Volume 39: Energy Transitions toward Carbon Neutrality: Part II

An Electric Vehicle Flexibility Characterization Method Based on The Behavior Data of Users Xiaohong Dong, Yanqi Ren, Xiaodan Yu, Xing Dong, Mingshen Wang

Abstract

The number and penetration of electric vehicles(EVs) are increasing. Electric vehicle charging load has the two characteristics of power load and energy storage because electric vehicles are becoming a new flexible resource to participate in the auxiliary services of power systems, which can improve the operation of power systems. As the basis of electric vehicle flexibility application, the flexibility characterization of electric vehicles has become the primary problem to be solved. Therefore, an electric vehicle flexibility characterization method based on the behavior data of users is proposed. Firstly, the original data is cleaned and reconstructed, and the behavior data set of electric vehicle users is extracted. Then, based on the electric vehicle user behavior data set, an electric vehicle user flexibility potential evaluation index system is proposed, which characterizes the electric vehicle flexibility potential from the three dimensions of capacity, charging time, and charging power. Secondly, an electric vehicle flexibility controllable region construction method based on an evaluation index is proposed to describe the flexibility of electric vehicle users with different charging habits. Finally, using real user data for verification, the results show that the proposed method can accurately describe the flexibility of different electric vehicle users. The results can provide a basis for electric vehicle aggregators (EVA) to participate in power grid auxiliary services.

Keywords behavior data, electric vehicles, flexibility, controllable region, user behavior analysis