Based on the real-time collected basic load of the residential area and with a fixed maximum input power from the same substation, calculate the maximum operating power of the energy storage-based charging pile for each time period: (1) P m (t h) = P am − P b (t h) = P cm (t h) − P dm (t h)
By using the energy storage charging pile''s scheduling strategy, most of the user''s charging demand during peak periods is shifted to periods with flat and valley electricity prices. At an average demand of 30 % battery capacity, with 50–200 electric vehicles, the cost optimization decreased by 18.7%–26.3 % before and after optimization.
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.
The simulation results demonstrate that our proposed optimization scheduling strategy for energy storage Charging piles significantly reduces the peak-to-valley ratio of typical daily loads, substantially lowers user charging costs, and maximizes Charging pile revenue.
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