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Optimal coordination of G2V and V2G to support power grids with high penetration of renewable energy

Nguyen, Hoang N. T., Zhang, Cishen and Mahmud, Md. Apel 2015, Optimal coordination of G2V and V2G to support power grids with high penetration of renewable energy, IEEE transactions on transportation electrification, vol. 1, no. 2, pp. 188-195, doi: 10.1109/TTE.2015.2430288.

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Title Optimal coordination of G2V and V2G to support power grids with high penetration of renewable energy
Author(s) Nguyen, Hoang N. T.
Zhang, Cishen
Mahmud, Md. ApelORCID iD for Mahmud, Md. Apel orcid.org/0000-0002-5302-5338
Journal name IEEE transactions on transportation electrification
Volume number 1
Issue number 2
Start page 188
End page 195
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2015-08
ISSN 2332-7782
Summary Electric vehicles (EVs) have recently gained much popularity as a green alternative to fossil-fuel cars and a feasible solution to reduce air pollution in big cities. The use of EVs can also be extended as a demand response tool to support high penetration of renewable energy (RE) sources in future smart grid. Based on the certainty equivalent adaptive control (CECA) principle and a customer participation program, this paper presents a novel control strategy using optimization technique to coordinate not only the charging but also the discharging of EV batteries to deal with the intermittency in RE production. In addition, customer charging requirements and schedules are incorporated into the optimization algorithm to ensure customer satisfaction, and further improve the control performance. The merits of this scheme are its simplicity, efficiency, robustness and readiness for practical applications. The effectiveness of the proposed control algorithm is demonstrated by computer simulations of a power system with high level of wind energy integration.
Language eng
DOI 10.1109/TTE.2015.2430288
Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
Socio Economic Objective 850599 Renewable Energy not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084012

Document type: Journal Article
Collection: School of Engineering
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