Yang, W.; Wang, H.; Wang, Z.; Fu, X.; Ma, P.; Deng, Z.; Yang, Z. Optimization Strategy of Electric Vehicles Charging Path Based on “Traffic-Price-Distribution” Mode. Energies2020, 13, 3208.
Yang, W.; Wang, H.; Wang, Z.; Fu, X.; Ma, P.; Deng, Z.; Yang, Z. Optimization Strategy of Electric Vehicles Charging Path Based on “Traffic-Price-Distribution” Mode. Energies 2020, 13, 3208.
Aiming at the current optimization problem of electric vehicle charging path planning, a charging path optimization strategy for electric vehicles under the "Traffic-Price-Distribution" mode is proposed. This strategy builds an electric vehicle charging and navigation system based on road traffic network model, real-time electricity price model and distribution network model. Based on Dijkstra shortest path algorithm and Monte Carlo time-space prediction method, the goal is to minimize the charging cost of electric vehicles. Optimal charging path. The simulation results of MATLAB and MATPOWER show that the electric vehicle charging path optimization strategy can better solve the local traffic congestion problem and improve the safety and stability of the distribution network on the basic of fully considering the convenience of electric vehicle charging.
electric vehicles charging navigation system; charging path; road transportation network; distribution network; real-time electricity price
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.