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Flexible Interconnected Distribution Network with Embedded DC System and Its Dynamic Reconfiguration

Author

Listed:
  • Huan Cai

    (College of Electrical Engineering, Guizhou University, Guiyang 550025, China)

  • Xufeng Yuan

    (College of Electrical Engineering, Guizhou University, Guiyang 550025, China)

  • Wei Xiong

    (College of Electrical Engineering, Guizhou University, Guiyang 550025, China)

  • Huajun Zheng

    (College of Electrical Engineering, Guizhou University, Guiyang 550025, China)

  • Yutao Xu

    (Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China)

  • Yongxiang Cai

    (Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China)

  • Jiumu Zhong

    (College of Electrical Engineering, Guizhou University, Guiyang 550025, China)

Abstract

Flexible interconnection transformation of a distribution network using all-control power electronics technology will help to overcome the technical bottleneck of distributed generation (DG) penetration and high-quality power supply in the traditional distribution network. However, the flexible interconnection form that uses back-to-back power electronic converters to replace tie switches has disadvantages such as high cost and large footprint, so its mass promotion and application are bound to be limited. Therefore, a new topology of flexible interconnected distribution network with embedded DC system (FDN+EDC) with a better economy is proposed. Firstly, the topology of FDN+EDC is introduced to improve the controllability level of the distribution network under high percentage DG penetration, and is compared with the conventional flexible interconnection method. Secondly, in order to realize the coordinated optimal economic operation of source, network and load in the FDN+EDC, a dynamic reconfiguration model of switches status and continuous adjustment of flexible interconnection device (FID) are proposed. Then, to achieve a fast and globally optimal solution of the model, a hierarchical coordinated optimization strategy is designed based on an improved particle swarm algorithm for the optimization of discrete and continuous variables. Finally, the validity of the algorithm is verified, and an 88-node FDN+EDC is constructed to verify the advantages of the proposed embedded DC flexible interconnection topology and realize the joint optimal dispatch of network-source-load.

Suggested Citation

  • Huan Cai & Xufeng Yuan & Wei Xiong & Huajun Zheng & Yutao Xu & Yongxiang Cai & Jiumu Zhong, 2022. "Flexible Interconnected Distribution Network with Embedded DC System and Its Dynamic Reconfiguration," Energies, MDPI, vol. 15(15), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5589-:d:877824
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    References listed on IDEAS

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    1. Ji, Haoran & Wang, Chengshan & Li, Peng & Zhao, Jinli & Song, Guanyu & Wu, Jianzhong, 2018. "Quantified flexibility evaluation of soft open points to improve distributed generator penetration in active distribution networks based on difference-of-convex programming," Applied Energy, Elsevier, vol. 218(C), pages 338-348.
    2. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Benefits analysis of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 165(C), pages 36-47.
    3. Li, Peng & Ji, Jie & Ji, Haoran & Song, Guanyu & Wang, Chengshan & Wu, Jianzhong, 2020. "Self-healing oriented supply restoration method based on the coordination of multiple SOPs in active distribution networks," Energy, Elsevier, vol. 195(C).
    4. Zhang, Lu & Shen, Chen & Chen, Ying & Huang, Shaowei & Tang, Wei, 2018. "Coordinated allocation of distributed generation, capacitor banks and soft open points in active distribution networks considering dispatching results," Applied Energy, Elsevier, vol. 231(C), pages 1122-1131.
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    Cited by:

    1. Tianxiang Ma & Ziqi Hu & Yan Xu & Haoran Dong, 2022. "Fault Location Based on Comprehensive Grey Correlation Degree Analysis for Flexible DC Distribution Network," Energies, MDPI, vol. 15(20), pages 1-16, October.
    2. Yan Xu & Ziqi Hu & Tianxiang Ma, 2022. "Monopolar Grounding Fault Location Method of DC Distribution Network Based on Improved ReliefF and Weighted Random Forest," Energies, MDPI, vol. 15(19), pages 1-23, October.

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