Optimal planning of renewable generations for electric vehicle charging station

Hao Wang, Arish Balasubramani, Zilong Ye

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)


Driven by the recent innovation in battery technology and electric drivetrain, electric vehicles (EVs) have grown rapidly and are widely deployed to enable a sustainable transportation system. One of the key challenges is how to optimize the sizing and operation of the charging stations to meet the ever-increasing EV demands. In this paper, we develop a two-stage optimization framework to address this challenge. The proposed framework can determine the optimal capacity of renewable energy generation, and the optimal scheduling for power supply, in two stages, respectively. We reformulate a single-level stochastic programming problem to solve the two-stage optimization problem. In addition, we analyze the arrival patterns and demand profiles of EVs using real-world data to facilitate a practical EV request model. Numerical results demonstrate the optimal planning for a renewable-powered EV charging station. We show the optimal mix of solar and wind energy generations and the optimized power scheduling.

Original languageEnglish
Title of host publication2018 International Conference on Computing, Networking and Communications (ICNC)
EditorsHonggang Wang, Enzo Mingozzi
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781538636527, 9781538636510
ISBN (Print)9781538636534
Publication statusPublished - 2018
Externally publishedYes
EventInternational Conference on Computing, Networking and Communications 2018
- Maui, United States of America
Duration: 5 Mar 20188 Mar 2018
https://ieeexplore.ieee.org/xpl/conhome/8360884/proceeding (Proceedings)


ConferenceInternational Conference on Computing, Networking and Communications 2018
Abbreviated titleICNC 2018
Country/TerritoryUnited States of America
Internet address


  • charging station
  • electric vehicle
  • energy storage
  • renewable energy
  • Smart grid
  • solar
  • wind

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