A Hybrid Price-Point Incentive-Based Approach for Fleet Charging Aggregation Scheduling

Abstract:

To alleviate the pressure on the power grid， a method is proposed for aggregating electric vehicles （EVs） in grid dispatch. The method establishes a framework for grid-charging aggregation， incorporating the power grid， charging aggregators， and EVs. It utilizes a hybrid incentive approach that combines dynamic integration of incentives and time-of-use pricing to motivate user engagement. Real-time evaluation of user participation intention is conducted using fuzzy reasoning. Subsequently， a multi-objective optimization model is developed and validated using operational data from vehicles. The results demonstrate the superiority of the proposed method over alternative approaches， as it enhances grid charging capacity， reduces average electricity costs， and addresses low-demand periods， while efficiently catering to various vehicle-station scale scenarios.

Key words:aggregated scheduling methods for electric vehicles (EVs);hybrid incentives;fuzzy inference;multi-objective optimization