DocumentCode :
725477
Title :
A MILP model for optimal charging coordination of storage devices and electric vehicles considering V2G technology
Author :
Carlos F, Sabillon A. ; Franco, John F. ; Rider, Marcos J. ; Romero, Ruben
Author_Institution :
Dept. Electr. Eng., UNESP, Ilha Solteira, Brazil
fYear :
2015
fDate :
10-13 June 2015
Firstpage :
60
Lastpage :
65
Abstract :
In this work, a MILP formulation is proposed to solve the optimal charging coordination of electrical vehicles (EVs) and storage devices (SDs) in electrical distribution systems (EDS). EVs with vehicle-to-grid (V2G) technology are also considered. The method defines an optimal charging schedule for SDs and EVs along a day-long time period. The formulation considers the EVs arrival and departure times and their initial state of charge. The initial energy, the expected energy at the end of the time period and the allowed deep of discharge are also considered for the SDs. Additionally, the energy contribution of EVs equipped with V2G technology and distributed generation is taken into account. The presented formulation was tested in a 34-node EDS. The results show the efficiency and robustness of the methodology, and also demonstrate that the model can be used in the real-time solution of the EVs and SDs charging coordination problem in EDS.
Keywords :
distributed power generation; electric vehicles; energy storage; integer programming; linear programming; load distribution; power generation scheduling; power grids; EDS; EV optimal charging scheduling; MILP model; SD optimal charging scheduling; V2G technology; distributed generation; electric vehicle optimal charging coordination; electrical distribution system; mixed integer linear programming; storage device optimal charging coordination; vehicle-to-grid technology; Batteries; Electric vehicles; Energy states; Manganese; Mathematical model; Reactive power; Electrical distribution system; electric vehicles; mixed integer linear programming; optimal charging; storage devices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-7992-9
Type :
conf
DOI :
10.1109/EEEIC.2015.7165336
Filename :
7165336
Link To Document :
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