The aim of this project is to develop an intelligent grid interfaced vehicle eco-charging (iGIVE) system for more reliable, more flexible and efficient, and more environmental friendly smart gird solutions for seamless integration of distributed low-carbon intermittent power generation and large number of EVs.
POGONATUM : morphology, anatomy, reproduction etc.
iGive Project poster
1. Harbin Institute of Technology, China
SGEPRI, ChinaCranfield University, UK
Intelligent Grid Interfaced Vehicle Eco-charging
Introduction Team Members
Work Packages
Events
Prof Kang Li, PI Dr David Laverty, CI Dr Aoife Foley, CI
Dr Jing Deng Dr Songyan Wang Mr Zhile Yang Mr Cheng Zhang
Prof Shukang Cheng, PI Prof Shumei Cui
Mr Xiaofei Liu Mr Jintang Li
Dr Xiaofang LiuDr Yufeng GuoDr Weixing LiProf Ruiye LiuProf Jilai YuProf Chunbo Zhou Prof Qianfan Zhang
Mr Lei Pei Mr Weifeng GaoMs Tiansi Wang Mr Mingfei BanMs Jing GEMr Tuopu Na
Prof Patrick Chi-
Kwong LUK, CI
Dr Akram Bati Dr Weizhong Fei
Mr Wenyi Liang Mr Mohammed
Alkhafaji
Mr Mohammed
Al-Saadi
Prof Yuisheng Xue
Mr Dongliang Xie Mr Juai Wu
Queen’s University Belfast, UKFor power generation from renewable sources like wind and
solar, the biggest challenge is their intermittent, variable and
uncertain nature thus limiting their acceptance. Fortunately,
the increasing number of electric vehicles provide great
opportunities in regulating electricity generation through
Vehicle-to-Grid (V2G) or Vehicle-to-Building (V2B)
technologies. Through smart charging, the peak load can be
shifted, excess energy can be stored and fed back to the grid
when needed, and regulation services, such as frequency and
voltage control, can be implemented. Thus reducing both the
operational costs for existing plants and investment in
building new electricity generation capacity.
WP1) Development of energy and information flow framework for iGIVE
WP2) Power flow control-based battery model
WP3) Bi-directional traction drive charging system
WP4) Model for environment friendly EV battery charging
WP5) Optimal dispatching strategy for EV charging and discharging
WP6) Holistic system model for the impact of EV actors
http://igive.wikidot.com/ http://www.i-give.org.uk/ K.LI@qub.ac.uk
Prof Kang Li, PI, Queen’s University Belfast
Coolkeeragh
Kilroot
Tandragee
UCD
Ballylumford
QUB
Altahullion
Elliott’s Hill
Tappaghan
Buncrana
Letterkenny
Wind Farms
Power
StationsInterconnect
orOther Sites
Legend
Queen’s University Belfast
Phasor Measurement Network
Enniskillen
Aghyoule
Network
Studies
QUB Open PMU network for Northern
Ireland
A battery management system has been setup
to control charging and discharging of lithium-
ion battery pack
Multi-source and Multi-storage charging and
discharging system
Project meetings
Invited seminars
Prof Yusheng Xue at QUB July 2013
Prof Kang Li at Energy Research Workshop, London, March 2014
Prof Daniel S. Yeung at QUB April 2014
Dr Guido Maion at QUB November 2013
Editor-in-Chief: Yusheng XUE
“Special Issue on Electric Vehicles
and Integration with Power Grid”
Paper submission deadline: Sept. 30, 2014
Acceptance notification: Dec, 2014-Jan, 2015
Date of Publication: April 2015
Research outputs have been published at: (and more)
Workshop on Integration of Electric Vehicles with Smart Grid