This paper puts forward the dynamic load prediction of charging piles of energy storage electric vehicles based on time and space constraints in the Internet of Things environment, which can improve the load.
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.
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.
Can energy storage facilities reduce the grid's load during peak electricity consumption?
This demonstrates that using energy storage facilities at the charging station can effectively alleviate the grid's load during peak electricity consumption. Fig. 8. Daily electricity requirements for electric vehicles during peak hours at charging stations.
What is the optimal number of charging piles for PV-es-cs near hospitals?
When the number of EVs increases by 300 %, the optimal number of charging piles for the PV-ES-CS near hospitals increases significantly from 5 to 40. However, the optimal number of charging piles for the PV-ES-CS near office buildings does not increase from 5.
How does a charging pile reduce peak-to-Valley ratio?
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 resources during off-peak periods, reduces user charging costs by 16.83 %–26.3 %, and increases Charging pile revenue.
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.