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In recent years, the traditional power grid has revealed its intrinsic flaws. On the one hand, its power generation mainly relies on fossil energy, which inevitably emits carbon dioxide and other gases and causes environmental pollution; on the other hand, the structure of centralized power generation leads to its possible chain reaction of failures. Meanwhile, With the development of new energy technologies, distributed power generation systems represented by nano-grids (NGs) and micro-grids (MGs) and electric vehicles (EVs) have emerged. Charging and discharging are the two forms of EVs, which can play a driving role in relieving the pressure of power supply at peak hours of the grid and achieving peak shaving. In this paper, the electric vehicle (EV) travel characteristics are studied by using the residential community with the nano-grid (NG). For the problem of matching the supply-demand difference between the EV discharging process and the NG system, a reservation discharging mechanism is proposed, and an optimal scheduling strategy for the NG is developed on this basis. A small-scale NG system containing wind turbine, photovoltaic, energy storage and electric vehicle is simulated in MATLAB platform, and the effectiveness of this mechanism is verified through simulation cases.