DocumentCode :
151736
Title :
Optimal charging schedule of Electric Vehicles considering variation of energy price
Author :
Andres, Arias L. ; Geovanny, Marulanda G. ; Camila, Puentes G. ; Hincapie, R.A. ; Mauricio, Granada E.
Author_Institution :
Dept. of Electr. Eng., Univ. Tecnol. de Pereira, Pereira, Colombia
fYear :
2014
fDate :
10-13 Sept. 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this article the program of recharging Electric Vehicles (EVs) in power distribution systems is proposed, based on a mathematical model of non-linear programming. The solution consists in finding the optimal power of recharge of the EVs in order to minimize the costs associated to energy losses of the system, and the impact of the chargeability of the lines. The study is done during a period of time between 18:00 and 07:00 in which several subperiods with priority factors of recharge are established. In this manner the customer previously decides the subperiod in which the EV will be recharged. In addition to this, energy price sensitivity is conferred to the mathematical model, becoming an important parameter for recharging the EVs at time intervals where the energy price is low. A residential distribution system from the specialized literature is used to validate the mathematical model, considering different insertion levels of EVs in the system.
Keywords :
battery storage plants; distribution networks; electric vehicles; nonlinear programming; charging schedule; electric vehicles; energy losses; energy price sensitivity; nonlinear programming; power distribution systems; Batteries; Electrical engineering; Energy loss; Mathematical model; Optimization; Substations; Chargeability; energy losses; level of insertion of EVs; program of recharging of EVs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission & Distribution Conference and Exposition - Latin America (PES T&D-LA), 2014 IEEE PES
Conference_Location :
Medellin
Print_ISBN :
978-1-4799-6250-1
Type :
conf
DOI :
10.1109/TDC-LA.2014.6955238
Filename :
6955238
Link To Document :
بازگشت