Sep 13, 2024 · Common indicators and functional descriptions of electric vehicle charging piles [Simple principle Before explaining the various indicators, it is necessary to briefly understand
Aug 1, 2020 · Abstract In this study, to develop a benefit-allocation model, in-depth analysis of a distributed photovoltaic-power-generation carport and energy-storage charging-pile project
Jul 1, 2024 · The results provide a reference for policymakers and charging facility operators. In this study, an evaluation framework for retrofitting traditional electric vehicle charging stations
May 30, 2024 · The proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power
Nov 1, 2020 · Moreover, our model analyses reveal that, under the condition of low utilization rate of fixed charging piles, the levelized cost of electricity for mobile charging piles is much less.
Nov 15, 2024 · Estimating price elasticity of demand for electric vehicle charging contributes to the accurate determination of charging price, thereby improving electric vehicle adoption and
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.
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.
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)
Combining Fig. 10, Fig. 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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