Abstract: n response to the issue that photovoltaic energy storage charging stations have high operating cost and load fluctuations in the distribution grid caused by the shortcomings of the operating strategy, a multi-timescale optimal scheduling strategy based on time-varying boundary constraints for photovoltaic energy storage charging stations is proposed. Firstly, the goal is to minimize the daily operating cost, and the electric vehicle charging load and photovoltaic generation power intervals are predicted. Next, is to minimize the mean square deviation of load fluctuation on the distribution network. Constraints with time-varying boundaries are constructed based on the boundaries of the predicted intervals, grid feed-in pricing of photovoltaic and time-of-use pricing. Finally, setting multiple scenarios and utilizing the CPLEX solver in Matlab for optimization, The simulation results reveal that the scheduling strategy reduces daily operational costs and decreases the mean square deviation of load fluctuation.

Key words: photovoltaic energy storage charging stations, predicted interval, multi-time scale, optimization and scheduling, constraints with time-varying boundary