exploitation units for heterogeneous energy systems considering resource distribution," Renewable Energy, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:renene:v:230:y:2024:i:c:s0960148124007894
    DOI: 10.1016/j.renene.2024.120721
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124007894
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120721?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. Dong, Haiyan & Fu, Yanbo & Jia, Qingquan & Wen, Xiangyun, 2022. "Optimal dispatch of integrated energy microgrid considering hybrid structured electric-thermal energy storage," Renewable Energy, Elsevier, vol. 199(C), pages 628-639.
    2. Lu, Mengke & Guan, Jun & Wu, Huahua & Chen, Huizhe & Gu, Wei & Wu, Ye & Ling, ChengXiang & Zhang, Linqiang, 2022. "Day-ahead optimal dispatching of multi-source power system," Renewable Energy, Elsevier, vol. 183(C), pages 435-446.
    3. Wang, Yi & Zhang, Ning & Zhuo, Zhenyu & Kang, Chongqing & Kirschen, Daniel, 2018. "Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch," Applied Energy, Elsevier, vol. 210(C), pages 1141-1150.
    4. Meng, Anbo & Wu, Zhenbo & Zhang, Zhan & Xu, Xuancong & Tang, Yanshu & Xie, Zhifeng & Xian, Zikang & Zhang, Haitao & Luo, Jianqiang & Wang, Yu & Yan, Baiping & Yin, Hao, 2024. "Optimal scheduling of integrated energy system using decoupled distributed CSO with opposition-based learning and neighborhood re-dispatch strategy," Renewable Energy, Elsevier, vol. 224(C).
    5. Yin, Linfei & Tao, Min, 2023. "Balanced broad learning prediction model for carbon emissions of integrated energy systems considering distributed ground source heat pump heat storage systems and carbon capture & storage," Applied Energy, Elsevier, vol. 329(C).
    6. Zeng, Qing & Zhang, Baohua & Fang, Jiakun & Chen, Zhe, 2017. "A bi-level programming for multistage co-expansion planning of the integrated gas and electricity system," Applied Energy, Elsevier, vol. 200(C), pages 192-203.
    7. Ren, Hongbo & Jiang, Zipei & Wu, Qiong & Li, Qifen & Lv, Hang, 2023. "Optimal planning of an economic and resilient district integrated energy system considering renewable energy uncertainty and demand response under natural disasters," Energy, Elsevier, vol. 277(C).
    8. Mikkelson, Daniel & Frick, Konor, 2022. "Analysis of controls for integrated energy storage system in energy arbitrage configuration with concrete thermal energy storage," Applied Energy, Elsevier, vol. 313(C).
    9. Zheng, J.H. & Xiao, Wenting & Wu, C.Q. & Li, Zhigang & Wang, L.X. & Wu, Q.H., 2023. "A gradient descent direction based-cumulants method for probabilistic energy flow analysis of individual-based integrated energy systems," Energy, Elsevier, vol. 265(C).
    10. Ren, Hongbo & Jiang, Zipei & Wu, Qiong & Li, Qifen & Yang, Yongwen, 2022. "Integrated optimization of a regional integrated energy system with thermal energy storage considering both resilience and reliability," Energy, Elsevier, vol. 261(PB).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Guozhou & Hu, Weihao & Zhao, Yincheng & Cui, Zhengjie & Chen, Jianjun & Tang, Chao & Chen, Zhe, 2024. "Meta-learning and proximal policy optimization driven two-stage emergency allocation strategy for multi-energy system against typhoon disasters," Renewable Energy, Elsevier, vol. 237(PC).

    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. Hu, Yishuang & Ding, Yi & Bao, Minglei, 2024. "An efficient reliability evaluation method for large-scale multi-performance multi-state series-parallel systems considering multi-dimensional approximation," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
    2. Lv, Hang & Wu, Qiong & Ren, Hongbo & Li, Qifen & Zhou, Weisheng, 2024. "A two-stage decision-making approach for optimal design and operation of integrated energy systems considering multiple uncertainties and diverse resilience needs," Energy, Elsevier, vol. 305(C).
    3. Xuan, Ang & Shen, Xinwei & Luo, Yangfan, 2025. "Bi-level Integrated Electricity and Natural Gas System retrofit planning model considering Carbon Capture, Utilization and Storage," Applied Energy, Elsevier, vol. 385(C).
