Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Primary frequency response from electric vehicles in the Great Britain power system

Mu, Yunfei, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602, Ekanayake, Janaka ORCID: https://orcid.org/0000-0003-0362-3767, Jenkins, Nicholas ORCID: https://orcid.org/0000-0003-3082-6260 and Jia, Hongjie 2013. Primary frequency response from electric vehicles in the Great Britain power system. IEEE Transactions on Smart Grid 4 (2) , pp. 1142-1150. 10.1109/TSG.2012.2220867

Full text not available from this repository.

Abstract

With the increasing use of renewable energy in the Great Britain (GB) power system, the role of electric vehicles (EVs) contributes to primary frequency response was investigated. A tool was developed to estimate the EV charging load based on statistical analysis of EV type, battery capacity, maximum travel range and battery state of charge. A simplified GB power system model was used to investigate the contribution of EVs to primary frequency response. Two control modes were considered: disconnection of charging load (case I) and discharge of stored battery energy (case II). For case II, the characteristic of the EV charger was also considered. A case study shows results for the year 2020. Three EV charging strategies: “dumb” charging, “off-peak” charging, and “smart” charging, were compared. Simulation results show that utilizing EVs to stabilize the grid frequency in the GB system can significantly reduce frequency deviations. However the requirement to schedule frequency response from conventional generators is dynamic throughout the day.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords: Electric vehicles (EVs), primary frequency response, state of charge (SOC), vehicle-to-grid (V2G)
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1949-3053
Funders: Chinese Government
Last Modified: 21 Oct 2022 09:49
URI: https://orca.cardiff.ac.uk/id/eprint/37909

Citation Data

Cited 284 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item