Journal of Applied Sciences ›› 2023, Vol. 41 ›› Issue (5): 896-910.doi: 10.3969/j.issn.0255-8297.2023.05.014

• Computer Science and Applications • Previous Articles    

Charge-Discharge Optimization for Shared Electric Vehicles Under Carbon Trading Regulation

LI Junxiang, HE Wenting, WANG Jinling   

  1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2022-06-22 Published:2023-09-28

Abstract: In this paper, a charge-discharge optimization model of electric vehicles participating in carbon trading market and peak-shaving auxiliary service market is proposed for the study of shared electric vehicles under the switching mode. In the upper model, EV charge and discharge scheduling is carried out with the goal of minimizing the daily operating cost of EV operators, while the lower model continues to optimize the scheduling results of the upper layer with the goal of minimizing the fluctuation of power grid load. Then, this paper compared and analyzed the charge-discharge schemes from the perspectives of EV operators and the power grid. The carbon emissions produced by electric vehicle operators are compared with that by gas-powered vehicle operators over one operating cycle. Finally, simulation results show that the proposed model can meet users’ travel needs while reducing the cost of operators and the load fluctuation of power grid.

Key words: carbon emission, battery exchange mode, shared electric vehicles, chargedischarge, bi-level programming

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