Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29054
Title: Electric vehicle cluster scheduling model for distribution systems considering reactive power compensation of charging piles
Authors: Huang, L
Li, H
Lai, CS
Zobaa, AF
Zhong, B
Zhao, Z
Lai, LL
Keywords: electric vehicle;cluster optimization model;reactive power compensation;distribution network;electric vehicle aggregator
Issue Date: 24-May-2024
Publisher: MDPI
Citation: Huang, L. et al. (2024) 'Electric vehicle cluster scheduling model for distribution systems considering reactive power compensation of charging piles', Energies, 17 (11), 2541pp. 1 - 24. doi: 10.3390/en17112541.
Abstract: With the increasing number of electric vehicles (EVs), their uncoordinated charging poses a great challenge to the safe operation of the power grid. In addition, traditional individual-EV scheduling models may be difficult to solve due to the increasing number of constraints. Therefore, this paper proposes a cluster-based EV scheduling model. Firstly, electric vehicle clusters (EVCs) are formed based on the charging and discharging preferences of EV users and the expected time for EVs to leave. Secondly, the EVC energy and power boundary aggregation method based on the Minkowski addition algorithm is proposed. Finally, for the sake of reducing user charging cost and distribution network energy loss, and smoothing the daily load curve, an EVC scheduling model for EV participation in grid auxiliary services is proposed. The optimization model includes the reactive-power compensation of EV charging piles. The simulation results show that the proposed EVC scheduling model can greatly reduce the solution time compared to traditional individual-EV scheduling model. The model has high potential to be applied to large-scale EV scheduling. The reactive-power compensation provided by EV charging piles improves the voltage quality of the grid and enables more EVs to be connected to the grid.
Description: Data Availability Statement: The data presented in this study are available on request from the author Liping Huang (e-mail address: huangliping@zqu.edu.cn). The data are not publicly available due to privacy restrictions.
URI: https://bura.brunel.ac.uk/handle/2438/29054
DOI: https://doi.org/10.3390/en17112541
Other Identifiers: ORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438
ORCiD: Ahmed F. Zobaa https://orcid.org/0000-0001-5398-2384
ORCiD: Loi Lei Lai https://orcid.org/0000-0003-4786-7931
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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