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

Lili Gong, Wu Cao, Kangli Liu, Jianfeng Zhao and Xiang Li
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Lili Gong: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Wu Cao: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Kangli Liu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Jianfeng Zhao: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Xiang Li: LiuZhou Power Supply Bureau, GuangXi Power Grid Co., Ltd., Liuzhou 545006, China

Energies, 2018, vol. 11, issue 6, 1-16

Abstract: 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.

Keywords: plug-in electric vehicles; coordinated charging; distribution network; trip chain; particle swarm optimization; national household trip survey data (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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