Supercharging charging pile energy storage

How does the energy storage charging pile's scheduling strategy affect cost optimization?

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.

How effective is the energy storage charging pile?

The energy storage charging pile achieved energy storage benefits through charging during off-peak periods and discharging during peak periods, with benefits ranging from 699.94 to 2284.23 yuan (see Table 6), which verifies the effectiveness of the method described in this paper. Table 6.

How to reduce charging cost for users and charging piles?

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.

Do energy storage charging pile optimization strategies reduce peak-to-Valley ratios?

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.

How long does it take to charge a charging pile?

In the charging and discharging process of the charging piles in the community, due to the inability to precisely control the charging time periods for users and charging piles, this paper divides a day into 48 time slots, with the control system utilizing a minimum charging and discharging control time of 30 min.

How does mhihho optimize charging pile discharge load?

Fig. 11. Before and after optimization of charging pile discharge load. The MHIHHO algorithm optimizes the charging pile's discharge power and discharge time, as well as the energy storage's charging and discharging rates and times, to maximize the charging pile's revenue and minimize the user's charging costs.