Abstract

In order to reduce the adverse impact of electric vehicles (EVs) charging load on the grid and guide users to participate in the grid interaction reasonably and effectively, an coordinated charging and discharging control model of EVs based on the two dimensions of time and space is established in this paper to meet the dynamic and economic needs of users’ coordinated charging and discharging. Considering the space-time distribution characteristics of EVs, the model is decoupled into an optimal scheduling sub-model based on time and space scale, and the model is solved by genetic algorithm and power flow calculation. The example shows that the model can effectively reduce the peak-to-valley difference, achieve the effect of peak-cutting and valley-filling, and the dual optimization goals of optimizing the operation of the system and encouraging users to participate in V2G are achieved.

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