Author(s)

Baoyi Wang ¹, Yongbo Zhou ¹, Shaomin Zhang ¹

Affiliation(s)

¹ School of Control and Computer Engineering, North China Electric Power University, Baoding, 071003, China

Corresponding Author

Baoyi Wang

ABSTRACT

Reasonable planning of electric vehicle charging station is of great significance for large-scale use of electric vehicles. Based on the analysis of charging station construction requirements, a multi-objective planning model for charging station location problem considering users' satisfaction and operator benefits is constructed. From the point of view of users' satisfaction, consider the electric vehicle charging station's location problem with two parts, one is minimum of driving distance, the other is shortest time of waiting for charging. From the point of view of operator benefits, is the lowest cost of construction of charging station. Then, the improved tabu-genetic algorithm is proposed to solve this model. The test results show that the model proposed in this paper can effectively determine the locations and the service regions of the recharging stations, and the algorithm is quick and effective.

KEYWORDS

Electric vehicle, Charging station, Queuing system, Tabu-genetic algorithm

CITE THIS PAPER

Baoyi, W., Yongbo Z.,Shaomin Z. (2017) Multi-objective Planning Model of Electric Vehicle Charging Station. Information Systems and Signal Processing Journal (2017) Vol.2, Num.1: 23-28.

REFERENCES

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