A Study on Coordinated Optimization of Electric Vehicle Charging and Charging Pile Selection

This paper was intended to explore the mutual influences between electric vehicle (EV) charging and charging facility planning, to establish a two-stage model for optimizing the EVs’ charging and charging piles’ selection. In the first stage, the distribution pattern of the demands for EV charging, and various EVs were effectively grouped, in order to reduce the amount of computation for solving the second stage model. The goal of the second stage was to minimize the annual investment and electricity purchasing costs on the charging piles, and the coordinated optimization was carried out for EV charging and charging pile selection. The CPLEX and IP_SOLVE packages were used in MATLAB (R2014a/64 bits) to solve the established optimization model. The simulation results showed that, compared with the scheme for selecting the charging pile under the typical charging pattern (TCP), the total cost of the charging pile could be reduced by 6.32% with a scheme under the optimized charging pattern (OCP), thereby promoting the coordinated development of both the EVs and charging facilities.

[1]  Jie Yang,et al.  A data-driven optimization-based approach for siting and sizing of electric taxi charging stations , 2017 .

[2]  Michael Tjepkema,et al.  A national study of the association between traffic-related air pollution and adverse pregnancy outcomes in Canada, 1999-2008. , 2016, Environmental research.

[3]  Zhong Chen,et al.  Study of a New Quick-Charging Strategy for Electric Vehicles in Highway Charging Stations , 2016 .

[4]  Canbing Li,et al.  Aggregator-Based Interactive Charging Management System for Electric Vehicle Charging , 2016 .

[5]  J. Driesen,et al.  The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid , 2010, IEEE Transactions on Power Systems.

[6]  Yan Zhou,et al.  An optimization framework for workplace charging strategies , 2015 .

[7]  Xueliang Huang,et al.  Coordinated Control of PV Generation and EVs Charging Based on Improved DECell Algorithm , 2015 .

[8]  Yafeng Yin,et al.  Cost-Effective and Ecofriendly Plug-In Hybrid Electric Vehicle Charging Management , 2017 .

[9]  Yu-Hong Dai,et al.  Algorithms, softwares and recent developments of mixed integer nonlinear programming , 2016 .

[10]  Zhong Chen,et al.  A Study on Price-Based Charging Strategy for Electric Vehicles on Expressways , 2016 .

[11]  Zygmunt J. Haas,et al.  Optimal Capacity Sizing for Completely Green Charging Systems for Electric Vehicles , 2017, IEEE Transactions on Transportation Electrification.

[12]  Yunhe Hou,et al.  Asymptotic properties of Pearson's rank-variate correlation coefficient in bivariate normal model , 2016, Signal Process..

[13]  Jeremy J. Michalek,et al.  Estimating the potential of controlled plug-in hybrid electric vehicle charging to reduce operational and capacity expansion costs for electric power systems with high wind penetration , 2014 .