•  
  •  
 

Keywords

electric vehicle, responsive capacity, electricity market, bidding strategy, robust optimization

Abstract

The large-scale integration and interaction of electric vehicles with the power grid have become an inevitable trend.As key entities in the interaction between electric vehicles and the power grid，charging stations can aggregate the charging and discharging resources of electric vehicles to participate in electricity market bidding，thus balancing their own interests and the operational needs of the power grid.Based on this，a model capable of predicting the day-ahead responsive capacity was first proposed by considering the active charging response of electric vehicles.Second，a robust optimization bidding model was established for charging stations participating in the day-ahead electricity market，considering the effects of uncertainties in EV charging and discharging behavior on their bidding strategies and treating the maximum charging and discharging powers as uncertain variables.Finally，simulations were conducted to obtain the charging station ’s day-ahead bidding scheme based on the proposed model，and the effect of the model on the day-ahead bidding strategy was verified in the real-time market.The simulation results demonstrate that the proposed strategy can effectively enhance robustness while ensuring the economic efficiency of the charging station ’s day-ahead bidding.In addition，the strategy yields a real-time market bidding plan that conforms to the actual charging and discharging behavior of the charging station.This strategy can provide a reference for the robust bidding of charging stations.

DOI

10.19781/j.issn.1673-9140.2026.04.025

First Page

304

Last Page

315

Download

Share

COinS