DocumentCode :
715122
Title :
Controlling electric vehicle charging points for congestion management of UK LV networks
Author :
Petrou, Kyriacos ; Quiros-Tortos, Jairo ; Ochoa, Luis F.
Author_Institution :
Univ. of Manchester, Manchester, UK
fYear :
2015
fDate :
18-20 Feb. 2015
Firstpage :
1
Lastpage :
5
Abstract :
High penetration of Electric Vehicles (EVs) in residential UK Low Voltage (LV) networks may result in significant asset congestion (transformers and cables), particularly during peak hours. Therefore, this work proposes an implementable, centralized control algorithm that manages EV charging points to mitigate congestion in LV networks. To assess the need of control actions to avoid congestion issues, this work initially quantifies the potential impacts of different EV penetration levels on a real UK LV network. To demonstrate the effectiveness of the proposed control algorithm, analyses for uncontrolled and controlled charging of EVs are carried out. Monte Carlo simulations (considering 1-min resolution data) are undertaken to cater for domestic and EV load profile uncertainties. Results for this particular LV network indicate that asset congestion might occur for EV penetration levels larger than 40%. More importantly, the results show the effectiveness of the proposed centralized control algorithm in avoiding the congestion effects on the LV network, even for a 100% penetration of EVs.
Keywords :
Monte Carlo methods; centralised control; hybrid electric vehicles; load flow control; EV load profile uncertainty; EV penetration levels; Monte Carlo simulation; UK LV network; asset congestion; centralized control algorithm; congestion management; domestic load profile uncertainty; electric vehicle charging point control; Centralized control; Electric vehicles; Load modeling; Low voltage; Monte Carlo methods; Power cables; Real-time systems; Congestion management; electric vehicles; low voltage networks; real-time control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2015.7131843
Filename :
7131843
Link To Document :
بازگشت