Research Article
Congestion Probability Balanced Electric Vehicle Charging Strategy in Smart Grid
@INPROCEEDINGS{10.1007/978-3-319-61813-5_19, author={Qiang Tang and Kun Yang and Yuan-sheng Luo and Yu-yan Liu}, title={Congestion Probability Balanced Electric Vehicle Charging Strategy in Smart Grid}, proceedings={Smart Grid Inspired Future Technologies. Second EAI International Conference, SmartGIFT 2017, London, UK, March 27--28, 2017, Proceedings}, proceedings_a={SMARTGIFT}, year={2017}, month={9}, keywords={Congestion probability Charging cost Voltage level Electric vehicle Smart grid}, doi={10.1007/978-3-319-61813-5_19} }- Qiang Tang
Kun Yang
Yuan-sheng Luo
Yu-yan Liu
Year: 2017
Congestion Probability Balanced Electric Vehicle Charging Strategy in Smart Grid
SMARTGIFT
Springer
DOI: 10.1007/978-3-319-61813-5_19
Abstract
In this paper, a coordinated charging strategy CCCS (Charging Congestion probability based Charging Strategy) is proposed, which considers the congestion probabilities of the charging stations (CSs), the charging costs of the electric vehicles (EVs), the distance between EV and charging station and EV users’ satisfactions. The coordinated charging issue is formulated as a convex optimization problem, which can be solved to get the distributed charging algorithms, based on which the communication system is further proposed. In order to illustrate the performance, we put forward three benchmarks. In the simulation, we combine the power grid i.e. MATPOWER and the charging module together to build the simulation platform. Simulation results show that CCCS performs well in terms of balancing the congestion probabilities, reducing charging costs, and mitigating the impacts on the power grid voltage.
