Wang, Mingshen, Mu, Yunfei, Jia, Hongjie, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602, Yu, Xiaodan and Qi, Yan 2017. Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles. Applied Energy 185 (2) , pp. 1673-1683. 10.1016/j.apenergy.2016.02.008 |
Abstract
Considering the travelling behaviours of electric vehicles (EVs), an efficient power plant model of EVs (E-EPP) is developed for the active power regulation of the power system with large-scale wind farms. Based on the EV data base provided by the EU MERGE project, a generic V2G model (GVGM) is established. The Monte Carlo Simulation (MCS) method is implemented within the E-EPP to obtain the available response capacity of the EVs. A new active power regulation strategy based on the E-EPP is developed. A modified IEEE 118-bus system integrated with large-scale wind farms is used to verify the E-EPP model with the active power regulation strategy under different charging scenarios (dumb charging, smart charging and hybrid charging). The simulation results show that the E-EPP can improve the operating security and stability of the power system. The operation cost and the carbon emission are decreased by introducing large-scale wind farms.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Uncontrolled Keywords: | Electric vehicle (EV); Vehicle-to-grid (V2G); Generic V2G model (GVGM); Efficient power plant of the EVs (E-EPP); Active power regulation; Wind farm |
Publisher: | Elsevier |
ISSN: | 0306-2619 |
Funders: | EPSRC |
Date of Acceptance: | 2 February 2016 |
Last Modified: | 01 Nov 2022 11:38 |
URI: | https://orca.cardiff.ac.uk/id/eprint/95681 |
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