Abstract: In order to solve the problem of “peak-on-peak” load in distribution networks caused by the superposition of EV ( Electric Vehicle) users’ base load and unordered EV charging load in residential communities, the following solution is proposed Firstly, based on cloud-edge collaboration theory and big data technology, a cloud-edge collaborative optimization scheduling framework is established for comprehensive interconnection of distribution networks, charging station operators, intelligent charging piles, and EV user information. Secondly, an EV user charging scheduling mechanism considering the minimum profit or maximum cost acceptable to users is proposed. Then, a two-layer multi-objective orderly charge and discharge optimization regulation model is established from the perspectives of both the grid side and the user side. Finally, taking EV load data in residential areas as an example, the COA(Coati Optimization Algorithm) is proposed to solve the model. The simulation results verify the effectiveness and superiority of the proposed model and method. It can achieve better peak cutting and valley filling, and improve the user’s charging experience. 

Key words: electric vehicles, cloud edge cooperative scheduling framework, electric vehicle scheduling mechanism, orderly charge and dis-charge, coati optimization algorithm