TY - JOUR
T1 - Supply Function Game Based Energy Management between Electric Vehicle Charging Stations and Electricity Distribution System Considering Quality of Service
AU - Li, Yuanzheng
AU - Ni, Zhixian
AU - Zhao, Tianyang
AU - Zhong, Tianwei
AU - Liu, Yun
AU - Wu, Lei
AU - Zhao, Yong
N1 - Publisher Copyright:
© 1972-2012 IEEE.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - In recent years, electric vehicle charging stations (EVCSs) have been deployed very fast, which offer a platform for the energy coordination between electric vehicles (EVs) and the electricity distribution system (DS). This paper presents an energy management method for the operation of EVCSs and DS while considering their interaction. In this method, we first use a quality-of-service constrained decision model for EVCSs, which is formulated based on the network calculus theory. Then, the DS aims to maximize its utility by scheduling charging plans for EVCSs. Afterwards, a game based on the supply function equilibrium (SFE) model is adopted to analyze the energy interaction, in which each EVCS is regarded as the leader, and the DS as the follower. In this way, an optimization problem with equilibrium constraints is established. Moreover, a hybrid optimization algorithm based on differential evolution and interior point method is used to obtain the equilibrium solution of the SFE game. Finally, simulation studies verify the effectiveness of proposed interactive energy management method.
AB - In recent years, electric vehicle charging stations (EVCSs) have been deployed very fast, which offer a platform for the energy coordination between electric vehicles (EVs) and the electricity distribution system (DS). This paper presents an energy management method for the operation of EVCSs and DS while considering their interaction. In this method, we first use a quality-of-service constrained decision model for EVCSs, which is formulated based on the network calculus theory. Then, the DS aims to maximize its utility by scheduling charging plans for EVCSs. Afterwards, a game based on the supply function equilibrium (SFE) model is adopted to analyze the energy interaction, in which each EVCS is regarded as the leader, and the DS as the follower. In this way, an optimization problem with equilibrium constraints is established. Moreover, a hybrid optimization algorithm based on differential evolution and interior point method is used to obtain the equilibrium solution of the SFE game. Finally, simulation studies verify the effectiveness of proposed interactive energy management method.
KW - Electric vehicles charging stations
KW - electricity distribution system
KW - energy management
KW - equilibrium
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85092167316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092167316&partnerID=8YFLogxK
U2 - 10.1109/TIA.2020.2988196
DO - 10.1109/TIA.2020.2988196
M3 - Article
AN - SCOPUS:85092167316
SN - 0093-9994
VL - 56
SP - 5932
EP - 5943
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 5
M1 - 9072309
ER -