Working Paper Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 29 November 2019 / Approved: 30 November 2019 / Online: 30 November 2019 (09:39:27 CET)

How to cite: 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. Preprints 2019, 2019110384 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. Preprints 2019, 2019110384

Abstract

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.

Subject Areas

electric vehicles charging navigation system; charging path; road transportation network; distribution network; real-time electricity price

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