Abstract

For photovoltaic and energy storage charging stations, the optimal configuration of photovoltaics, energy storage and charging facilities is an important factor affecting the economics of charging stations. This paper first obtain the daily charging demand curve of the charging station, investigates the electricity prices in a certain place in different time periods, and proposes a new strategy for purchasing and selling electricity. Combined with the local photovoltaic output curve, and comprehensively considered the investor and user factors, a charging station capacity optimal configuration model is proposed. The particle swarm algorithm is used to solve the problem, the photovoltaic and energy storage capacity of the charging station are configured, and the various operating indicators of the system are obtained based on the queuing theory. Finally, the rationality of the configuration results is verified from multiple perspectives such as the trend of various costs with capacity changes. The calculation results and the analysis of calculation examples show that the method proposed in this paper can realize the reasonable configuration of photovoltaic, energy storage and charging facilities, thereby effectively reducing the power purchase of charging stations from the grid during peak time and improving the economics of charging station operation.

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