A Novel Reliability Index Based Approach for EV Charging Station Allocation in Distribution System

Archana, A. N.; Rajeev, T.

doi:10.1109/tia.2021.3109570

Cited by 39 publications

(10 citation statements)

References 18 publications

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“…Because the installation of the charging station is dependent on the capital investment and expenditure for the maximum charging port capacity in a particular area. Before installing the charging station, the reliability test should be applied to the selected port configuration for budget allocation to procure the required ports [38]- [39]. Based on the above statement the reliability estimation has been considered and the reliability estimation methodology introduced as shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

The Reliability and Economic Evaluation Approach for Various Configurations of EV Charging Stations

Vaishali,

Prabha

2024

IEEE Access

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Electric vehicles (EVs) become more popular as a form of transportation and companies that make useful things are focusing on building charging stations for customers. It is hard to keep charging ports reliable for EVs that are being charged in between, even though charging station companies are building stations according to the distribution system's requirements. To make the charging station of the distribution system more reliable, the 36-ported design has been proposed with the combination of uniform and nonuniform port arrangement. The configurations have been functioned with 50-350 kW distribution system. The failure rate estimation has been implemented with the standards of the MILHDBK217F book. The probability function of the ports has been evaluated in terms of failure rate and reliability as per the standards of the MILHBK-338B book. As per the failure rate of each port, the evaluation process has been introduced to find the success rate of the charging station. The failure rate of the port arrangement of the proposed 36ported charging station has been evaluated by using the binomial distribution method. Moreover, the cost estimation process has been implemented for the proposed 36-ported charging system in terms of the failure rate and success rate of the individual port maintenance. By the consideration of individual port failure rate and reliability of the 36-ported configuration, the voltage stability of the distribution station has been evaluated. It is inferred that the lesser failure rate and maintenance cost are achieved with better reliability of port arrangement and voltage stability as well.INDEX TERMS Charging port configurations, Electric vehicles, Failure rate evaluation, Reliability probability of charging port, Voltage stability of charging station.

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Section: Methodsmentioning

confidence: 99%

The Reliability and Economic Evaluation Approach for Various Configurations of EV Charging Stations

Vaishali,

Prabha

2024

IEEE Access

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“…The network has one substation transformer of 5 MVA, 32 DTs, and 32 branches numbered by the ending bus of each branch. The rated power of the load at the buses are 100 kW (bus 1), 90 kW (buses 2, 17-22), 120 kW (buses 3, 13, 28, 29, 31), 60 kW (buses 4,5,8,9,11,12,[14][15][16][25][26][27], 100 kW (buses 6, 7), 40 kW (bus 10), 210 kW (buses 23, 24), 150 kW (bus 30), 80 kW (bus 32), with power factor of 0.895. The current-carrying capacities at the reference ambient temperature are 300 A, 200 A, 100 A, and 50 A for branch 1, branch 2, branches 3-5, and branches 6-32, respectively.…”

Section: A Test Networkmentioning

confidence: 99%

“…Given the significant impact on system reliability and the expected increase in EV usage, EV smart charging needs to be prioritized, as analyzed in [9], [14], [22]. Previous studies compare LOLP and EENS reliability indices for uncontrolled charging versus smart charging [23], propose time allocation strategies of home and public charging [17], quantify the maximum permissible EV load without system reliability degradation [24], [25], propose bidirectional control strategies for EV charging stations [26], or focus on optimal EV charging station allocation [27], [28]. Car parks with a large number of EVs are considered as backup energy sources to support the grid in case of feeder failure or feeder component failure [29].…”

Section: Introductionmentioning

confidence: 99%

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

Zhao,

Arefi,

Borghetti

et al. 2024

Journal of Modern Power Systems and Clean Energy

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There is a general concern that the increasing penetration of electric vehicles (EVs) will result in higher aging failure probability of equipment and reduced network reliability. The electricity costs may also increase, due to the exacerbation of peak load led by uncontrolled EV charging. This paper proposes a linear optimization model for the assessment of the benefits of EV smart charging on both network reliability improvement and electricity cost reduction. The objective of the proposed model is the cost minimization, including the loss of load, repair costs due to aging failures, and EV charging expenses. The proposed model incorporates a piecewise linear model representation for the failure probability distributions and utilizes a machine learning approach to represent the EV charging load. Considering two different test systems (a 5-bus network and the IEEE 33-bus network), this paper compares aging failure probabilities, service unavailability, expected energy not supplied, and total costs in various scenarios with and without the implementation of EV smart charging.

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“…Modified 3-phase buck rectifier to improve input current total harmonic distortion [33] Reliability Optimal placement of charging stations…”

Section: Power Convertermentioning

confidence: 99%

Electric Vehicles: From Charging Infrastructure to Impacts on Utility Grid

Ibrahim,

Gaber

2024

Advances in Transdisciplinary Engineering

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Electric vehicles (EVs) are penetrating rapidly into the transport sector, profoundly impacting the electricity and energy sectors. While EVs bring many benefits, they present challenges to utility grid operators, particularly during charging their batteries. Uncoordinated charging stands out as a critical charging strategy requiring attention to mitigate potential adverse effects on power grids. Smart charging and vehicle-to-grid (V2G) technologies enable intelligent and bidirectional power transfer between the EV and the grid taking into account network conditions and requirements. However, the widespread adoption of these technologies depends on the formulation of effective infrastructure and regulatory frameworks. This paper presents the effects of unmanaged charging of EVs on the utility grid power quality such as voltage violations, utility assets overloading and harmonic distortion. The paper also sheds light on some mitigation strategies incorporated in literature to reduce the adverse effects of EV integration.

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A Novel Reliability Index Based Approach for EV Charging Station Allocation in Distribution System

Cited by 39 publications

References 18 publications

The Reliability and Economic Evaluation Approach for Various Configurations of EV Charging Stations

The Reliability and Economic Evaluation Approach for Various Configurations of EV Charging Stations

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

Electric Vehicles: From Charging Infrastructure to Impacts on Utility Grid

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