TY - GEN
T1 - Coordinated charging strategy of electric vehicle charging station based on combination of linear power flow and genetic algorithm
AU - Rong, Xiaoxue
AU - Wang, Bo
AU - Shao, Chuanjun
AU - Yu, Guangyuan
AU - Wang, Yan'An
AU - Sun, Qiming
AU - Bie, Zhaohong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/9
Y1 - 2016/12/9
N2 - To reduce the negative effects caused by electric vehicles (EVs), this paper proposes a coordinated charging strategy for batteries in EV charging station. According to the charging characteristics of EV batteries, the strategy is established to minimize the sum of squares of the substation, which could consider the number of battery chargers, EVs' needs for batteries, power limit of EV charging and switching station and substation, node voltage and so on. By combining the method of power flow linearization and genetic algorithm, the optimal charging starting time of each battery can be obtained quickly, which could reduce the sum of squares and P-V difference of power grid. The correctness and efficiency of the proposed strategy are validated by a EV charging and switching station as a case.
AB - To reduce the negative effects caused by electric vehicles (EVs), this paper proposes a coordinated charging strategy for batteries in EV charging station. According to the charging characteristics of EV batteries, the strategy is established to minimize the sum of squares of the substation, which could consider the number of battery chargers, EVs' needs for batteries, power limit of EV charging and switching station and substation, node voltage and so on. By combining the method of power flow linearization and genetic algorithm, the optimal charging starting time of each battery can be obtained quickly, which could reduce the sum of squares and P-V difference of power grid. The correctness and efficiency of the proposed strategy are validated by a EV charging and switching station as a case.
KW - coordinated charging strategy
KW - electric vehicle
KW - linear power flow
KW - power network limits
UR - https://www.scopus.com/pages/publications/85009990554
U2 - 10.1109/APPEEC.2016.7779793
DO - 10.1109/APPEEC.2016.7779793
M3 - 会议稿件
AN - SCOPUS:85009990554
T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC
SP - 1772
EP - 1776
BT - IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
PB - IEEE Computer Society
T2 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016
Y2 - 25 October 2016 through 28 October 2016
ER -