Placement and Capacity of EV Charging Stations by Considering Uncertainties With Energy Management Strategies

Ahmad, Fareed; Iqbal, Atif; Ashraf, Imtiaz; Marzband, Mousa; Khan, Irfan

doi:10.1109/tia.2023.3253817

Cited by 40 publications

(7 citation statements)

References 23 publications

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“…Ahmad et al [58] controlled the charging and discharging of a battery energy storage system (BESS) by applying an energy management strategy, a vehicle-to-grid (V2G) strategy. The Monte Carlo method was utilized to solve the uncertainty of EV charging and PV power generation.…”

Section: Capacity Configuration Of Integrated Pv and Energy Storage C...mentioning

confidence: 99%

A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems

Yao,

Da,

et al. 2024

WEVJ

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Electric vehicles (EVs) play a major role in the energy system because they are clean and environmentally friendly and can use excess electricity from renewable sources. In order to meet the growing charging demand for EVs and overcome its negative impact on the power grid, new EV charging stations integrating photovoltaic (PV) and energy storage systems (ESSs) have emerged. However, the output of solar PV systems and the charging demand of EVs are both characterized by uncertainty and dynamics. These may lead to large power fluctuations in the grid and frequent alternation of peak and valley loads, which are not conducive to the stability of the distribution network. The study of reasonable capacity configuration and control strategy issues is conducive to the efficient use of solar energy, fast charging of EVs, stability of the distribution network, and maximization of the economic benefits of the system. In this paper, the concept, advantages, capacity allocation methods and algorithms, and control strategies of the integrated EV charging station with PV and ESSs are reviewed. On the basis of the above research, the current problems and challenges are analyzed, and corresponding solutions and ideas are proposed.

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Section: Capacity Configuration Of Integrated Pv and Energy Storage C...mentioning

confidence: 99%

A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems

Yao,

Da,

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

“…This allows the power-rating and switching-frequency of each semi-conductor to be decreased while improving the current-ripple of low-battery. 51 Figure 3 portrays electric vehicle battery pack and fast charging station DC-Bus connected via an inter-leaved buck-type DC-DC power-converter. The batteries used for load shifting must connect to dc-bus by a bi-directional dc-dc converter.…”

Section: Design Of Power Electronics Convertersmentioning

confidence: 99%

“…An interleaved topology can be used in place of a buck‐type converter by considering the nominal power converter and its application. This allows the power‐rating and switching‐frequency of each semi‐conductor to be decreased while improving the current‐ripple of low‐battery 51 …”

Section: Configuration Of Power‐electronic Converters For Ev‐fcsmentioning

confidence: 99%

Power electronics converters for an electric vehicle fast charging station based energy storage system and renewable energy sources: Hybrid approach

Gopal,

Jawahar,

Athmanathan

et al. 2023

Optim Control Appl Methods

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A hybrid method is proposed for electric‐vehicle (EV) fast charging station (FCS)‐based power electronics converters with energy‐storage‐systems (ESS) and renewable‐energy‐sources (RESs). The proposed approach is the combination of the fire hawk optimizer (FHO) and gradient boost decision tree (GBDT) algorithms; hence called as FHO‐GBDT approach. The key objective of the FHO‐GBDT approach is to lessen the peak power demand on the grid. The proposed method is incorporated into EV‐FCS with the capability of a mixture of RESs and energy‐storage‐systems. The capacities of energy‐storage aid in improving power‐demand by lessening the demand for peak power. The structure of the energy storage system minimizes the net cost of the DC micro‐grid (MG). The ESS is mostly composed of batteries, which are reused by EVs. The proposed approach and the ESS enable a decrease in obtaining the greatest amount of power possible from the power‐grid (PG). By then, the performance of the proposed approach is simulated in MATLAB, and it is compared to various existing methods. The simulation result shows that the proposed method offers more power than the existing methods.

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“…Different optimization techniques are discussed and the effects of EV-generated loads on the distribution network are analyzed. Since EV charging and discharging schedules change the effects of EVCS on the electricity grid, studies have been conducted on various optimization techniques [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the effects of electric vehicle charging stations and solar energy integration on grid performance

OLCAY,

ÇETİNKAYA

2023

JSR-A

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In this study, the negative effects of electric vehicle charging stations, whose use has rapidly increased all over the world in the last few years, on the electricity network were analyzed. The charging station was purchased and installed in a suitable area. Measurements taken using the energy analyzer at this charging station were examined. An electrical network model has been prepared. IEEE 6-bus power test system data was used for this model. The model was built using Electrical Transient Analyzer Program (ETAP). In addition to the existing loads on the electricity grid, the loads that will occur with the increase in electric vehicle charging stations have also been added. In this case, this electrical network was analyzed using the Newton-Raphson load flow algorithm with the existing load data of the generators, buses and data of the added charging station loads in the IEEE 6-bus test system network. Considering that one thousand additional charging stations come as load for each load bus, 22 MW load was added. In order to reduce the power losses detected here, grid-connected solar power plants have been proposed. By adding these power plants, it is aimed to reduce the negative effects of the load increase caused by electric vehicle charging stations. For the case of adding solar power plants (SPP), the results were examined by making load flow and it was shown that the network losses decreased. As a result of the study, as a result of adding electric vehicle charging station loads (EVCS) to each load bus in addition to the existing loads, active power loss doubled and reactive power loss reached more than three times. In the buses with the recommended consumption, these losses, which increased with the energy production by load solar power plants, decreased by more than half.

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Placement and Capacity of EV Charging Stations by Considering Uncertainties With Energy Management Strategies

Cited by 40 publications

References 23 publications

A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems

A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems

Power electronics converters for an electric vehicle fast charging station based energy storage system and renewable energy sources: Hybrid approach

Investigation of the effects of electric vehicle charging stations and solar energy integration on grid performance

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