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

Jun Xiao, Guowei He and Chengjin Li ()
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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

Energies, 2025, vol. 18, issue 21, 1-27

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.

Keywords: distribution network; sub-transmission network; renewable energy; hosting capacity; renewable energy ratio (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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