IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v348y2023ics030626192300853x.html
   My bibliography  Save this article

Model, calculation, and application of available supply capability for distribution systems

Author

Listed:
  • Xiao, Jun
  • Lin, Xiqiao
  • Jiao, Heng
  • Song, Chenhui
  • Zhou, Huan
  • Zu, Guoqiang
  • Zhou, Chunli
  • Wang, Dan

Abstract

This paper proposes the mathematical model, and calculation method of available supply capability (ASC) for distribution systems. Firstly, the mathematical model for ASC is established, considering all allowed load increments from the present operating point to the security boundary of a distribution system. Secondly, the calculation method for the ASC model is proposed. The results of the proposed method can describe the available supply capability of a distribution system completely, including not only the ASC values, but also some other important data, such as all load growth patterns and cross-boundary points when the system reaches its security boundary. Finally, an IEEE RBTS test system with DGs is used to demonstrate the proposed models and method. Similar to the ATC of the transmission systems, the proposed ASC is an important operational index that can help operators accurately evaluate the supply capability margin of a distribution system. The ASC relevant operational guides are also given in this paper. This work lays the foundation for establishing the ASC theory for distribution systems, which corresponds to the ATC theory for transmission systems.

Suggested Citation

  • Xiao, Jun & Lin, Xiqiao & Jiao, Heng & Song, Chenhui & Zhou, Huan & Zu, Guoqiang & Zhou, Chunli & Wang, Dan, 2023. "Model, calculation, and application of available supply capability for distribution systems," Applied Energy, Elsevier, vol. 348(C).
  • Handle: RePEc:eee:appene:v:348:y:2023:i:c:s030626192300853x
    DOI: 10.1016/j.apenergy.2023.121489
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192300853X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.121489?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Liu & Wang, Dan & Hou, Kai & Jia, Hong-jie & Li, Si-yuan, 2020. "Region model and application of regional integrated energy system security analysis," Applied Energy, Elsevier, vol. 260(C).
    2. Liu, Hong & Cao, Yuchen & Ge, Shaoyun & Xu, Zhengyang & Gu, Chenghong & He, Xingtang, 2022. "Load carrying capability of regional electricity-heat energy systems: Definitions, characteristics, and optimal value evaluation," Applied Energy, Elsevier, vol. 310(C).
    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. Yongheng Luo & Zhonglong Li & Sen Li & Fei Jiang, 2023. "Risk Assessment for Energy Stations Based on Real-Time Equipment Failure Rates and Security Boundaries," Sustainability, MDPI, vol. 15(18), pages 1-27, September.

    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. Wen Fan & Qing Liu & Mingyu Wang, 2021. "Bi-Level Multi-Objective Optimization Scheduling for Regional Integrated Energy Systems Based on Quantum Evolutionary Algorithm," Energies, MDPI, vol. 14(16), pages 1-15, August.
    2. Tahir, Muhammad Faizan & Haoyong, Chen & Guangze, Han, 2022. "Evaluating individual heating alternatives in integrated energy system by employing energy and exergy analysis," Energy, Elsevier, vol. 249(C).
    3. Ding, Shixing & Gu, Wei & Lu, Shuai & Yu, Ruizhi & Sheng, Lina, 2022. "Cyber-attack against heating system in integrated energy systems: Model and propagation mechanism," Applied Energy, Elsevier, vol. 311(C).
    4. Jiang, Tao & Zhang, Rufeng & Li, Xue & Chen, Houhe & Li, Guoqing, 2021. "Integrated energy system security region: Concepts, methods, and implementations," Applied Energy, Elsevier, vol. 283(C).
    5. Jun Zhang & Jiangquan Wang & Linling Zhang & Lei Zhao, 2022. "Impact of industrialization on China’s regional energy security in the New Era," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8418-8440, June.
    6. Shirazi, Masoud & Fuinhas, José Alberto, 2023. "Portfolio decisions of primary energy sources and economic complexity: The world's large energy user evidence," Renewable Energy, Elsevier, vol. 202(C), pages 347-361.
    7. Lasemi, Mohammad Ali & Arabkoohsar, Ahmad & Hajizadeh, Amin & Mohammadi-ivatloo, Behnam, 2022. "A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    8. Zhou, Suyang & Chen, Jinyi & Gu, Wei & Fang, Xin & Yuan, Xiaodong, 2023. "An adaptive space-step simulation approach for steam heating network considering condensate loss," Energy, Elsevier, vol. 263(PA).
    9. Mu, Yunfei & Chen, Wanqing & Yu, Xiaodan & Jia, Hongjie & Hou, Kai & Wang, Congshan & Meng, Xianjun, 2020. "A double-layer planning method for integrated community energy systems with varying energy conversion efficiencies," Applied Energy, Elsevier, vol. 279(C).
    10. Shirazi, Masoud, 2022. "Assessing energy trilemma-related policies: The world's large energy user evidence," Energy Policy, Elsevier, vol. 167(C).
    11. Lei, Yang & Wang, Dan & Jia, Hongjie & Chen, Jingcheng & Li, Jingru & Song, Yi & Li, Jiaxi, 2020. "Multi-objective stochastic expansion planning based on multi-dimensional correlation scenario generation method for regional integrated energy system integrated renewable energy," Applied Energy, Elsevier, vol. 276(C).
    12. Li, Yaohong & Tian, Ran & Wei, Mingshan, 2022. "Operation strategy for interactive CCHP system based on energy complementary characteristics of diverse operation strategies," Applied Energy, Elsevier, vol. 310(C).
    13. Wang, Deqing & Tian, Sihua & Fang, Lei & Xu, Yan, 2020. "A functional index model for dynamically evaluating China's energy security," Energy Policy, Elsevier, vol. 147(C).
    14. Zhuang, Wennan & Zhou, Suyang & Gu, Wei & Chen, Xiaogang, 2021. "Optimized dispatching of city-scale integrated energy system considering the flexibilities of city gas gate station and line packing," Applied Energy, Elsevier, vol. 290(C).
    15. Yongheng Luo & Zhonglong Li & Sen Li & Fei Jiang, 2023. "Risk Assessment for Energy Stations Based on Real-Time Equipment Failure Rates and Security Boundaries," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
    16. Lin, Yujun & Yang, Qiufan & Zhou, Jianyu & Chen, Xia & Wen, Jinyu, 2023. "A time-coupling consideration for evaluation of load carrying capacity in district multi-energy systems," Applied Energy, Elsevier, vol. 351(C).
    17. Li, Hang & Hou, Kai & Xu, Xiandong & Jia, Hongjie & Zhu, Lewei & Mu, Yunfei, 2022. "Probabilistic energy flow calculation for regional integrated energy system considering cross-system failures," Applied Energy, Elsevier, vol. 308(C).
    18. Liu, Hong & Cao, Yuchen & Ge, Shaoyun & Xu, Zhengyang & Gu, Chenghong & He, Xingtang, 2022. "Load carrying capability of regional electricity-heat energy systems: Definitions, characteristics, and optimal value evaluation," Applied Energy, Elsevier, vol. 310(C).
    19. Liu, Jizhen & Ma, Lifei & Wang, Qinghua, 2023. "Energy management method of integrated energy system based on collaborative optimization of distributed flexible resources," Energy, Elsevier, vol. 264(C).
    20. Yan Xu & Jianhao Zhang, 2020. "Regional Integrated Energy Site Layout Optimization Based on Improved Artificial Immune Algorithm," Energies, MDPI, vol. 13(17), pages 1-15, August.

    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:appene:v:348:y:2023:i:c:s030626192300853x. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.