Abstract
According to the current optimization problem of electric vehicle charging path planning, a charging path optimization strategy for electric vehicles is proposed, which is under the “traffic-price-distribution” mode. Moreover, this strategy builds an electric vehicle charging and navigation system on the basis of the road traffic network model, real-time electricity price model and distribution network model. Based on the Dijkstra shortest path algorithm and Monte Carlo time-space prediction method, it gets the optimal charging path navigation with the goal of minimizing the charging cost of electric vehicles. The simulation results in MATLAB and MATPOWER (MATLAB R2018a, MATPOWER3.1b2, PSERC, Cannell University) show that the electric vehicle charging path optimization strategy can solve the local traffic congestion problem better and improve the safety and stability of the distribution network because of the fully considering the convenience of electric vehicle charging.
Highlights
The World Oil Outlook 2017 claimed that the transport sector accounted for 54.6% of world oil consumption in 2017 [1]
To simplify the difference between the actual location of the charging station and the location of the distribution network node, it is assumed that the number of each charging station is in athe coincident network node
It is not difficult to see that even in the dual-peak situation, the optimal charging path navigation can still make the charging load more reasonably distributed among the distribution network nodes
Summary
The World Oil Outlook 2017 claimed that the transport sector accounted for 54.6% of world oil consumption in 2017 [1]. This paper develops a more comprehensive real-time electricity price mechanism, and builds a “traffic-price-distribution” model through MATLAB simulation technology, and proposes a method that fully considers the information exchange situation of the road traffics network and distribution network, implements a convenient path optimization strategy for Energies 2020, 13, x FOR PEER REVIEW of the road traffics network and distribution network, implements a convenient path optimization for electric vehicle charging. 3 of optimization strategy can better solve the problems of traffic congestion, uneven load distribution of charging stations, and safety of the distribution network operation while reducing the charging cost electric vehicle charging. The main innovations of this paper can be summarized as better solve the problems of traffic congestion, uneven load distribution of charging stations, and safety follows: of the distribution network operation while reducing the charging cost of large-scale electric vehicle. In electric vehicle users, and more reasonably saving charging costs for electric vehicle users
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