Coordinated Charging Guiding Strategy for Electric Vehicles in Temporal-spatial Dimension Considering User Satisfaction Degree

doi:10.11930/j.issn.1004-9649.201807075

Abstract

Abstract: The charging behavior of large-scale electric vehicles (EVs) is random and uncertain in temporal and spatial dimensions. An architecture for coordinated charging guiding model is thus built based on the internet of vehicles system with integration of multi-networks. In order to reflect the diversity of charging time choices for users accessing the system, the EVs are divided into receiving/not receiving system scheduling clusters according to the user’s charging wishes. Then, the satisfaction function under different dimensions is established to mobilize the participation of EV users, and a coordinated charging guidance strategy is proposed on this basis. In temporal level, the load curve is adjusted via directing the charging time of EV users. In spatial level, the selection of charging station is planned for various vehicles. Based on an IEEE 33-node distribution grid with integration of four charging stations, a model simulation is made using the optimization software LINGO11. The simulation results proves that the proposed guidance strategy has good controlling effects, and can improve the load curve of grid and the equipment utilization of charging stations.

Key words: electric vehicles, charging guidance, temporal-spatial dimension, internet of vehicles, user satisfaction degree

JIANG Yijing, YU Aiqing, HUANG Minli. Coordinated Charging Guiding Strategy for Electric Vehicles in Temporal-spatial Dimension Considering User Satisfaction Degree[J]. Electric Power, 2020, 53(4): 122-130.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201807075

https://www.electricpower.com.cn/EN/Y2020/V53/I4/122

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