With the increase in the power receiving proportion and an insufficient peak regulation capacity of the local units

the receiving-end power grid struggles to achieve peak regulation in valley time. To solve this problem while considering the potential of the large-scale charge load of electric vehicles (EVs)

an aggregator-based demand response (DR) mechanism for EVs that are participating in the peak regulation in valley time is proposed in this study. In this aggregator-based DR mechanism

the profits for the power grid’s operation and the participation willingness of the EV owners are considered. Based on the characteristics of the EV charging process and the day-ahead unit generation scheduling

a rolling unit commitment model with the DR is established to maximize the social welfare. In addition

to improve the efficiency of the optimization problem solving process and to achieve communication between the independent system operator (ISO) and the aggregators

the clustering algorithm is utilized to extract typical EV charging patterns. Finally

the feasibility and benefits of the aggregator-based DR mechanism for saving the costs and reducing the peak-valley difference of the receiving-end power grid are verified through case studies.