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The booming development of the new energy EV industry has brought about problems related to the construction and operation of new energy vehicle charging stations. Unattended is a mainstream trend in all future industries, and charging stations are no exception. The unattended charging station is required to not only solve the sudden situation in the station, but also can fully and reasonably utilize the local power resources to realize the rational optimization and scheduling of the power resources. Therefore, the purpose of this paper is to study how to balance the use of local existing power resources, so that the charging station operating costs and battery losses can be minimized. Based on the analysis of the system function and operation mode of solar charging station and considering the validity and reliability of the model, the optimal scheduling model is established to access wind power, firepower and other power resources. The multi-objective function optimization model is calculated by non-dominated genetic algorithm NSGA-II, which provides a reference path for future operational management issues involving multiple power resources.