Impact of EV load uncertainty on optimal planning for electric vehicle charging station

Yi Lin Long, Yong Li*, Ya Hui Wang, Yi Jia Cao, Lin Jiang, Yi Cheng Zhou, You Yue Deng, Yosuke Nakanishi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)2469-2476
Number of pages8
JournalScience China Technological Sciences
Issue number11
Publication statusPublished - 2021 Nov


  • electric vehicle charging station
  • load uncertainty
  • optimal planning
  • renewable energy

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)


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