Abstract
• EVs charging guiding strategy. • The third-generation prospect theory. • Distribution network, road network, fast charging station. • Travel time, charging load. As an important load, electric vehicles (EVs) have great randomness. The integration of a large number of electric vehicles will have a great impact on the stable operation of the distribution network (DN) and road network. Therefore, in this paper a charging guiding strategy based on the third-generation prospect theory (PT3) is proposed combined with the fast charging station (FCS) integrated with photovoltaic-energy storage- charging. Based on the dynamic reference point, a real-time coupling relationship model is proposed. And the full state prospect description model of coupling system is proposed and described by the prospect value. Based on the proposed model, the aggregate of the prospect value is used to describe the full state of the coupling system. Therefore, the proposed strategy can analyze the uncoordinated issues by the full state prospect description model, and balance the coupling system by guiding EVs. Finally, an algorithm based on multi time scale is used to achieve real-time traffic-distribution network simulation. It is verified that the proposed method can not only fully coordinate the distribution of charging load, but also reasonably relieve the traffic pressure.
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