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Optimal Scheduling of AC–DC Hybrid Distribution Network Considering the Control Mode of a Converter Station

Author

Listed:
  • Xu Tang

    (Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China
    School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Liang Qin

    (Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China
    School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Zhichun Yang

    (Electric Power Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 430077, China)

  • Xiangling He

    (Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China
    School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Huaidong Min

    (Electric Power Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 430077, China)

  • Sihan Zhou

    (Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China
    School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Kaipei Liu

    (Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China
    School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

Abstract

Due to the difference in types of loads between regions and the increasing integration of random elements such as electric vehicles (EVs) and distributed generations (DGs), distribution station areas (DSAs) are facing challenges such as unbalanced load rates and voltage violations. An AC–DC hybrid distribution network formed by interconnecting AC-DSAs using flexible DC technology can not only address these issues, but also offer more efficient interfaces for EV charging piles and DC devices on the DC side. To fully leverage the advantages of the technology and coordinate dispatchable elements within each DSA, this paper proposes an optimal scheduling model, which balances the load rate between DSAs, improves voltage profiles, and considers the control mode of the converter station as a dispatchable element, taking into account its impact on the voltage deviation on the DC side. Simulation results demonstrate the effectiveness of the proposed model in balancing load rate and improving voltage profiles. Moreover, rational decision-making regarding the selection of the control mode for converter stations can effectively mitigate the voltage deviation on the DC side without deteriorating the voltage deviation on the AC side.

Suggested Citation

  • Xu Tang & Liang Qin & Zhichun Yang & Xiangling He & Huaidong Min & Sihan Zhou & Kaipei Liu, 2023. "Optimal Scheduling of AC–DC Hybrid Distribution Network Considering the Control Mode of a Converter Station," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8715-:d:1157992
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    References listed on IDEAS

    as
    1. Zhichun Yang & Fan Yang & Huaidong Min & Yu Shen & Xu Tang & Yun Hong & Liang Qin, 2023. "A Local Control Strategy for Voltage Fluctuation Suppression in a Flexible Interconnected Distribution Station Area Based on Soft Open Point," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    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. Laiqing Yan & Yulin Zhao & Tailin Xue & Ning Ma & Zhenwen Li & Zutai Yan, 2022. "Two-Layer Optimal Operation of AC–DC Hybrid Microgrid Considering Carbon Emissions Trading in Multiple Scenarios," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    4. Isuru, Mohasha & Hotz, Matthias & Gooi, H.B. & Utschick, Wolfgang, 2020. "Network-constrained thermal unit commitment fortexhybrid AC/DC transmission grids under wind power uncertainty," Applied Energy, Elsevier, vol. 258(C).
    5. Li, Peng & Ji, Haoran & Yu, Hao & Zhao, Jinli & Wang, Chengshan & Song, Guanyu & Wu, Jianzhong, 2019. "Combined decentralized and local voltage control strategy of soft open points in active distribution networks," Applied Energy, Elsevier, vol. 241(C), pages 613-624.
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