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Fair charging management of PHEVs in radial distribution networks with DG resources-a case study.

作者信息

Yazdanpanah Fardin, Kiani Mohammad Javad, Zadehbagheri Mahmoud, Mohammadi Sirus

机构信息

Department of Electrical Engineering, Yasuj Branch, Islamic Azad University, Yasuj, Iran.

Department of Electrical Engineering, Gachsaran Branch, Islamic Azad University, Gachsaran, Iran.

出版信息

Sci Rep. 2024 Dec 24;14(1):30631. doi: 10.1038/s41598-024-81206-3.

DOI:10.1038/s41598-024-81206-3
PMID:39719468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11668854/
Abstract

Considering the widespread use of PHEVs in advanced societies and the issues ahead, researchers' thinking has focused more on this issue. The important issue is that the use of EVs is increasing due to the advantages, but the necessary infrastructure for their charging stations in the distribution networks does not exist. The high penetration level of EVs can create a potential risk for the existing distribution network; the fair charging of EVs has a special value. This paper presents a new model for the fair charging management of EVs at the medium voltage level of a distribution network equipped with dispatchable and non-dispatchable distributed generation (DG) resources. A fuzzy controller is used to adjust the charging rate of EVs within the permissible periods for charging stations, At the same time, the voltage control and reactive power management tool is also available for the distribution network operator through DG resources that can be dispatched, such as diesel generators. Numerical studies are used on a 25-bus IEEE test distribution system in the presence and absence of DG resources. The simulation results show that the presence of DG resources and voltage control and reactive power management at the different buses along the feeder causes a larger number of electric vehicles in different charging stations of the distribution network can be provided their consumption energy from network. In addition, the time difference for EV charging is minimized, and only the number of EVs that can be charged at the various stations will be different. Volt/Var control tools through DSO cause an increase in the number of charged EVs at various stations.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/459f/11668854/a4de656ebbdd/41598_2024_81206_Fig22_HTML.jpg
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本文引用的文献

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Optimal planning and allocation of Plug-in Hybrid Electric Vehicles charging stations using a novel hybrid optimization technique.使用新型混合优化技术对插电式混合动力汽车充电站进行优化规划和分配。
PLoS One. 2023 Jul 26;18(7):e0284421. doi: 10.1371/journal.pone.0284421. eCollection 2023.