DocumentCode
3467487
Title
Optimal microgrid operation with electric vehicles
Author
López, M.A. ; Martín, S. ; Aguado, J.A. ; de la Torre, S.
Author_Institution
Dept. of Electr. Eng., Univ. of Malaga, Malaga, Spain
fYear
2011
fDate
5-7 Dec. 2011
Firstpage
1
Lastpage
8
Abstract
The concern about the complete depletion of fossil fuels along with the negative environmental impact of most of the current energy sources are significant reasons to think of a different way to produce electrical energy and, at the same time, satisfy the necessities for urban mobility. In this context, microgrids (MGs) are power networks which, among other properties, allow more flexible demand consumption, and also help with, the efficient integration of renewable resources and electric vehicles (EVs). However, the effect of the incorporation of EVs has to be taken into consideration with care, since that situation may drive to unfeasible operations in grids which have not been designed to support these particular elements. In this paper, a system composed of different agents is used to develop a market-oriented operation in a MG with several EV charge stations. It is expected that the system takes to an optimal management allowing a technically feasible operation considering the behaviour of every agent involved. The demand shifting and the flexible operation of EVs, spatial and temporal, are features that reduce costs and thus improve the benefit of the participants.
Keywords
distributed power generation; electric vehicles; fossil fuels; renewable energy sources; demand shifting; electric vehicles; electrical energy; energy sources; flexible operation; fossil fuel depletion; negative environmental impact; optimal management; optimal microgrid operation; renewable resources; Batteries; Electric vehicles; Energy states; Generators; Load flow; Reactive power; Electric vehicles; energy storage; microgrids; optimal power flow; price responsive demand; renewable resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies (ISGT Europe), 2011 2nd IEEE PES International Conference and Exhibition on
Conference_Location
Manchester
ISSN
2165-4816
Print_ISBN
978-1-4577-1422-1
Electronic_ISBN
2165-4816
Type
conf
DOI
10.1109/ISGTEurope.2011.6162696
Filename
6162696
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