TY - GEN
T1 - V2G Optimal Scheduling of Multiple EV Aggregator Based on TOU Electricity Price
AU - Huang, Qihang
AU - Wang, Xiuli
AU - Fan, Jiajie
AU - Qi, Shixiong
AU - Zhang, Wei
AU - Zhu, Chengzhi
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - In recent years, the scale of electric vehicles (EVs) has been continuously expanded, and vehicle-to-grid (V2G) technology has been developing. This paper provides a research on the optimal scheduling of multiple EV aggregators considering the effect of time-of-use (TOU) electricity price. First, effect of TOU electricity price on charging behaviour of EVs is described by price elasticity matrix of demand. Second, EV aggregator charge-discharge boundary model is put forward through analyzing travel demand as well as energy and power constraints of EVs. Third, the V2G optimal dispatching method of multiple EV aggregators is developed based on basic model of power system optimal scheduling. Finally, through numerical simulation, charge-discharge boundaries for EV aggregators and multiple PEV aggregator optimal dispatching results can be obtained, and the effectiveness of the proposed method is proved.
AB - In recent years, the scale of electric vehicles (EVs) has been continuously expanded, and vehicle-to-grid (V2G) technology has been developing. This paper provides a research on the optimal scheduling of multiple EV aggregators considering the effect of time-of-use (TOU) electricity price. First, effect of TOU electricity price on charging behaviour of EVs is described by price elasticity matrix of demand. Second, EV aggregator charge-discharge boundary model is put forward through analyzing travel demand as well as energy and power constraints of EVs. Third, the V2G optimal dispatching method of multiple EV aggregators is developed based on basic model of power system optimal scheduling. Finally, through numerical simulation, charge-discharge boundaries for EV aggregators and multiple PEV aggregator optimal dispatching results can be obtained, and the effectiveness of the proposed method is proved.
KW - Multiple EV aggregators
KW - optimal scheduling
KW - TOU electricity price
KW - travel demand
KW - V2G
UR - https://www.scopus.com/pages/publications/85070833971
U2 - 10.1109/EEEIC.2019.8783654
DO - 10.1109/EEEIC.2019.8783654
M3 - 会议稿件
AN - SCOPUS:85070833971
T3 - Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
BT - Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
Y2 - 11 June 2019 through 14 June 2019
ER -
