IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i9p2327-d1648356.html
   My bibliography  Save this article

Error Analysis of the Convex Hull Method for the Solution of the Distribution System Security Region

Author

Listed:
  • Jun Xiao

    (State Key Laboratory of Intelligent Power Distribution Equipment and System, Tianjin University, Tianjin 300072, China)

  • Lixing Wang

    (State Key Laboratory of Intelligent Power Distribution Equipment and System, Tianjin University, Tianjin 300072, China)

  • Yupeng Zhou

    (State Key Laboratory of Intelligent Power Distribution Equipment and System, Tianjin University, Tianjin 300072, China)

Abstract

The convex hull method is a common approach for the solution of the distribution system security region (DSSR). For the first time, this paper identifies that this method is not applicable to solve many DSSRs. Firstly, the model of the DSSR and the convex hull based solving method for the DSSR are briefly introduced. Secondly, the concepts of the concave region and convex region in the DSSR are presented. Thirdly, theoretical analyses are separately conducted for concave and convex regions, which result in two theorems and one corollary, leading to the following conclusions: (1) The convex hull method is not suitable for solving concave regions, while concave regions are widely present in real-world distribution networks. (2) Error may also be produced by the convex hull method when solving convex regions. For the convex region, the condition for an error-free solution is proven, the error causes are analyzed, and error reduction measures are proposed. Finally, the theoretical analyses are validated through case studies. The validation shows that when solving concave regions, the convex hull method can produce significant error and thus cannot satisfy the requirements for a security analysis. When solving convex regions, measures should be taken to minimize or remove error. This paper has significant value in enhancing the fundamental theory of the DSSR and applying it correctly in practice.

Suggested Citation

  • Jun Xiao & Lixing Wang & Yupeng Zhou, 2025. "Error Analysis of the Convex Hull Method for the Solution of the Distribution System Security Region," Energies, MDPI, vol. 18(9), pages 1-21, May.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2327-:d:1648356
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/9/2327/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/9/2327/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    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. 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," Applied Energy, Elsevier, vol. 370(C).
    2. Wang, Yongzhen & Zhang, Lanlan & Song, Yi & Han, Kai & Zhang, Yan & Zhu, Yilin & Kang, Ligai, 2024. "State-of-the-art review on evaluation indicators of integrated intelligent energy from different perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    3. Dong, Hongxin & Han, Zhongyang & Zhao, Jun & Wang, Wei, 2024. "A dynamic security region construction method and its existence proof for gaseous system," Applied Energy, Elsevier, vol. 367(C).
    4. Tianyi Guan & Zhuang Ma & Hao Ren & Qingshuai Yu & Rongxing Zhang & Zhenao Sun, 2025. "Research on Safety Domain Modeling of Low-Voltage Distribution Substations Based on High-Dimensional Safety Region Analysis," Energies, MDPI, vol. 18(5), pages 1-20, February.
    5. 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.
    6. Jiang, Xun & Zhou, Yue & Ming, Wenlong & Wu, Jianzhong, 2023. "Feasible operation region of an electricity distribution network," Applied Energy, Elsevier, vol. 331(C).
    7. Lang Zhao & Yuan Zeng & Zhidong Wang & Yizheng Li & Dong Peng & Yao Wang & Xueying Wang, 2023. "Robust Optimal Scheduling of Integrated Energy Systems Considering the Uncertainty of Power Supply and Load in the Power Market," Energies, MDPI, vol. 16(14), pages 1-14, July.
    8. Masoud Shirazi & José Alberto Fuinhas & Nuno Silva, 2023. "Sustainable economic development and geopolitics: The role of energy trilemma policies," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(4), pages 2471-2491, August.
    9. Shirazi, Masoud, 2022. "Assessing energy trilemma-related policies: The world's large energy user evidence," Energy Policy, Elsevier, vol. 167(C).
    10. Jiao, Heng & Lin, Xiqiao & Xiao, Jun & Zu, Guoqiang & Song, Chenhui & Qiu, Zekai & Bao, Zhenyu & Zhou, Chunli, 2023. "Concavity-convexity of distribution system security region. Part I: Observation results and mechanism," Applied Energy, Elsevier, vol. 342(C).
    11. Karolina Czerwińska & Andrzej Pacana, 2024. "Analysis of Energy Security Based on Level of Alignment with the Goals of Agenda 2030," Energies, MDPI, vol. 17(12), pages 1-30, June.
    12. Jiang, Tao & Li, Xue & Kou, Xiao & Zhang, Rufeng & Tian, Guoda & Li, Fangxing, 2022. "Available transfer capability evaluation in electricity-dominated integrated hybrid energy systems with uncertain wind power: An interval optimization solution," Applied Energy, Elsevier, vol. 314(C).
    13. 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).
    14. Li, Xue & Du, Xiaoxue & Jiang, Tao & Zhang, Rufeng & Chen, Houhe, 2022. "Coordinating multi-energy to improve urban integrated energy system resilience against extreme weather events," Applied Energy, Elsevier, vol. 309(C).
    15. 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).
    16. Xiao, Jun & Qu, Yuqing & She, Buxin & Song, Chenhui, 2023. "Operational boundary of flow network," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    17. Bu, Yuntao & Yu, Hao & Ji, Haoran & Song, Guanyu & Xu, Jing & Li, Juan & Zhao, Jinli & Li, Peng, 2024. "Hybrid data-driven operation method for demand response of community integrated energy systems utilizing virtual and physical energy storage," Applied Energy, Elsevier, vol. 366(C).
    18. Zhao, Peiyao & Li, Zhengshuo & Bai, Xiang & Su, Jia & Chang, Xinyue, 2024. "Stochastic real-time dispatch considering AGC and electric-gas dynamic interaction: Fine-grained modeling and noniterative decentralized solutions," Applied Energy, Elsevier, vol. 375(C).
    19. Xiao, Jun & Li, Chengjin & She, Buxin & Jiao, Heng & Wang, Chuanqi & Zhang, Shihao, 2024. "Distribution system security region with energy storage systems," Energy, Elsevier, vol. 313(C).
    20. Cao, Yan & Xu, Yan, 2025. "Secure operation of a multi-energy system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).

    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:9:p:2327-:d:1648356. 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.