The energy storage charging pile achieved energy storage benefits through charging during off-peak periods and discharging during peak periods, with benefits ranging from 501. At an average demand of 50 % battery capacity, with 50–200 electric vehicles, the cost optimization decreased by 18.
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.
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.
How do fast/slow charging piles help EVs in a multi-microgrid?
Considering the power interdependence among the microgrids in commercial, office, and residential areas, the fast/slow charging piles are reasonably arranged to guide the EVs to arrange the charging time, charging location, and charging mode reasonably to realize the cross-regional consumption of renewable energy among multi-microgrids.
Do fast/slow charging piles guide the orderly charging of EVs?
Considering the net load characteristics, climbing ability, and power interdependence of microgrids in commercial areas, office areas, and residential areas, the capacity and charging price of fast/slow charging piles in each area are optimized to guide the orderly charging of EVs. The following conclusions are formed by comparison of examples:
The advantage of DC charging pile is that the charging voltage and current can be adjusted in real time, and the charging time can be significantly shortened when the charging current are large, which is a more widely used charging method at present.
How does optimization scheduling work for energy storage charging piles?
a. Based on the charging parameters provided above and guided by time-of-use electricity pricing, the optimization scheduling system for energy storage charging piles calculated the typical daily load curve changes for a certain neighborhood after applying the ordered charging and discharging optimization scheduling method proposed in this study.