Optimal planning of SOP in distribution network considering 5G BS collaboration

Abstract The flexibility of soft open point (SOP) in spatial power regulation enhances the distribution network's (DN) integration of large‐scale renewable energy sources. However, the high cost of SOP and its limited capability for temporal power regulation impede its widespread adoption. Given the rapid expansion of 5G base stations (BSs), utilizing their energy storage to participate in DN planning and operation optimization provides a promising solution. Therefore, this paper proposes an optimal planning method of SOP in DN, considering collaborations with 5G BSs. The objective is to enhance DN’s power regulation in both temporal and spatial dimensions, while minimizing the investment cost of SOP and fully utilizing the unused capacity in base station energy storage (BSES). Firstly, the flexible regulation models of SOP and 5G BS are established, with the real‐time dispatchability of BSES formulated. Then, a bi‐level optimization model is proposed, where the planning layer aims to minimize the total cost, while the operational layer aims to decrease the average voltage deviation. Additionally, an improved Shapley value method based on interactive power is developed for benefit allocation, which enhances the engagement of 5G BSs to participate in DN regulation. The effectiveness of proposed method is validated by simulation results.

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Publication Details

Journal
IET Renewable Power Generation
Published
2024-10-18
DOI
https://doi.org/10.1049/rpg2.13131
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Optimal planning of SOP in distribution network considering 5G BS collaboration

Xiangjun Liu, Chao Long, Qi Qi, Kejia Wang et al.
IET Renewable Power Generation
Optimal Power Flow Distribution
article

Optimal planning of SOP in distribution network considering 5G BS collaboration

Xiangjun Liu, Chao Long, Qi Qi, Kejia Wang, Zihao Hou
article en

Abstract

Abstract The flexibility of soft open point (SOP) in spatial power regulation enhances the distribution network's (DN) integration of large‐scale renewable energy sources. However, the high cost of SOP and its limited capability for temporal power regulation impede its widespread adoption. Given the rapid expansion of 5G base stations (BSs), utilizing their energy storage to participate in DN planning and operation optimization provides a promising solution. Therefore, this paper proposes an optimal planning method of SOP in DN, considering collaborations with 5G BSs. The objective is to enhance DN’s power regulation in both temporal and spatial dimensions, while minimizing the investment cost of SOP and fully utilizing the unused capacity in base station energy storage (BSES). Firstly, the flexible regulation models of SOP and 5G BS are established, with the real‐time dispatchability of BSES formulated. Then, a bi‐level optimization model is proposed, where the planning layer aims to minimize the total cost, while the operational layer aims to decrease the average voltage deviation. Additionally, an improved Shapley value method based on interactive power is developed for benefit allocation, which enhances the engagement of 5G BSs to participate in DN regulation. The effectiveness of proposed method is validated by simulation results.

IET Renewable Power GenerationVol. 18(15)
University of Liverpool (GB), North China Electric Power University (CN), State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 84%
Optimal Power Flow Distribution
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Optimal planning of SOP in distribution network considering 5G BS collaboration — Xiangjun Liu, Chao Long, et al. · IET Renewable Power Generation (2024) | TGRS Research Map | TGRS