Cooperative operation strategy of electric vehicle and photovoltaic power station considering carbon reduction benefit under dynamic electricity price.

In the context of the global green and low-carbon transformation, microgrids containing renewable energy have been widely developed. At present, renewable energy generation has the disadvantages of instability and low energy density. In addition, the high proportion of electric vehicles (EVs) connected to the state grid will cause different degrees of disturbance to its safe operation. Therefore, a coordinated operation strategy of EV and photovoltaic (PV)-energy-storage charging stations induced by dynamic electricity price considering carbon reduction benefit is proposed. On the power generation side, a dual-axis PV tracking control method with "fixed frequency + variable frequency" control is proposed. One day is used as a period to divide the time segments, and the same time segment uses the fixed frequency tracking method, while different time segments use the variable frequency tracking method to improve the power generation efficiency. On the electricity consumption side, a dynamic electricity price strategy is adopted, using the minimum carbon reduction cost as the reward function, optimizing the dynamic electricity price under the minimum carbon reduction cost using the deep deterministic policy gradient (DDPG) algorithm to promote the shifting of EV charging load to the effective hours of PV generation. In conclusion, the simulation analysis is carried out in Zibo City, and the generation capacity of the proposed tracking method on the power generation side is improved by about 32% compared with the fixed PV generation capacity. Compared with the time-of-use electricity price, the optimized dynamic electricity price under the minimum carbon reduction cost can better promote the load transfer and photoelectric consumption of EVs and reduce the carbon reduction cost.