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.
CITATION STYLE
Tang, Q., Yang, K., Luo, Y. sheng, & Liu, Y. Y. (2017). Congestion probability balanced electric vehicle charging strategy in smart grid. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 203, pp. 192–201). Springer Verlag. https://doi.org/10.1007/978-3-319-61813-5_19
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