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Collaborative Renewable Energy Resource Siting and Sizing Planning Method for Distribution and Sub-Transmission Networks

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  • Jun Xiao

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

  • Guowei He

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

  • Chengjin Li

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

Abstract

Existing methods plan the distribution network and sub-transmission network separately. This paper proposes a collaborative renewable energy resource siting and sizing planning method for distribution and sub-transmission networks to increase the renewable energy ratio in high-load density industrial parks and promote the hosting capacity of the power grid. First, to accurately measure planning effectiveness, a renewable energy ratio calculation method is proposed, which comprehensively considers the contributions of green electricity from the power grid and renewable energy generation inside and outside the industrial park. Second, a collaborative planning model is proposed, which optimizes access points and access capacity in the distribution and sub-transmission networks for renewable energy around the park. The net load is better matched with the output of renewable energy outside the park through demand response, thereby maximizing the utilization of the park load to host more renewable energy. Finally, the proposed method is verified in a real industrial park. The method outperforms traditional planning methods in terms of renewable energy ratio in the park and renewable energy hosting capacity outside the park.

Suggested Citation

  • Jun Xiao & Guowei He & Chengjin Li, 2025. "Collaborative Renewable Energy Resource Siting and Sizing Planning Method for Distribution and Sub-Transmission Networks," Energies, MDPI, vol. 18(21), pages 1-27, October.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:21:p:5666-:d:1781844
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