TY - JOUR
T1 - Impact of EV load uncertainty on optimal planning for electric vehicle charging station
AU - Long, Yi Lin
AU - Li, Yong
AU - Wang, Ya Hui
AU - Cao, Yi Jia
AU - Jiang, Lin
AU - Zhou, Yi Cheng
AU - Deng, You Yue
AU - Nakanishi, Yosuke
N1 - Publisher Copyright:
© 2021, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/11
Y1 - 2021/11
N2 - With the development of electric vehicle (EV), there is a huge demand for electric vehicle charging station (EVCS). The utilization of renewable energy sources (RES) in EVCS can not only decrease the energy fluctuation by participating in peakload reduction of the grid, but also reduce the pollution to the environment by cutting down the use of fossil fuels. In this paper, the optimal planning for grid-connected EVCS with RES is studied by considering EV load uncertainty. Nine scenarios are set based on a different characteristic of EV load to reveal the impact of EV load on net present cost (NPC) and to express the relationship between optimal capacity and energy flow. Moreover, since electricity price also plays an important role in EVCS planning, an economic comparison between different cases with different electricity price for peak-valley-flat period is carried out. The results reveal the economic benefits of applying RES in EVCS, and demonstrate that EV load with different characteristics would influence the capacity of each device (PV, battery, converter) in the EVCS optimal planning.
AB - With the development of electric vehicle (EV), there is a huge demand for electric vehicle charging station (EVCS). The utilization of renewable energy sources (RES) in EVCS can not only decrease the energy fluctuation by participating in peakload reduction of the grid, but also reduce the pollution to the environment by cutting down the use of fossil fuels. In this paper, the optimal planning for grid-connected EVCS with RES is studied by considering EV load uncertainty. Nine scenarios are set based on a different characteristic of EV load to reveal the impact of EV load on net present cost (NPC) and to express the relationship between optimal capacity and energy flow. Moreover, since electricity price also plays an important role in EVCS planning, an economic comparison between different cases with different electricity price for peak-valley-flat period is carried out. The results reveal the economic benefits of applying RES in EVCS, and demonstrate that EV load with different characteristics would influence the capacity of each device (PV, battery, converter) in the EVCS optimal planning.
KW - electric vehicle charging station
KW - load uncertainty
KW - optimal planning
KW - renewable energy
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U2 - 10.1007/s11431-021-1897-x
DO - 10.1007/s11431-021-1897-x
M3 - Article
AN - SCOPUS:85117171486
SN - 1674-7321
VL - 64
SP - 2469
EP - 2476
JO - Science China Technological Sciences
JF - Science China Technological Sciences
IS - 11
ER -