    4. Lin, Chun-Cheng & Zhang, Shi-Yu & Chou, Yu-Lun & Liu, Wan-Yu, 2025. "Energy management scheduling of a smart factory with carbon capture and storage, carbon emission quota cap-and-trade, and green energy trading," Energy, Elsevier, vol. 333(C).
    5. Yang, Jingwei & Zhang, Ning & Botterud, Audun & Kang, Chongqing, 2020. "Situation awareness of electricity-gas coupled systems with a multi-port equivalent gas network model," Applied Energy, Elsevier, vol. 258(C).
    6. Zhang, Zenghui & Zhou, Kaile & Yang, Shanlin, 2024. "A post-disaster load supply restoration model for urban integrated energy systems based on multi-energy coordination," Energy, Elsevier, vol. 303(C).
    7. Aunedi, Marko & Pantaleo, Antonio Marco & Kuriyan, Kamal & Strbac, Goran & Shah, Nilay, 2020. "Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems," Applied Energy, Elsevier, vol. 276(C).
    8. Wang, Zhenni & Tan, Qiaofeng & Wen, Xin & Su, Huaying & Fang, Guohua & Wang, Hao, 2025. "Capacity optimization of retrofitting cascade hydropower plants with pumping stations for renewable energy integration: A case study," Applied Energy, Elsevier, vol. 377(PC).
    9. Liu, Zhi-Feng & Zhao, Shi-Xiang & Luo, Xing-Fu & Huang, Ya-He & Gu, Rui-Zheng & Li, Ji-Xiang & Li, Ling-Ling, 2025. "Two-layer energy dispatching and collaborative optimization of regional integrated energy system considering stakeholders game and flexible load management," Applied Energy, Elsevier, vol. 379(C).
    10. Cheng, Yaohua & Zhang, Ning & Kirschen, Daniel S. & Huang, Wujing & Kang, Chongqing, 2020. "Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China," Applied Energy, Elsevier, vol. 261(C).
    11. Félix González & Paul Arévalo & Luis Ramirez, 2025. "Game Theory and Robust Predictive Control for Peer-to-Peer Energy Management: A Pathway to a Low-Carbon Economy," Sustainability, MDPI, vol. 17(5), pages 1-23, February.
    12. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    13. 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).
    14. Yutong Zhao & Shuang Zeng & Yifeng Ding & Lin Ma & Zhao Wang & Anqi Liang & Hongbo Ren, 2024. "Cost–Benefit Analysis of Distributed Energy Systems Considering the Monetization of Indirect Benefits," Sustainability, MDPI, vol. 16(2), pages 1-13, January.
    15. Gao, Xianhui & Wang, Sheng & Sun, Ying & Zhai, Junyi & Chen, Nan & Zhang, Xiao-Ping, 2024. "Low-carbon energy scheduling for integrated energy systems considering offshore wind power hydrogen production and dynamic hydrogen doping strategy," Applied Energy, Elsevier, vol. 376(PA).
    16. Toufani, Parinaz & Nadar, Emre & Kocaman, Ayse Selin, 2022. "Short-term assessment of pumped hydro energy storage configurations: Up, down, or closed?," Renewable Energy, Elsevier, vol. 201(P1), pages 1086-1095.
    17. Xie, Shiwei & Hu, Zhijian & Wang, Jueying & Chen, Yuwei, 2020. "The optimal planning of smart multi-energy systems incorporating transportation, natural gas and active distribution networks," Applied Energy, Elsevier, vol. 269(C).
    18. Zhu, Haohao & Wang, Xiluo & Wen, Yutong & Zhu, Jizhong & Li, Jiayi & Luo, Qingju & Liao, Chenlei, 2025. "A review of integrated energy system modeling and operation," Applied Energy, Elsevier, vol. 400(C).
    19. Liu, Yuanchao & Zheng, Ruifan & Shen, Rendong & Zhao, Jun & Shi, Zekun & Wang, Guangliang & Yang, Dongfang & Li, Yang, 2025. "Research on capacity configuration optimization of integrated energy system by integrating energy hub and response surface methodology," Energy, Elsevier, vol. 330(C).
    20. Zhang, Chenwei & Wang, Ying & Zheng, Tao & Zhang, Kaifeng, 2024. "Complex network theory-based optimization for enhancing resilience of large-scale multi-energy System11The short version of the paper was presented at CUE2023. This paper is a substantial extension of the short version of the conference paper," Applied Energy, Elsevier, vol. 370(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:230:y:2024:i:c:s0960148124007894. 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.