Optimal operation planning of V2G-equipped Microgrid in the presence of EV aggregator
•Coordination of Electric Vehicle fleets in Microgrids helps their integration in power system.•Vehicle-to-grid represents a way to improve Electric Vehicle control.•Different relations between Electric Vehicle aggregator and Microgrid operator are sketched.•Operation plans of a Microgrid with Elect...
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Published in | Electric power systems research Vol. 152; pp. 295 - 305 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.11.2017
Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | •Coordination of Electric Vehicle fleets in Microgrids helps their integration in power system.•Vehicle-to-grid represents a way to improve Electric Vehicle control.•Different relations between Electric Vehicle aggregator and Microgrid operator are sketched.•Operation plans of a Microgrid with Electric Vehicle fleet are obtained for different users.
An optimal day-ahead operation planning procedure for Microgrids (MGs) integrating Electric Vehicles (EVs) in vehicle-to-grid (V2G) configuration is described in this work. It aims to determine the day-ahead operation plan by solving a non-linear optimization procedure involving daily cost and subject to dynamic operating constraints. The day-ahead operation plan aims to minimize MG operation daily costs, according to suitable load demand and source availability forecast, in the presence of an EV aggregator. In order to account for possible economic relationships between the EV aggregator and the MG operator, two different objective functions are considered. In order to investigate the influence of EV aggregator role on MG optimal operation management in different frameworks, the proposed approach is applied to a test MG taking into account residential or commercial customers’ load and EV exploitation profiles. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0378-7796 1873-2046 |
DOI: | 10.1016/j.epsr.2017.07.015 |