Case studies are presented to show (i) the relationships between energy storage size, grid power and PEV demand and (ii) how on-site storage can reduce peak electricity consumption and the...
View moreCase studies are presented to show (i) the relationships between energy storage size, grid power and PEV demand and (ii) how on-site storage can reduce peak electricity consumption and the...
View moreAbstract: To reduce electric vehicle carbon dioxide emissions while charging and increase charging pile utilization, this study proposes an optimization method for charging-station
View moreAccording to the second-use battery technology, a capacity allocation model of a PV combined energy storage charging station based on the cost estimation is established, taking the maximum net
View more1 天前· A review of capacity allocation and control strategies for electric vehicle charging stations with ıntegrated photovoltaic and energy storage systems. World Electr.
View moreFor plug-in hybrid electric vehicle (PHEV), using a hybrid energy storage system (HESS) instead of a single battery system can prolong the battery life and reduce the
View moreTo relieve the peak operating power of the electric grid for an electric bus fast-charging station, this paper proposes to install a stationary energy storage system and introduces an...
View moreThe 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
View moreWith the gradual popularization of electric vehicles, users have a higher demand for fast charging. Taking Tongzhou District of Beijing and several cities in Jiangsu Province as examples, the charging demand of electric vehicles is studied. Based on this, combining energy storage technology with charging piles, the method of increasing the power scale of charging piles is
View moreThe 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.
View moreAbstract: To reduce electric vehicle carbon dioxide emissions while charging and increase charging pile utilization, this study proposes an optimization method for charging-station location and capacity determination based on multi-strategy fusion that considers the optical-storage charging station.
View moreWith the gradual popularization of electric vehicles, users have a higher demand for fast charging. Taking Tongzhou District of Beijing and several cities in Jiangsu Province as examples, the
View moreTo relieve the peak operating power of the electric grid for an electric bus fast-charging station, this paper proposes to install a stationary energy storage system and
View moreHere, a denotes the PV installation capacity of each charging station, b represents the energy storage system capacity for each station, and c indicates the number of charging piles at each station (c is a positive integer).
View moreFor plug-in hybrid electric vehicle (PHEV), using a hybrid energy storage system (HESS) instead of a single battery system can prolong the battery life and reduce the vehicle cost. To develop a PHEV with HESS, it is a key link to obtain the optimal size of the power supply and energy system that can meet the load requirements of a driving cycle.
View moreThe 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.
View moreTo 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.
Combining Figs. 10 and 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.
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.
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.
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.
Nowadays, plug-in hybrid electric vehicles (PHEVs) are attracting increasing attention from the automotive industry [ 1 ]. Compared with traditional hybrid electric vehicles, PHEVs are equipped with larger capacity batteries that can be charged from the power grid, which greatly reduce the energy consumption cost and carbon dioxide emissions [ 2 ].
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