A privacy-protected distributed operation method for flexible distribution networks with EV charging load clusters

Hao Yu, Yulong Zhang, Jiahui Qu, Haoran Ji, Jiancheng Yu, Guanyu Song, Bing Sun and Jinli Zhao

Energy, 2025, vol. 327, issue C

Abstract: The large-scale integration of electric vehicle (EV) charging loads introduces significant complexity to the operation of distribution networks. The application of soft open points (SOPs) facilitates flexible distribution networks (FDNs) to achieve rapid and accurate power flow control among multiple EV charging load clusters. In addition, due to the heterogeneity of each EV charging load cluster, it is necessary to consider privacy protection. In this paper, a distributed operation method for FDNs is proposed based on proximal atomic coordination to address the privacy protection of multiple EV charging load clusters. First, the power complementarity of the EV charging load clusters is conducted based on flexible interconnection with the SOP. Then, privacy protection of the cluster is realized by encrypting the interaction information. Furthermore, considering the temporal coupling characteristics of EVs, a time-sequential cumulative injection energy model for EV charging loads is established. Finally, the proposed method is validated on a modified practical FDN with a four-terminal SOP. Case studies show that the proposed method can reduce the operating cost of FDN by 39.11 % and meet the requirements of EV charging loads with privacy protection, while facilitating flexible operation of distribution networks.

Keywords: Flexible distribution network (FDN); Soft open point (SOP); EV charging load clusters; Distributed operation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020511

DOI: 10.1016/j.energy.2025.136409

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