Open AccessA Coordinated Charging/Discharging Strategy for Electric Vehicles Based on Price Guidance Mechanism
Author(s) -
Jiaoru Song,
Lian Suo,
Mengxia Han,
Yue Wang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/5/052103
Subject(s) - electric vehicle , electricity , automotive engineering , computer science , electricity price , peak demand , monte carlo method , simulation , power (physics) , engineering , electrical engineering , statistics , physics , mathematics , quantum mechanics
In view of the contradiction between the rapid growth of electric vehicles ownership and the imbalance of electric vehicles’ charging demand and the lower distribution network service ability, a coordinated charging/discharging strategy maximizing the discharge depth on the basis of satisfying the charging demand of electric vehicles is proposed. This paper analyses the relationship between the charging/discharging time intervals of electric vehicles and the division of time-of-use electricity price, the vehicles’ arrival/departure time and the daily driving mileage. Take minimizing load fluctuation as the objective and take meeting the charging demand of electric vehicle users as the restrains based on time-of-use electricity price. Monte Carlo simulation and PSO algorithm are used for simulation and calculation. The results show that with the coordinated charging and discharging strategy, it can not only realize the peak load shifting, but make the customers’ charging cost lower.