Polytope-Based Flexible Aggregation and Disaggregation Strategy for Electric Vehicles

The substantial rise in the number of electric vehicles (EVs) presents both challenges and opportunities for the grid. EVs can participate in demand response as aggregators, thereby providing a variety of ancillary services, including peaking and frequency regulation. The study of EV cluster aggregation is of significant importance. In this paper, we put forward an aggregation and disaggregation algorithm for EV aggregators that is suitable for the accurate aggregation of flexible large-scale clusters with different charging time. The aggregation is conducted by modeling the flexibility as a polytope and describing the aggregatied value in terms of the approximate Minkowski sum. The disaggregation considers the regulation cost and user satisfaction of individual EVs while ensuring the security of the regulation commands. Simulation experiments demonstrate the effectiveness and convenience of this method.