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On the robustness of a multiperiod energy management
system including electric vehicles and V2G operation
A. Jiménez-Marín, J. Pérez-Ruiz
2017/04/25
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Abstract
In recent years, the potential capability
of plug-in electric vehicles to offset the intermittency of renewable
generation is being analyzed widely. In power systems literature, these
electric vehicles are often merged into an aggregator, i.e. an agent responsible
of their charging/discharging operation. However, the available power
from the aggregator is likewise subject to uncertainty. In this paper,
a robust linear programming problem is considered to model the power system
operation. In order to clarify the influence of the electric vehicles
on the solution, only the available power from the electric vehicles aggregator
is taken into account. A multiperiod case study is used to show the behavior
of the robust optimization framework in the solution of a multiperiod
energy management system. The role of the uncertainty level and different
criteria to reduce the cost of uncertainty are also analyzed.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 15) |
| Pages: 734-739 |
Date of Publication: 2017/04/25 |
| ISSN: 2172-038X |
Date of Current Version: |
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REF: 452-17
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Issue Date: April 2017 |
| DOI:10.24084/repqj15.452 |
Publisher: EA4EPQ |
Authors and affiliations
A. Jiménez-Marín, J. Pérez-Ruiz
Department of Electrical Engineering. Universidad de Málaga. (Spain)
Key word
Energy management, electric vehicles, robust optimization,
uncertainty level.
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