TY - JOUR
T1 - Reactive power compensation using electric vehicles considering drivers' reasons
AU - Su, Su
AU - Hu, Yong
AU - Wang, Shidan
AU - Wang, Wei
AU - Ota, Yutaka
AU - Yamashita, Koji
AU - Xia, Mingchao
AU - Nie, Xiaobo
AU - Chen, Lijiang
AU - Mao, Xia
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2018.
PY - 2018/11/13
Y1 - 2018/11/13
N2 - The node voltage profile is more likely to be violated as the electric vehicles (EVs) charging load spreads in distribution network. Due to the stochastic nature of EV charging load spatially, more flexible reactive power compensation in different locations becomes important. However, the conventional reactive power compensation equipment has no flexibility spatially. Therefore, two kinds of reactive power compensation strategies using EVs considering drivers' reasons are proposed. Drivers' reasons contain charging demand, charging opportunity loss (time) and profit. In Strategy 1, EV chargers are used to fully compensate reactive power after finishing the unregulated charging. Thus, drivers' charging behaviour is not influenced at all. In Strategy 2, the operating power factors of EV chargers are treated as variables for the optimisation. The constraint of operating power factors is derived from analysing the charging demand and the charging opportunity loss (time) for drivers. Then, in order to motivate drivers, an incentive method is introduced based on the quantification of each driver's contribution to the voltage. The case study shows that Strategy 1 performs well at nodes having the non-significant voltage deviation without any constraint on driver's charging behaviour, while Strategy 2 performs well at nodes where the voltages deviation is significant.
AB - The node voltage profile is more likely to be violated as the electric vehicles (EVs) charging load spreads in distribution network. Due to the stochastic nature of EV charging load spatially, more flexible reactive power compensation in different locations becomes important. However, the conventional reactive power compensation equipment has no flexibility spatially. Therefore, two kinds of reactive power compensation strategies using EVs considering drivers' reasons are proposed. Drivers' reasons contain charging demand, charging opportunity loss (time) and profit. In Strategy 1, EV chargers are used to fully compensate reactive power after finishing the unregulated charging. Thus, drivers' charging behaviour is not influenced at all. In Strategy 2, the operating power factors of EV chargers are treated as variables for the optimisation. The constraint of operating power factors is derived from analysing the charging demand and the charging opportunity loss (time) for drivers. Then, in order to motivate drivers, an incentive method is introduced based on the quantification of each driver's contribution to the voltage. The case study shows that Strategy 1 performs well at nodes having the non-significant voltage deviation without any constraint on driver's charging behaviour, while Strategy 2 performs well at nodes where the voltages deviation is significant.
UR - https://www.scopus.com/pages/publications/85056484888
U2 - 10.1049/iet-gtd.2017.1114
DO - 10.1049/iet-gtd.2017.1114
M3 - Article
AN - SCOPUS:85056484888
SN - 1751-8687
VL - 12
SP - 4407
EP - 4418
JO - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
IS - 20
ER -