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Open AccessArticle

Optimization Strategy of Electric Vehicles Charging Path Based on “Traffic-Price-Distribution” Mode

1
College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China
2
School of Economics & Management, Tongji University, Shanghai 200092, China
3
College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
4
College of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(12), 3208; https://doi.org/10.3390/en13123208
Received: 29 November 2019 / Revised: 23 February 2020 / Accepted: 27 February 2020 / Published: 20 June 2020
(This article belongs to the Section Smart Grids and Microgrids)
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. View Full-Text
Keywords: electric vehicles charging navigation system; charging path; road transportation network; distribution network; real-time electricity price electric vehicles charging navigation system; charging path; road transportation network; distribution network; real-time electricity price
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MDPI and ACS Style

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.

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