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Open AccessArticle

Spatial and Temporal Optimization Strategy for Plug-In Electric Vehicle Charging to Mitigate Impacts on Distribution Network

1
School of Electrical Engineering, Southeast University, Nanjing 210096, China
2
LiuZhou Power Supply Bureau, GuangXi Power Grid Co., Ltd., Liuzhou 545006, China
*
Author to whom correspondence should be addressed.
Energies 2018, 11(6), 1373; https://doi.org/10.3390/en11061373
Received: 26 April 2018 / Revised: 20 May 2018 / Accepted: 21 May 2018 / Published: 29 May 2018
(This article belongs to the Section Electrical Power and Energy System)
The large deployment of plug-in electric vehicles (PEVs) challenges the operation of the distribution network. Uncoordinated charging of PEVs will cause a heavy load burden at rush hour and lead to increased power loss and voltage fluctuation. To overcome these problems, a novel coordinated charging strategy which considers the moving characteristics of PEVs is proposed in this paper. Firstly, the concept of trip chain is introduced to analyze the spatial and temporal distribution of PEVs. Then, a stochastic optimization model for PEV charging is established to minimize the distribution network power loss (DNPL) and maximal voltage deviation (MVD). After that, the particle swarm optimization (PSO) algorithm with an embedded power flow program is adopted to solve the model, due to its simplicity and practicality. Last, the feasibility and efficiency of the proposed strategy is tested on the IEEE 33 distribution system. Simulation results show that the proposed charging strategy not only reduces power loss and the peak valley difference, but also improves voltage profile greatly. View Full-Text
Keywords: plug-in electric vehicles; coordinated charging; distribution network; trip chain; particle swarm optimization; national household trip survey data plug-in electric vehicles; coordinated charging; distribution network; trip chain; particle swarm optimization; national household trip survey data
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MDPI and ACS Style

Gong, L.; Cao, W.; Liu, K.; Zhao, J.; Li, X. Spatial and Temporal Optimization Strategy for Plug-In Electric Vehicle Charging to Mitigate Impacts on Distribution Network. Energies 2018, 11, 1373. https://doi.org/10.3390/en11061373

AMA Style

Gong L, Cao W, Liu K, Zhao J, Li X. Spatial and Temporal Optimization Strategy for Plug-In Electric Vehicle Charging to Mitigate Impacts on Distribution Network. Energies. 2018; 11(6):1373. https://doi.org/10.3390/en11061373

Chicago/Turabian Style

Gong, Lili; Cao, Wu; Liu, Kangli; Zhao, Jianfeng; Li, Xiang. 2018. "Spatial and Temporal Optimization Strategy for Plug-In Electric Vehicle Charging to Mitigate Impacts on Distribution Network" Energies 11, no. 6: 1373. https://doi.org/10.3390/en11061373

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