Optimal operation of energy storage system in photovoltaic-storage
Photovoltaic charging stations are new energy charging stations that use photovoltaics to charge electric vehicles. Since photovoltaic output is closely related to
There have been some research results in the scheduling strategy of the energy storage system of the photovoltaic charging station. It copes with the uncertainty of electric vehicle charging load by optimizing the active and reactive power of energy storage .
Therefore, an optimal operation method for the entire life cycle of the energy storage system of the photovoltaic-storage charging station based on intelligent reinforcement learning is proposed. Firstly, the energy storage operation efficiency model and the capacity attenuation model are finely modeled.
The model is trained by the actual historical data, and the energy storage charging and discharging strategy is optimized in real time based on the current period status. Finally, the proposed method and model are tested, and the proposed method is compared with the traditional model-driven method.
The study results show that the configuration capacity of energy storage system and the composite cost of investment and operation can be effectively reduced when vehicle-to-grid is considered, meanwhile considering uncertainty can improve the ability of the charging station to resist risks. 1. Introduction
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