Energy storage management for EV charging stations: Comparison between uncoordinated and statistical charging loads

The high share of electric vehicles (EVs) in the transportation sector is one of the main pillars of sustainable development. Availability of a suitable charging infrastructure and an affordable electricity cost for battery charging are the main factors affecting the increased adoption of EVs. The installation location of fixed charging stations (FCSs) may not be completely compatible with the changing pattern of EV accumulation. Besides, their power withdrawal location in the network is fixed, and also, the time of receiving the power follows the EVs’ charging demand. The EV charging demand pattern conflicts with the network peak period and causes several technical challenges besides high electricity prices for charging. A mobile battery energy storage (MBES) equipped with charging piles can constitute a mobile charging station (MCS). The MCS has the potential to target the challenges mentioned above through a spatio-temporal transfer in the required energy for EV charging. Accordingly, in this paper, a new method for modeling and optimal management of mobile charging stations in power distribution networks in the presence of fixed stations is presented. The MCS is powered through its internal battery utilizing a self-powered mechanism. Besides, it employs a self-driving mechanism for lowering transportation costs. The MCS battery can receive the required energy at a different time and location regarding EVs accumulation and charging demand pattern. In other words, the mobile station will be charged at the most appropriate location and time by moving between the network buses. The stored energy will then be used to charge the EVs in the fixed stations’ vicinity at peak EV charging periods. In this way, the energy required for EV charging will be stored during off-peak periods, without stress on the network and at the lowest cost. Implementing the proposed method on a test case demonstrates its benefits for both EV owners and network operator.

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TOU pricing based energy management of public EV charging stations using energy storage system

2016 IEEE International Conference on Industrial Technology (ICIT) ◽

10.1109/icit.2016.7474795 ◽

2016 ◽

Cited By ~ 5

Author(s):

Kalpesh Chaudhari ◽

Abhisek Ukil

Keyword(s):

Energy Storage ◽

Energy Management ◽

Storage System ◽

Energy Storage System ◽

Charging Stations ◽

Ev Charging

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Study of Energy Storage System: Concept of Using ESS in EV Charging Stations in MEA

2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia) ◽

10.1109/gtdasia.2019.8715908 ◽

2019 ◽

Cited By ~ 1

Author(s):

Varawut Kornsiriluk

Keyword(s):

Energy Storage ◽

Storage System ◽

Energy Storage System ◽

System Concept ◽

Charging Stations ◽

Ev Charging

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Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis

Applied Sciences ◽

10.3390/app10165654 ◽

2020 ◽

Vol 10 (16) ◽

pp. 5654

Author(s):

Fuad Noman ◽

Ammar Ahmed Alkahtani ◽

Vassilios Agelidis ◽

Kiong Sieh Tiong ◽

Gamal Alkawsi ◽

...

Keyword(s):

Energy Storage ◽

Wind Speed ◽

Wind Energy ◽

Large Scale ◽

Wind Farms ◽

Time Interval ◽

Electric Vehicle Charging ◽

Demand Variability ◽

Charging Stations ◽

Ev Charging

The integration of large-scale wind farms and large-scale charging stations for electric vehicles (EVs) into electricity grids necessitates energy storage support for both technologies. Matching the variability of the energy generation of wind farms with the demand variability of the EVs could potentially minimize the size and need for expensive energy storage technologies required to stabilize the grid. This paper investigates the feasibility of using the wind as a direct energy source to power EV charging stations. An interval-based approach corresponding to the time slot taken for EV charging is introduced for wind energy conversion and analyzed using different constraints and criteria, including the wind speed averaging time interval, various turbines manufacturers, and standard high-resolution wind speed datasets. A quasi-continuous wind turbine’s output energy is performed using a piecewise recursive approach to measure the EV charging effectiveness. Wind turbine analysis using two years of wind speed data shows that the application of direct wind-to-EV is able to provide sufficient constant power to supply the large-scale charging stations. The results presented in this paper confirm that the potential of direct powering of EV charging stations by wind has merits and that research in this direction is worth pursuing.

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A Mobile Energy Storage Unit Serving Multiple EV Charging Stations

Energies ◽

10.3390/en14102969 ◽

2021 ◽

Vol 14 (10) ◽

pp. 2969

Author(s):

Mohamed M. Elmeligy ◽

Mostafa F. Shaaban ◽

Ahmed Azab ◽

Maher A. Azzouz ◽

Mohamed Mokhtar

Keyword(s):

Energy Storage ◽

New Technologies ◽

Storage System ◽

Geographical Area ◽

Operating Cost ◽

Optimal Operation ◽

Mixed Integer ◽

Storage Unit ◽

Charging Stations ◽

Ev Charging

Due to the rapid increase in electric vehicles (EVs) globally, new technologies have emerged in recent years to meet the excess demand imposed on the power systems by EV charging. Among these technologies, a mobile energy storage system (MESS), which is a transportable storage system that provides various utility services, was used in this study to support several charging stations, in addition to supplying power to the grid during overload and on-peak hours. Thus, this paper proposes a new day-ahead optimal operation of a single MESS unit that serves several charging stations that share the same geographical area. The operational problem is formulated as a mixed-integer non-linear programming (MINLP), where the objective is to minimize the total operating cost of the parking lots (PLs). Two different case studies are simulated to highlight the effectiveness of the proposed system compared to the current approach.

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