To optimize grid operations, concerning energy storage charging piles connected to the grid, the charging load of energy storage is shifted to nighttime to fill in the valley of the grid''s baseline load. During peak electricity consumption periods, priority is given to using stored energy for electric vehicle charging.
Based on the flat power load curve in residential areas, the storage charging and discharging plan of energy storage charging piles is solved through the Harris hawk optimization algorithm based on multi-strategy improvement.
Based Eq. , to reduce the charging cost for users and charging piles, an effective charging and discharging load scheduling strategy is implemented by setting the charging and discharging power range for energy storage charging piles during different time periods based on peak and off-peak electricity prices in a certain region.
Combining Figs. 10 and 11, it can be observed that, based on the cooperative effect of energy storage, in order to further reduce the discharge load of charging piles during peak hours, the optimized scheduling scheme transfers most of the controllable discharge load to the early morning period, thereby further reducing users'' charging costs.
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