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A Novel Receiving End Grid Planning Method with Mutually Exclusive Constraints in Alternating Current/Direct Current Lines

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  • Yi Luo

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yin Zhang

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Muyi Tang

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Youbin Zhou

    (Electric Power Research Institute of Hubei Electric Power Company, Wuhan 430074, China)

  • Ying Wang

    (Electric Power Research Institute of Hubei Electric Power Company, Wuhan 430074, China)

  • Defu Cai

    (Electric Power Research Institute of Hubei Electric Power Company, Wuhan 430074, China)

  • Haiguang Liu

    (Electric Power Research Institute of Hubei Electric Power Company, Wuhan 430074, China)

Abstract

The large-scale application of high-voltage direct current (HVDC) transmission technology introduces mutually exclusive constraints (MEC) into the power grid planning, which deepens the complexity of power grid planning. The MECs decrease the planning efficiency and effectiveness of the conventional method. This paper proposes a novel hybrid alternating current (AC)/direct current (DC) receiving end grid planning method with MECs in AC/DC lines. The constraint satisfaction problem (CSP) is utilized to model the MECs in candidate lines and then the detailed planning model, in which mutually exclusive candidate lines are described by mutually exclusive variable and constraint sets. Additionally, the proposed planning model takes the hybrid AC/DC power system stability into consideration by introducing the multi-infeed short circuit ratio (MISCR). After establishing the hybrid AC/DC receiving end grid planning model with MECs, the backtracking search algorithm (BSA) is used to solve the optimal planning. The effectiveness of the proposed hybrid AC/DC grid planning method with MECs is verified by case studies.

Suggested Citation

  • Yi Luo & Yin Zhang & Muyi Tang & Youbin Zhou & Ying Wang & Defu Cai & Haiguang Liu, 2021. "A Novel Receiving End Grid Planning Method with Mutually Exclusive Constraints in Alternating Current/Direct Current Lines," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7141-:d:582071
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    References listed on IDEAS

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    1. Xing Chen & Suhua Lou & Yanjie Liang & Yaowu Wu & Xianglu He, 2021. "Optimal Scheduling of a Regional Power System Aiming at Accommodating Clean Energy," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    2. Wu, Zhi & Liu, Pengxiang & Gu, Wei & Huang, He & Han, Jun, 2018. "A bi-level planning approach for hybrid AC-DC distribution system considering N-1 security criterion," Applied Energy, Elsevier, vol. 230(C), pages 417-428.
    3. Liang, Z. & Chen, H. & Chen, S. & Lin, Z. & Kang, C., 2019. "Probability-driven transmission expansion planning with high-penetration renewable power generation: A case study in northwestern China," Applied Energy, Elsevier, vol. 255(C).
    4. Liu, Jia & Cheng, Haozhong & Zeng, Pingliang & Yao, Liangzhong & Shang, Ce & Tian, Yuan, 2018. "Decentralized stochastic optimization based planning of integrated transmission and distribution networks with distributed generation penetration," Applied Energy, Elsevier, vol. 220(C), pages 800-813.
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