Electric vehicles (EV) have brought new challenges and opportunities to the power grid. EV is a special flexible resource with both load and energy storage properties. It is imperative to implement scheduling schemes and demand response (DR) scheduling strategies in the interaction process of vehicle to grid. Given the existing problems, relevant research is reviewed comprehensively. First, to review the orderly charging and discharging model of EV, the clustering methods are discussed based on the user’s travel habits, drawing the conclusion that it can effectively improve the accuracy of the model considering the characteristic variables clustering. Second, the existing DR strategies are reviewed. By balancing and coordinating various DR strategies, the scheduling potential of users can be effectively stimulated. Third, based on DR strategies, it summarizes how to improve the accuracy of DR evaluation from the perspectives of data and mechanism. Finally, future research is prospected: the power grid can focus on research on peak-valley period refinement, the aggregators should set up more appropriate strategies for different clusters, and the market players need effective business models in future.