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A robust optimization approach for active and reactive power management in smart distribution networks using electric vehicles
Pirouzi, S. Agahaei, J. Latify, M.A. Yousefi, G.R. Mokryani, Geev
Pirouzi, S.
Agahaei, J.
Latify, M.A.
Yousefi, G.R.
Mokryani, Geev
Publication Date
2017-09
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© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Peer-Reviewed
Yes
Open Access status
Accepted for publication
2017-02-22
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Abstract
This paper presents a robust framework for active
and reactive power management in distribution networks using
electric vehicles (EVs). The method simultaneously minimizes the
energy cost and the voltage deviation subject to network and EVs
constraints. The uncertainties related to active and reactive
loads, required energy to charge EV batteries, charge rate of
batteries and charger capacity of EVs are modeled using
deterministic uncertainty sets. Firstly, based on duality theory,
the max min form of the model is converted to a max form.
Secondly, Benders decomposition is employed to solve the
problem. The effectiveness of the proposed method is
demonstrated with a 33-bus distribution network.
Version
Accepted Manuscript
Citation
Pirouzi S, Aghaei J, Latify MA et al (2017) A robust optimization approach for active and reactive power management in smart distribution networks using electric vehicles. IEEE Systems Journal. 12(3): 2699-2710.
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Type
Article