Control Strategy of Distributed Photovoltaic Storage Charging Pile
To address the aforementioned challenges, this study establishes a solar–storage-integrated charging pile model with the following advanced control strategies.
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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.
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.
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.
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.
To address the aforementioned challenges, this study establishes a solar–storage-integrated charging pile model with the following advanced control strategies.
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