Multi-Objective Planning for Electric Vehicle Charging Stations Considering TOU Price

This paper proposes an Electric Vehicle charging station planning method which takes Time-of-Use price into consideration. First of all, the impact of Time- of-Use price on EV user charging behavior is described specifically. Secondly, a multi-objective model for the optimal planning of EV charging station is developed to maximize the charging demands captured by EV charging stations, minimize the total cost during charging, and minimize the electrical load variance. Thirdly, Particle Swarm Optimization algorithm with constriction factor is utilized to solve the planning problem. The Data Envelopment Analysis method is employed to select the optimal solution. Simulation results illustrate the effectiveness of the proposed method using case study consisting of an IEEE 33-node distribution system and a 33-node traffic network system as an example.

[1]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[2]  He Xuanhu,et al.  Coordinated Charging Strategy for Electric Vehicles Based on Time-of-use Price , 2013 .

[3]  K. Schneider,et al.  Impact assessment of plug-in hybrid vehicles on pacific northwest distribution systems , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[4]  Kit Po Wong,et al.  Traffic-Constrained Multiobjective Planning of Electric-Vehicle Charging Stations , 2013, IEEE Transactions on Power Delivery.

[5]  João Peças Lopes,et al.  Electric vehicle integration into modern power networks , 2013 .

[6]  Prakornchai Phonrattanasak,et al.  Multiobjective ant colony optimization for fast charging stations planning in residential area , 2014, 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[7]  Erchin Serpedin,et al.  Optimal planning of fast PEV charging facilities , 2015, 2015 First Workshop on Smart Grid and Renewable Energy (SGRE).

[8]  Thomas H. Bradley,et al.  Analysis of plug-in hybrid electric vehicle utility factors , 2010 .

[9]  Hong Liu,et al.  The planning of electric vehicle charging station based on Grid partition method , 2011, 2011 International Conference on Electrical and Control Engineering.

[10]  J. M. Grau,et al.  The Exact Solution of the Environmental/Economic Dispatch Problem , 2012, IEEE Transactions on Power Systems.

[11]  Richard L. Church,et al.  The maximal covering location problem , 1974 .

[12]  Changhe Li,et al.  A Self-Learning Particle Swarm Optimizer for Global Optimization Problems , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[13]  Chen Hongkun Electric Vehicle Public Charging Stations Location Optimal Planning , 2012 .

[14]  Z. Jianhua,et al.  Multi-objective optimization charging strategy for plug-in electric vehicles based on time-of-use price , 2022 .