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With the continuous increase in the proportion of renewable energy represented by wind and light in the power grid in recent years, on the one hand, the energy structure of the existing power grid has been directly optimized, and on the other hand, the full utilization of renewable clean energy can also reduce traditional power generation. The pollution caused by the industry to the environment. As an indispensable infrastructure for electric vehicles, charging and swapping stations, after being connected to a distributed micro-grid, can play a role in reducing peaks and valleys, promoting the consumption of new energy, and saving costs through reasonable configuration. The analysis of calculation examples shows that the intelligent charging and swapping system model based on the potential game theory proposed in this paper can effectively reduce the operating cost and user cost of the swap station, and effectively improve the level of wind and solar consumption, and achieve the level of smoothing the grid curve and peak-shaving and valley-filling. Purpose has important practical significance and engineering value.

Research on the configuration of charging and switching facilities for electric vehicles is an important part of the development of related industries. In this paper, based on the analysis of charging behaviour of electric vehicles, the mathematical model is established by using queuing theory, and on this basis, the marginal cost theory of microeconomics is introduced to analyse the number of charging facilities under different utilization rates. The marginal cost model of charging and switching facilities is established with the objective of minimizing the total marginal cost of charging and switching facilities service system, and is verified by an actual example. The results show that through the rational allocation of the number of facilities, the marginal cost under different utilization rates can be optimized, which can provide strong support for decision makers to make operation plans and promote industrial development.

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