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Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy

Author

Listed:
  • Qihe Lou

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yanbin Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Zhenwei Li

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Liu Han

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Ying Xu

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Zhongkai Yi

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

Abstract

Currently, the world is rapidly advancing in terms of the construction of new power systems, and planning suitable distribution network planning while also considering renewable energy has become a hot issue. Based on this background, this paper studies the distribution network planning problem. Compared with the traditional planning method, the paper considers the impact of load growth and renewable energy penetration and uses the multi-stage planning method to build the planning model; at the same time, in the scenarios selection, the affinity propagation (AP) clustering algorithm is adopted, which can automatically obtain the number of clusters. Based on the proposed model, an IEEE 33-node is used for simulation. The simulation results show that, compared with the traditional static planning method, the total economic cost of the proposed method is reduced by 4.87% and the wind–solar curtailment rate is reduced by 59.01%; in addition, according to the proposed method, the impact of energy storage equipment and wind–solar permeability on the planning results is studied. It is found that, when considering energy storage, the amount of abandoned wind and light decreases by 22.35% and the total cost first decreases and then increases with the increase in wind–solar permeability, while the total economic cost reaches the minimum at about 40%. The impact of load growth rate on the planning results is also studied. Finally, the generalizability of the proposed method is investigated while using the IEEE 69-node system as an example.

Suggested Citation

  • Qihe Lou & Yanbin Li & Zhenwei Li & Liu Han & Ying Xu & Zhongkai Yi, 2025. "Multi-Stage Planning Approach for Distribution Network Considering Long-Term Variations in Load and Renewable Energy," Energies, MDPI, vol. 18(1), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:1:p:152-:d:1558870
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    References listed on IDEAS

    as
    1. Roustaei, M. & Niknam, T. & Salari, S. & Chabok, H. & Sheikh, M. & Kavousi-Fard, A. & Aghaei, J., 2020. "A scenario-based approach for the design of Smart Energy and Water Hub," Energy, Elsevier, vol. 195(C).
    2. Jinhua Zhang & Liding Zhu & Shengchao Zhao & Jie Yan & Lingling Lv, 2023. "Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network," Energies, MDPI, vol. 16(5), pages 1-21, February.
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